AlphaFold Database Debiasing for Robust Inverse Folding | Paper Citation Record

Observation f8d75aeb-a09b-4906-a16f-b8c8d1dd5048 · outbound

This paper cites Highly accurate protein structure prediction with alphafold.nature, 596(7873):583–589, 2021.

AlphaFold Database Debiasing for Robust Inverse Folding Highly accurate protein structure prediction with alphafold.nature, 596(7873):583–589, 2021

Reference 1

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Observation 5d30f47e-6dd8-40dd-8d8f-37bb72b2eb35 · outbound

This paper cites Protein complex prediction with alphafold-multimer.biorxiv, pages 2021–10, 2021.

AlphaFold Database Debiasing for Robust Inverse Folding Protein complex prediction with alphafold-multimer.biorxiv, pages 2021–10, 2021

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T05:19:22.505451Z

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Observation dc4348a7-c4d9-44da-9d71-89f2f9171186 · outbound

This paper cites Accurate structure prediction of biomolecular interactions with alphafold 3.Nature, 630(8016):493–500, 2024.

AlphaFold Database Debiasing for Robust Inverse Folding Accurate structure prediction of biomolecular interactions with alphafold 3.Nature, 630(8016):493–500, 2024

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T05:19:22.508881Z

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Observation f9d503b3-6e8c-4337-9eac-0ff56632da8a · outbound

This paper cites Alphafold protein structure database: massively expanding the structural coverage of protein-sequence space with high-accuracy models.Nucleic acids research, 50(D1):D439–D444, 2022.

AlphaFold Database Debiasing for Robust Inverse Folding Alphafold protein structure database: massively expanding the structural coverage of protein-sequence space with high-accuracy models.Nucleic acids research, 50(D1):D439–D444, 2022

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T05:19:22.512400Z

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Observation ee4d7f93-8661-4dd5-9c14-e579ff60aaeb · outbound

This paper cites Alphafold protein structure database in 2024: providing structure coverage for over 214 million protein sequences.Nucleic acids research, 52(D1):D368–D375, 2024.

AlphaFold Database Debiasing for Robust Inverse Folding Alphafold protein structure database in 2024: providing structure coverage for over 214 million protein sequences.Nucleic acids research, 52(D1):D368–D375, 2024

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T05:19:22.515680Z

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Observation 1c6ccf15-ee31-4aa1-848a-341098035cc5 · outbound

This paper cites The case for post-predictional modifications in the alphafold protein structure database.Nature structural & molecular biology, 28(11):869–870, 2021.

AlphaFold Database Debiasing for Robust Inverse Folding The case for post-predictional modifications in the alphafold protein structure database.Nature structural & molecular biology, 28(11):869–870, 2021

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T05:19:22.519671Z

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Observation 47872b74-ae4b-488e-92cb-1fd1bbca96e4 · outbound

This paper cites Generative models for graph-based protein design.Advances in neural information processing systems, 32, 2019.

AlphaFold Database Debiasing for Robust Inverse Folding Generative models for graph-based protein design.Advances in neural information processing systems, 32, 2019

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T05:19:22.522805Z

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Observation 3a7bb0c5-7981-425c-a2c0-8bc08c49bcc2 · outbound

This paper cites Learning from protein structure with geometric vector perceptrons.

AlphaFold Database Debiasing for Robust Inverse Folding Learning from protein structure with geometric vector perceptrons

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T05:19:22.525992Z

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Observation a30e93ed-1f6b-483c-b52b-918cf701e393 · outbound

This paper cites Pifold: Toward effective and efficient protein inverse folding.

AlphaFold Database Debiasing for Robust Inverse Folding Pifold: Toward effective and efficient protein inverse folding

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T05:19:22.529287Z

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Observation b4ccfe08-fb05-426a-8f9e-00310de183dc · outbound

This paper cites Chai-1: Decoding the molecular interactions of life.bioRxiv, 2024.

