Paper Citation Record · LEDGER

ProtGO: A Transformer based Fusion Model for accurately predicting Gene Ontology (GO) Terms from full scale Protein Sequences

As of 14 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2412.05776.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2412.05776 v1

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T20:25:30.089599Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

41 of 41 outbound references displayed

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External citation measurements

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Outbound references

Observation cce248fd-a25c-4c2c-b226-a4d60ac80973 · outbound

This paper cites UniProt: a worldwide hub of protein knowledge.

ProtGO: A Transformer based Fusion Model for accurately predicting Gene Ontology (GO) Terms from full scale Protein Sequences UniProt: a worldwide hub of protein knowledge

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:25:31.026288Z

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Observation 34f2175e-bb7f-4767-ace8-30daed878f89 · outbound

This paper cites Basic local alignment search tool.

ProtGO: A Transformer based Fusion Model for accurately predicting Gene Ontology (GO) Terms from full scale Protein Sequences Basic local alignment search tool

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:25:31.005613Z

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Observation 33e61b18-6fb9-4a06-ac9a-ce96cf5354c3 · outbound

This paper cites Hidden markov models in computational biology.

ProtGO: A Transformer based Fusion Model for accurately predicting Gene Ontology (GO) Terms from full scale Protein Sequences Hidden markov models in computational biology

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:25:30.983926Z

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Observation 477f1ef8-aab6-4bdf-9699-862dd691fe6d · outbound

This paper cites Profile hidden Markov models.

ProtGO: A Transformer based Fusion Model for accurately predicting Gene Ontology (GO) Terms from full scale Protein Sequences Profile hidden Markov models

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:25:30.964301Z

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Observation a86cf75e-1b00-4de6-8cab-4a0cf1e0fa15 · outbound

This paper cites The InterPro protein families and domains database: 20 years on.

ProtGO: A Transformer based Fusion Model for accurately predicting Gene Ontology (GO) Terms from full scale Protein Sequences The InterPro protein families and domains database: 20 years on

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:25:30.944395Z

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Observation 424f36d9-55d0-419b-95de-4eb81514e0e0 · outbound

This paper cites The Pfam protein families database in 2019.

ProtGO: A Transformer based Fusion Model for accurately predicting Gene Ontology (GO) Terms from full scale Protein Sequences The Pfam protein families database in 2019

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:25:30.927302Z

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Observation 22628a0c-ea13-48ab-afab-c2aae6d80680 · outbound

This paper cites Khoshgoftaar, and DingDing Wang.

ProtGO: A Transformer based Fusion Model for accurately predicting Gene Ontology (GO) Terms from full scale Protein Sequences Khoshgoftaar, and DingDing Wang

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:25:30.910973Z

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Observation 227247a3-0768-4639-aace-58f2a7306909 · outbound

This paper cites DeepGO: predicting protein functions from sequence and interactions using a deep ontology-aware classifier.

ProtGO: A Transformer based Fusion Model for accurately predicting Gene Ontology (GO) Terms from full scale Protein Sequences DeepGO: predicting protein functions from sequence and interactions using a deep ontology-aware classifier

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:25:30.893533Z

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Observation b6401b8f-d934-474e-997b-a954b0ed3c61 · outbound

This paper cites Ecpred: a tool for the prediction of the enzymatic functions of protein sequences based on the ec nomenclature.

ProtGO: A Transformer based Fusion Model for accurately predicting Gene Ontology (GO) Terms from full scale Protein Sequences Ecpred: a tool for the prediction of the enzymatic functions of protein sequences based on the ec nomenclature

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:25:30.876022Z

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Observation 5ef95674-4793-4dc3-adef-13d4966bf2af · outbound

This paper cites ProLanGO: Protein function prediction using neural machine translation based on a recurrent neural network.

ProtGO: A Transformer based Fusion Model for accurately predicting Gene Ontology (GO) Terms from full scale Protein Sequences ProLanGO: Protein function prediction using neural machine translation based on a recurrent neural network

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:25:30.859104Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation bd3e7ae8-f10d-404a-a4d1-6dc4c0a13d6e · outbound

This paper cites DeepLoc: prediction of protein subcellular localization using deep learning.

ProtGO: A Transformer based Fusion Model for accurately predicting Gene Ontology (GO) Terms from full scale Protein Sequences DeepLoc: prediction of protein subcellular localization using deep learning

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:25:30.836702Z

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Observation 8403bfda-3615-4af9-8cf9-7ea096392f38 · outbound

This paper cites Deep semantic protein representation for annotation, discovery, and engineering.