AlphaFold Database Debiasing for Robust Inverse Folding Chai-1: Decoding the molecular interactions of life.bioRxiv, 2024

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:19:23.555912Z

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Observation 19921431-0123-4a6f-88c6-7fb58afee472 · outbound

This paper cites Boltz-1: Democratizing biomolecular interaction modeling.bioRxiv, 2024.

AlphaFold Database Debiasing for Robust Inverse Folding Boltz-1: Democratizing biomolecular interaction modeling.bioRxiv, 2024

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:19:23.546434Z

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Observation 10b8874c-6013-472e-b30f-68b6dc2ed539 · outbound

This paper cites Colabfold: making protein folding accessible to all.Nature methods, 2022.

AlphaFold Database Debiasing for Robust Inverse Folding Colabfold: making protein folding accessible to all.Nature methods, 2022

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:19:23.536936Z

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Observation 34884b4e-64f5-4be4-a168-70f51dd926a7 · outbound

This paper cites The protein data bank.Nucleic acids research, 28(1):235–242, 2000.

AlphaFold Database Debiasing for Robust Inverse Folding The protein data bank.Nucleic acids research, 28(1):235–242, 2000

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T05:19:22.542453Z

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Observation 0ef8315a-4bb8-4d66-9311-ef4a256d41c6 · outbound

This paper cites Highly accurate protein structure prediction for the human proteome.Nature, 596(7873):590–596, 2021.

AlphaFold Database Debiasing for Robust Inverse Folding Highly accurate protein structure prediction for the human proteome.Nature, 596(7873):590–596, 2021

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:19:23.523001Z

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Observation 8dcff36d-2314-40ac-a749-f32d9df683e8 · outbound

This paper cites Saprot: Protein language modeling with structure-aware vocabulary.

AlphaFold Database Debiasing for Robust Inverse Folding Saprot: Protein language modeling with structure-aware vocabulary

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T05:19:22.548695Z

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Observation 771e6c9c-c944-4c7d-9d82-34d55a3b68d6 · outbound

This paper cites Protrek: Navigating the protein universe through tri-modal contrastive learning.bioRxiv, pages 2024–05, 2024.

AlphaFold Database Debiasing for Robust Inverse Folding Protrek: Navigating the protein universe through tri-modal contrastive learning.bioRxiv, pages 2024–05, 2024

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T05:19:22.552033Z

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Observation a37767f6-dd33-42ee-8c18-ba708d810db7 · outbound

This paper cites Improved prediction of protein-protein interactions using alphafold2.Nature communications, 13(1):1265, 2022.

AlphaFold Database Debiasing for Robust Inverse Folding Improved prediction of protein-protein interactions using alphafold2.Nature communications, 13(1):1265, 2022

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:19:23.504910Z

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Observation 51bb02ab-fe8d-48c8-962d-cb6c5eecbf64 · outbound

This paper cites Cross-gate mlp with protein complex invariant embedding is a one-shot antibody designer.

AlphaFold Database Debiasing for Robust Inverse Folding Cross-gate mlp with protein complex invariant embedding is a one-shot antibody designer

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:19:23.494772Z

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Observation 34a669a7-6ba4-46f0-bcd3-32802cefb6f0 · outbound

This paper cites dyab: Flow matching for flexible antibody design with alphafold-driven pre-binding antigen.

AlphaFold Database Debiasing for Robust Inverse Folding dyab: Flow matching for flexible antibody design with alphafold-driven pre-binding antigen

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:19:23.485601Z

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Observation a318c0bc-d2b3-47c9-a5d3-fdb17b53b6d9 · outbound

This paper cites Foldtoken: Learning protein language via vector quantization and beyond.

AlphaFold Database Debiasing for Robust Inverse Folding Foldtoken: Learning protein language via vector quantization and beyond

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T05:19:22.565159Z

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Observation a7fcf449-e7fb-4193-9a40-a1806cc709a4 · outbound

This paper cites Alphafold meets flow matching for generating protein ensembles.

AlphaFold Database Debiasing for Robust Inverse Folding Alphafold meets flow matching for generating protein ensembles

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:19:23.471055Z

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Observation 4f41b485-b34d-4eac-b4fb-c8f974e204c5 · outbound

This paper cites Machine learning for functional protein design.Nature biotechnology, 42(2):216–228, 2024.

AlphaFold Database Debiasing for Robust Inverse Folding Machine learning for functional protein design.Nature biotechnology, 42(2):216–228, 2024

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T05:19:22.571671Z

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Observation 3686b312-4019-4535-a401-0fa0f4b14d39 · outbound

This paper cites Sparks of function by de novo protein design.

AlphaFold Database Debiasing for Robust Inverse Folding Sparks of function by de novo protein design

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T05:19:22.575045Z

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Observation 0a17929b-77b2-4887-86d7-7f7be926a472 · outbound

This paper cites A text-guided protein design framework.

AlphaFold Database Debiasing for Robust Inverse Folding A text-guided protein design framework

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:19:23.453086Z

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Observation 456b82a2-3ae7-49c8-99fa-ceb07358f27e · outbound

This paper cites Ribodiffusion: ter- tiary structure-based rna inverse folding with generative diffusion models.Bioinformatics, 40(Supplement_1):i347–i356, 2024.

AlphaFold Database Debiasing for Robust Inverse Folding Ribodiffusion: ter- tiary structure-based rna inverse folding with generative diffusion models.Bioinformatics, 40(Supplement_1):i347–i356, 2024

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:19:23.444858Z

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Observation 122188b1-c878-4302-8977-d17ed2749a4c · outbound

This paper cites Native protein sequences are close to optimal for their structures.Proceedings of the National Academy of Sciences, 97(19):10383–10388, 2000.

AlphaFold Database Debiasing for Robust Inverse Folding Native protein sequences are close to optimal for their structures.Proceedings of the National Academy of Sciences, 97(19):10383–10388, 2000

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:19:23.436216Z

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Observation 072c45a5-b889-42fb-9a37-af9fac77d8b5 · outbound

This paper cites De novo protein design by deep network hallucination.Nature, 600(7889):547–552, 2021.

AlphaFold Database Debiasing for Robust Inverse Folding De novo protein design by deep network hallucination.Nature, 600(7889):547–552, 2021

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:19:23.427722Z

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Observation 4fa20b8d-b056-4889-b358-999f0d5e0bbb · outbound

This paper cites Protein sequence design with a learned potential.Nature communi- cations, 13(1):746, 2022.

AlphaFold Database Debiasing for Robust Inverse Folding Protein sequence design with a learned potential.Nature communi- cations, 13(1):746, 2022

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:19:23.419735Z

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Observation 52a43eef-6b59-4b4b-a23f-a480e65e9403 · outbound

This paper cites Proteina: Scaling flow-based protein structure generative models.

AlphaFold Database Debiasing for Robust Inverse Folding Proteina: Scaling flow-based protein structure generative models

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:19:23.410842Z

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Observation d1aab0e8-9aea-4fbd-aba2-fb94a55c2e75 · outbound

This paper cites Protcomposer: Compositional protein structure generation with 3d ellipsoids.

AlphaFold Database Debiasing for Robust Inverse Folding Protcomposer: Compositional protein structure generation with 3d ellipsoids

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:19:23.402240Z

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Observation 07372d91-9c82-4521-b8e2-a25f5fa1fb7b · outbound

This paper cites De novo protein design: fully automated sequence selection.Science, 278(5335):82–87, 1997.

AlphaFold Database Debiasing for Robust Inverse Folding De novo protein design: fully automated sequence selection.Science, 278(5335):82–87, 1997

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:19:23.393274Z

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Observation 3704b734-5361-40ca-aecb-d7962adf8f5f · outbound

This paper cites Spherical convolutions and their application in molecular modelling.Advances in neural information processing systems, 30, 2017.