ProtGO: A Transformer based Fusion Model for accurately predicting Gene Ontology (GO) Terms from full scale Protein Sequences Deep semantic protein representation for annotation, discovery, and engineering

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:25:30.816991Z

Source-reported events for the cited work

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Observation a7199c18-009a-482b-86e4-02525b1d2857 · outbound

This paper cites Deepred: Automated protein function prediction with multi-task feed-forward deep neural networks.

ProtGO: A Transformer based Fusion Model for accurately predicting Gene Ontology (GO) Terms from full scale Protein Sequences Deepred: Automated protein function prediction with multi-task feed-forward deep neural networks

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:25:30.797142Z

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Observation 23ec5f0c-541b-439a-a6e6-c66269f5ac07 · outbound

This paper cites DEEPre: sequence-based enzyme EC number prediction by deep learning.

ProtGO: A Transformer based Fusion Model for accurately predicting Gene Ontology (GO) Terms from full scale Protein Sequences DEEPre: sequence-based enzyme EC number prediction by deep learning

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:25:30.775540Z

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Observation 9084893a-a833-4549-b229-a351a32a5632 · outbound

This paper cites DeepSF: deep convolutional neural network for mapping protein sequences to folds.

ProtGO: A Transformer based Fusion Model for accurately predicting Gene Ontology (GO) Terms from full scale Protein Sequences DeepSF: deep convolutional neural network for mapping protein sequences to folds

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:25:30.751546Z

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Observation ab80ad71-ef85-42e5-85db-14fd1303ee65 · outbound

This paper cites HECNet: a hierarchical approach to enzyme function classification using a Siamese Triplet Network.

ProtGO: A Transformer based Fusion Model for accurately predicting Gene Ontology (GO) Terms from full scale Protein Sequences HECNet: a hierarchical approach to enzyme function classification using a Siamese Triplet Network

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:25:30.732167Z

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Observation 2fad572a-11b3-4375-b313-c7c484fa39e6 · outbound

This paper cites A hierarchical deep learning based approach for multi-functional enzyme classification.

ProtGO: A Transformer based Fusion Model for accurately predicting Gene Ontology (GO) Terms from full scale Protein Sequences A hierarchical deep learning based approach for multi-functional enzyme classification

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:25:30.700004Z

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Observation c722455f-d190-4663-ace0-715f74803d78 · outbound

This paper cites Natália D.

ProtGO: A Transformer based Fusion Model for accurately predicting Gene Ontology (GO) Terms from full scale Protein Sequences Natália D

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:25:30.672448Z

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Observation b64bf35c-f2c9-429f-9bbd-7524120f94f8 · outbound

This paper cites mldeepre: Multi-functional enzyme function prediction with hierarchical multi-label deep learning.

ProtGO: A Transformer based Fusion Model for accurately predicting Gene Ontology (GO) Terms from full scale Protein Sequences mldeepre: Multi-functional enzyme function prediction with hierarchical multi-label deep learning

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:25:30.651947Z

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Observation e9522881-02a4-4d01-b3c8-14d8856de509 · outbound

This paper cites End-to-end differentiable learning of protein structure.

ProtGO: A Transformer based Fusion Model for accurately predicting Gene Ontology (GO) Terms from full scale Protein Sequences End-to-end differentiable learning of protein structure

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:25:30.633031Z

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Observation 53692fee-6008-4a40-b815-f3094d171f78 · outbound

This paper cites Senior, Richard Evans, John Jumper, James Kirkpatrick, Laurent Sifre, Tim Green, Chongli Qin, Augustin Žídek, Alexander W.

ProtGO: A Transformer based Fusion Model for accurately predicting Gene Ontology (GO) Terms from full scale Protein Sequences Senior, Richard Evans, John Jumper, James Kirkpatrick, Laurent Sifre, Tim Green, Chongli Qin, Augustin Žídek, Alexander W

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:25:30.608976Z

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Observation aaf15775-ecf4-44db-b4d3-a294af1fe894 · outbound

This paper cites Msa transformer.

ProtGO: A Transformer based Fusion Model for accurately predicting Gene Ontology (GO) Terms from full scale Protein Sequences Msa transformer

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:25:30.578558Z

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Observation adf95251-e046-4b47-add7-be93f3320ad6 · outbound

This paper cites Energy-based models for atomic-resolution protein conformations.