AlphaFold Database Debiasing for Robust Inverse Folding Spherical convolutions and their application in molecular modelling.Advances in neural information processing systems, 30, 2017

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:19:23.383824Z

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Observation 3b5024b4-9a6b-49ed-9bb4-ced307dd4e6d · outbound

This paper cites A survey on generative diffusion models.IEEE Transactions on Knowledge and Data Engineering, 2024.

AlphaFold Database Debiasing for Robust Inverse Folding A survey on generative diffusion models.IEEE Transactions on Knowledge and Data Engineering, 2024

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:19:23.374023Z

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Observation 33d6aeec-03a8-4163-836a-b5a4bc214c9b · outbound

This paper cites Fold2seq: A joint sequence (1d)-fold (3d) embedding-based generative model for protein design.

AlphaFold Database Debiasing for Robust Inverse Folding Fold2seq: A joint sequence (1d)-fold (3d) embedding-based generative model for protein design

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:19:23.363293Z

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Observation 43c52279-02ea-4d68-8685-abff16262519 · outbound

This paper cites an unresolved cited work.

AlphaFold Database Debiasing for Robust Inverse Folding Unresolved cited work

Reference 35

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:19:23.352879Z

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Observation f77f889d-8d23-4076-9065-4a0358ee4a0a · outbound

This paper cites Spin2: Predicting sequence profiles from protein structures using deep neural networks.Proteins: Structure, Function, and Bioinformatics, 86(6):629–633, 2018.

AlphaFold Database Debiasing for Robust Inverse Folding Spin2: Predicting sequence profiles from protein structures using deep neural networks.Proteins: Structure, Function, and Bioinformatics, 86(6):629–633, 2018

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:19:23.342723Z

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Observation 835e5b02-6e88-4d64-b058-8ef6ef1369d2 · outbound

This paper cites Computational protein design with deep learning neural networks.Scientific reports, 8(1):1–9, 2018.

AlphaFold Database Debiasing for Robust Inverse Folding Computational protein design with deep learning neural networks.Scientific reports, 8(1):1–9, 2018

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:19:23.332787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4f5df1e8-a349-4304-b576-4500ad7ff5f8 · outbound

This paper cites To improve protein sequence profile prediction through image captioning on pairwise residue distance map.Journal of chemical information and modeling, 60(1):391–399, 2019.

AlphaFold Database Debiasing for Robust Inverse Folding To improve protein sequence profile prediction through image captioning on pairwise residue distance map.Journal of chemical information and modeling, 60(1):391–399, 2019

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:19:23.322688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3b140a28-f9b0-4c0a-a47b-3102e54156bb · outbound

This paper cites Densecpd: improving the accuracy of neural-network-based computational protein sequence design with densenet.Journal of chemical information and modeling, 60(3):1245–1252, 2020.

AlphaFold Database Debiasing for Robust Inverse Folding Densecpd: improving the accuracy of neural-network-based computational protein sequence design with densenet.Journal of chemical information and modeling, 60(3):1245–1252, 2020

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:19:23.313248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 579a0873-55ee-4f10-a872-45b5a7874344 · outbound

This paper cites Prodconn: Protein design using a convolutional neural network.Proteins: Structure, Function, and Bioinformatics, 88(7):819–829, 2020.

AlphaFold Database Debiasing for Robust Inverse Folding Prodconn: Protein design using a convolutional neural network.Proteins: Structure, Function, and Bioinformatics, 88(7):819–829, 2020

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:19:23.303923Z

Source-reported events for the cited work

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Observation d3a27b66-c9b0-4895-8fb7-d0b26f3b0546 · outbound

This paper cites Densely connected convolutional networks.

AlphaFold Database Debiasing for Robust Inverse Folding Densely connected convolutional networks

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-07T05:19:22.640087Z

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Observation 6c7c5744-97f2-4337-bad0-06b47f738d99 · outbound

This paper cites Graph denoising diffusion for inverse protein folding.Advances in Neural Information Processing Systems, 36:10238– 10257, 2023.

AlphaFold Database Debiasing for Robust Inverse Folding Graph denoising diffusion for inverse protein folding.Advances in Neural Information Processing Systems, 36:10238– 10257, 2023

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:19:23.287587Z

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Observation 909fea82-5bfd-42d4-a80e-ffa5c76a77b2 · outbound

This paper cites Bridge-if: Learning inverse protein folding with markov bridges.

AlphaFold Database Debiasing for Robust Inverse Folding Bridge-if: Learning inverse protein folding with markov bridges

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:19:23.277423Z

Source-reported events for the cited work

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Observation cf9b07de-2c04-48e4-b286-ac592c22b276 · outbound

This paper cites A graph is worth k words: Euclideanizing graph using pure transformer.

AlphaFold Database Debiasing for Robust Inverse Folding A graph is worth k words: Euclideanizing graph using pure transformer

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:19:23.266616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4479ef32-43a8-4058-be9f-07bc86f7e366 · outbound

This paper cites Global-context aware generative protein design.

AlphaFold Database Debiasing for Robust Inverse Folding Global-context aware generative protein design

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:19:23.255450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b6d44b40-619a-4d8d-a246-71f0cea24cb6 · outbound

This paper cites Fast and flexible protein design using deep graph neural networks.Cell Systems, 11(4):402–411, 2020.

AlphaFold Database Debiasing for Robust Inverse Folding Fast and flexible protein design using deep graph neural networks.Cell Systems, 11(4):402–411, 2020

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:19:23.244946Z

Source-reported events for the cited work

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Observation d90ac799-41ce-44a0-b1f7-10492d425cfe · outbound

This paper cites AlphaDesign: A graph protein design method and benchmark on AlphaFoldDB.

AlphaFold Database Debiasing for Robust Inverse Folding AlphaDesign: A graph protein design method and benchmark on AlphaFoldDB

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-07T05:19:22.660459Z

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Observation bc10b24a-8841-476f-a82c-f94b8227924b · outbound

This paper cites Robust deep learning–based protein sequence design using proteinmpnn.Science, 378(6615):49–56, 2022.

AlphaFold Database Debiasing for Robust Inverse Folding Robust deep learning–based protein sequence design using proteinmpnn.Science, 378(6615):49–56, 2022

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-07T05:19:22.664370Z

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Observation 40c7dd4d-fb56-4a92-9fa8-822006a52bb2 · outbound

This paper cites Learning inverse folding from millions of predicted structures.

AlphaFold Database Debiasing for Robust Inverse Folding Learning inverse folding from millions of predicted structures

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-07T05:19:22.668266Z

Source-reported events for the cited work

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Observation b3d488cb-f8df-4561-94ce-e3416fe44f88 · outbound

This paper cites De novo protein design using geometric vector field networks.

AlphaFold Database Debiasing for Robust Inverse Folding De novo protein design using geometric vector field networks

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:19:23.223941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation bf25091a-225b-4673-9411-68871d0f2dc3 · outbound

This paper cites Boltzmann-aligned inverse folding model as a predictor of mutational effects on protein-protein interactions.

AlphaFold Database Debiasing for Robust Inverse Folding Boltzmann-aligned inverse folding model as a predictor of mutational effects on protein-protein interactions

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:19:23.213001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 89982693-ad46-47a7-997a-dcb059b6c258 · outbound

This paper cites Structure- informed language models are protein designers.

AlphaFold Database Debiasing for Robust Inverse Folding Structure- informed language models are protein designers

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-07T05:19:22.678325Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fdc5d8c9-7d8c-4c7d-9ea2-58b6e4a8dfc1 · outbound

This paper cites Kw-design: Pushing the limit of protein design via knowledge refinement.

AlphaFold Database Debiasing for Robust Inverse Folding Kw-design: Pushing the limit of protein design via knowledge refinement

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:19:23.195996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a160f1cc-d081-4050-b53d-fc1e3eac9843 · outbound

This paper cites Diffusion language models are versatile protein learners.

AlphaFold Database Debiasing for Robust Inverse Folding Diffusion language models are versatile protein learners

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:19:23.186726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ff06e750-427a-4e9a-9ca9-095c1836c892 · outbound

This paper cites Dplm-2: A multimodal diffusion protein language model.

AlphaFold Database Debiasing for Robust Inverse Folding Dplm-2: A multimodal diffusion protein language model

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:19:23.177747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6442e8eb-939e-4cd3-9e9b-84f3411edfd7 · outbound

This paper cites Surfpro: Functional protein design based on continuous surface.

AlphaFold Database Debiasing for Robust Inverse Folding Surfpro: Functional protein design based on continuous surface

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:19:23.168514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation cd74648a-f798-4fd4-bcdf-34e566c04217 · outbound

This paper cites Bc-design: A biochemistry-aware framework for highly accurate inverse protein folding.bioRxiv, pages 2024–10, 2024.

AlphaFold Database Debiasing for Robust Inverse Folding Bc-design: A biochemistry-aware framework for highly accurate inverse protein folding.bioRxiv, pages 2024–10, 2024

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:19:23.159055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 548080d7-bc79-4cd8-9bbe-494d4aa44888 · outbound

This paper cites Equibind: Geometric deep learning for drug binding structure prediction.

AlphaFold Database Debiasing for Robust Inverse Folding Equibind: Geometric deep learning for drug binding structure prediction

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:19:23.149363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ff93ce52-008b-4442-be9f-2cbac44edd9b · outbound

This paper cites Diff- dock: Diffusion steps, twists, and turns for molecular docking.

AlphaFold Database Debiasing for Robust Inverse Folding Diff- dock: Diffusion steps, twists, and turns for molecular docking

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:19:23.138626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 396557e6-af80-4c54-90de-7355e35f320f · outbound

This paper cites an unresolved cited work.

AlphaFold Database Debiasing for Robust Inverse Folding Unresolved cited work

Reference 60

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:19:23.127169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation df1d3f4a-f96a-426b-a3fe-e19f0e4ad0d1 · outbound

This paper cites Conditional antibody design as 3d equivariant graph translation.

AlphaFold Database Debiasing for Robust Inverse Folding Conditional antibody design as 3d equivariant graph translation

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:19:23.116040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 62dac6bb-2dd2-4bcc-957a-df4ce2c28cef · outbound

This paper cites End-to-end full-atom antibody design.

AlphaFold Database Debiasing for Robust Inverse Folding End-to-end full-atom antibody design

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:19:23.106327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0fe4a810-6b4a-4bba-88c5-e98f10fd0912 · outbound

This paper cites Deep- pocket: ligand binding site detection and segmentation using 3d convolutional neural networks.

AlphaFold Database Debiasing for Robust Inverse Folding Deep- pocket: ligand binding site detection and segmentation using 3d convolutional neural networks

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:19:23.097444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 48599698-3748-43b4-84cb-0adf36ae0728 · outbound

This paper cites Pre-training with fractional denoising to enhance molecular property prediction.

AlphaFold Database Debiasing for Robust Inverse Folding Pre-training with fractional denoising to enhance molecular property prediction

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:19:23.088051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ca34d095-b8df-49de-ab72-59b84f260a3b · outbound

This paper cites Spherical message passing for 3d molecular graphs.

AlphaFold Database Debiasing for Robust Inverse Folding Spherical message passing for 3d molecular graphs

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:19:23.077712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 173b53b3-e670-4f9a-b4af-aa60d31a83ee · outbound

This paper cites Protst: Multi-modality learning of protein sequences and biomedical texts.

AlphaFold Database Debiasing for Robust Inverse Folding Protst: Multi-modality learning of protein sequences and biomedical texts

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-07T05:19:22.726139Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fbd138ea-e704-4f4e-94ab-73570eabc78d · outbound

This paper cites Deepre: sequence-based enzyme ec number prediction by deep learning.Bioinformatics, 34(5):760–769, 2018.

AlphaFold Database Debiasing for Robust Inverse Folding Deepre: sequence-based enzyme ec number prediction by deep learning.Bioinformatics, 34(5):760–769, 2018

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:19:23.062841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 26b78ee5-ec0f-4306-a280-14e4404271ba · outbound

This paper cites Proteingym: Large- scale benchmarks for protein fitness prediction and design.Advances in Neural Information Processing Systems, 36:64331–64379, 2023.

AlphaFold Database Debiasing for Robust Inverse Folding Proteingym: Large- scale benchmarks for protein fitness prediction and design.Advances in Neural Information Processing Systems, 36:64331–64379, 2023

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:19:23.051579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation bf0d5c49-1ce9-46fe-a527-9d62f34c7a2d · outbound

This paper cites Reactzyme: A benchmark for enzyme-reaction prediction.Advances in Neural Information Processing Systems, 37:26415–26442, 2024.

AlphaFold Database Debiasing for Robust Inverse Folding Reactzyme: A benchmark for enzyme-reaction prediction.Advances in Neural Information Processing Systems, 37:26415–26442, 2024

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:19:23.042392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8c912596-4ef9-4bb4-9f3a-0fa2c4fa3963 · outbound

This paper cites Continuous-discrete convolu- tion for geometry-sequence modeling in proteins.

AlphaFold Database Debiasing for Robust Inverse Folding Continuous-discrete convolu- tion for geometry-sequence modeling in proteins

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:19:23.032141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 54f478de-10b5-47d1-bc2b-faf023cc165a · outbound

This paper cites Symmetry-informed geometric representation for molecules, proteins, and crystalline materials.Advances in neural information processing systems, 36:66084–66101, 2023.

AlphaFold Database Debiasing for Robust Inverse Folding Symmetry-informed geometric representation for molecules, proteins, and crystalline materials.Advances in neural information processing systems, 36:66084–66101, 2023

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:19:23.022967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a99be384-3608-4619-91d6-92f4a74eda0e · outbound

This paper cites Learning hierarchical protein representations via complete 3d graph networks.

AlphaFold Database Debiasing for Robust Inverse Folding Learning hierarchical protein representations via complete 3d graph networks

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:19:23.012531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 78c4d362-ee84-4bfd-9438-80b3178b89cb · outbound

This paper cites De novo design of protein interactions with learned surface fingerprints.Nature, 617(7959):176–184, 2023.

AlphaFold Database Debiasing for Robust Inverse Folding De novo design of protein interactions with learned surface fingerprints.Nature, 617(7959):176–184, 2023

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-07T05:19:22.751299Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 90ac2bd6-83e2-4fe3-8a02-c134aef2943c · outbound

This paper cites Kermut: Composite kernel regression for protein variant effects.Advances in Neural Information Processing Systems, 37:29514–29565, 2024.

AlphaFold Database Debiasing for Robust Inverse Folding Kermut: Composite kernel regression for protein variant effects.Advances in Neural Information Processing Systems, 37:29514–29565, 2024

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:19:22.997232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 48bdf3b7-6690-47b5-9185-90e02b33ec13 · outbound

This paper cites Relation-aware equivariant graph networks for epitope-unknown antibody design and specificity optimization.

AlphaFold Database Debiasing for Robust Inverse Folding Relation-aware equivariant graph networks for epitope-unknown antibody design and specificity optimization

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:19:22.987355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 806c9698-d4e6-444d-b023-3e40cc932b6b · outbound

This paper cites Metoken: Uniform micro-environment token boosts post- translational modification prediction.

AlphaFold Database Debiasing for Robust Inverse Folding Metoken: Uniform micro-environment token boosts post- translational modification prediction

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:19:22.976451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 824074a2-2843-404d-96f4-94673ef56a96 · outbound

This paper cites SAGEPhos: Sage bio-coupled and augmented fusion for phosphorylation site detection.

AlphaFold Database Debiasing for Robust Inverse Folding SAGEPhos: Sage bio-coupled and augmented fusion for phosphorylation site detection

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:19:22.966320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e56b66b6-d767-468e-bcaa-a5254244bcf3 · outbound

This paper cites Cath–a hierarchic classification of protein domain structures.Structure, 5(8):1093–1109, 1997.

AlphaFold Database Debiasing for Robust Inverse Folding Cath–a hierarchic classification of protein domain structures.Structure, 5(8):1093–1109, 1997

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:19:22.955096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d4b53acb-a455-4673-a16b-a9f34cf1369a · outbound

This paper cites Illumi- nating protein space with a programmable generative model.Nature, 623(7989):1070–1078, 2023.

AlphaFold Database Debiasing for Robust Inverse Folding Illumi- nating protein space with a programmable generative model.Nature, 623(7989):1070–1078, 2023

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:19:22.943997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation bd5fc426-755f-492d-a3ec-1764269a5ef2 · outbound

This paper cites Mmseqs2 enables sensitive protein sequence searching for the analysis of massive data sets.Nature biotechnology, 35(11):1026–1028, 2017.

AlphaFold Database Debiasing for Robust Inverse Folding Mmseqs2 enables sensitive protein sequence searching for the analysis of massive data sets.Nature biotechnology, 35(11):1026–1028, 2017

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-07T05:19:22.774381Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 25f5052c-104a-4ff5-b372-27e700bb9d0e · outbound

This paper cites Gpu- accelerated homology search with mmseqs2.bioRxiv, pages 2024–11, 2024.

AlphaFold Database Debiasing for Robust Inverse Folding Gpu- accelerated homology search with mmseqs2.bioRxiv, pages 2024–11, 2024

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:19:22.928967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f9ca2507-af84-4568-ba3e-29926ee781ec · outbound

This paper cites an unresolved cited work.

AlphaFold Database Debiasing for Robust Inverse Folding Unresolved cited work

Reference 82

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:19:22.920160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c3d65af2-5c54-4244-8c78-2a5a488c82da · outbound

This paper cites The curation process for this paired dataset involved several steps:.

AlphaFold Database Debiasing for Robust Inverse Folding The curation process for this paired dataset involved several steps:

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:19:22.909935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7eb0b98c-fefb-4220-ac9a-9becd9dcb547 · outbound

This paper cites an unresolved cited work.

AlphaFold Database Debiasing for Robust Inverse Folding Unresolved cited work

Reference 84

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:19:22.900082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 490cf0fd-ab59-4005-ad04-abc00e3335ee · outbound

This paper cites • The sequence lengths of the AFDB-predicted structure and the PDB experimental structure must be identical.

AlphaFold Database Debiasing for Robust Inverse Folding • The sequence lengths of the AFDB-predicted structure and the PDB experimental structure must be identical

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:19:22.888415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ffece9bc-4d0e-4cf7-8e90-2a0e82292cdf · outbound

This paper cites This curation process yielded a high-quality dataset of19,392 AFDB-PDB paired structures.

AlphaFold Database Debiasing for Robust Inverse Folding This curation process yielded a high-quality dataset of19,392 AFDB-PDB paired structures

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:19:22.878865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e9515810-6f77-4aef-ac32-95404da16a95 · outbound

This paper cites an unresolved cited work.

AlphaFold Database Debiasing for Robust Inverse Folding Unresolved cited work

Reference 87

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:19:22.868447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 164852ac-42d3-4c46-ba1a-7334d8866a0e · outbound

This paper cites an unresolved cited work.

AlphaFold Database Debiasing for Robust Inverse Folding Unresolved cited work

Reference 88

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:19:22.859281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3dc67ef4-1374-4ac8-92b5-3fffb67851a3 · outbound

This paper cites Debiased AFDB.

AlphaFold Database Debiasing for Robust Inverse Folding Debiased AFDB

Reference 89

Resolution: malformed identifier; raw_fallback, observed 2026-08-07T05:19:22.849412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Reference resolution

Outbound references

Pith citing papers