ProtGO: A Transformer based Fusion Model for accurately predicting Gene Ontology (GO) Terms from full scale Protein Sequences Energy-based models for atomic-resolution protein conformations

Reference 23

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Observation 1f9d35b3-cdf4-4e1c-9bb9-444180c91283 · outbound

This paper cites Improved protein structure prediction using predicted interresidue orientations.

ProtGO: A Transformer based Fusion Model for accurately predicting Gene Ontology (GO) Terms from full scale Protein Sequences Improved protein structure prediction using predicted interresidue orientations

Reference 24

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Observation 8cdefc71-6a31-4209-8c0e-7d1dc5fd2430 · outbound

This paper cites Alley, Kevin M.

ProtGO: A Transformer based Fusion Model for accurately predicting Gene Ontology (GO) Terms from full scale Protein Sequences Alley, Kevin M

Reference 25

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Observation 55883336-34f7-40e4-83be-141b2cf77c12 · outbound

This paper cites Eguchi, Po-Ssu Huang, and Richard Socher.

ProtGO: A Transformer based Fusion Model for accurately predicting Gene Ontology (GO) Terms from full scale Protein Sequences Eguchi, Po-Ssu Huang, and Richard Socher

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:25:30.511468Z

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Observation ed0d517a-b041-4f53-aaed-c2ccb21bbb18 · outbound

This paper cites Pellock, Tamuka M.

ProtGO: A Transformer based Fusion Model for accurately predicting Gene Ontology (GO) Terms from full scale Protein Sequences Pellock, Tamuka M

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:25:30.491248Z

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Observation 53e707f5-437a-43e9-b644-a12d6181276c · outbound

This paper cites Yang, Zachary Wu, and Frances H.

ProtGO: A Transformer based Fusion Model for accurately predicting Gene Ontology (GO) Terms from full scale Protein Sequences Yang, Zachary Wu, and Frances H

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:25:30.461905Z

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Observation 5a27a5c2-a0d6-4f29-a4ad-8fe0d934af77 · outbound

This paper cites Machine learning in enzyme engineering.

ProtGO: A Transformer based Fusion Model for accurately predicting Gene Ontology (GO) Terms from full scale Protein Sequences Machine learning in enzyme engineering

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:25:30.437654Z

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Observation 09443e9b-85d6-447f-80de-836c5b9cd061 · outbound

This paper cites Deep learning enables high-quality and high-throughput prediction of enzyme commission numbers.

ProtGO: A Transformer based Fusion Model for accurately predicting Gene Ontology (GO) Terms from full scale Protein Sequences Deep learning enables high-quality and high-throughput prediction of enzyme commission numbers

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:25:30.417050Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 649000c0-b59e-4a66-ac6e-5a8ea6a8fbd2 · outbound

This paper cites Bileschi, David Belanger, Drew H.

ProtGO: A Transformer based Fusion Model for accurately predicting Gene Ontology (GO) Terms from full scale Protein Sequences Bileschi, David Belanger, Drew H

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:25:30.397726Z

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Observation 0cc56d59-5f6a-4f61-9740-038c437ac07d · outbound

This paper cites Bileschi, David Belanger, and Lucy Colwell.

ProtGO: A Transformer based Fusion Model for accurately predicting Gene Ontology (GO) Terms from full scale Protein Sequences Bileschi, David Belanger, and Lucy Colwell

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:25:30.379762Z

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Observation 124068e3-d4af-432d-9693-0ac79635dd3f · outbound

This paper cites ProtTrans: Toward understanding the language of life through self-supervised learning.

ProtGO: A Transformer based Fusion Model for accurately predicting Gene Ontology (GO) Terms from full scale Protein Sequences ProtTrans: Toward understanding the language of life through self-supervised learning

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:25:30.346052Z

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Observation 3d4f4fcf-7c64-4dad-9a29-f0f1d602965c · outbound

This paper cites ProteinBERT: a universal deep- learning model of protein sequence and function.

ProtGO: A Transformer based Fusion Model for accurately predicting Gene Ontology (GO) Terms from full scale Protein Sequences ProteinBERT: a universal deep- learning model of protein sequence and function

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:25:30.326316Z

Source-reported events for the cited work

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Observation 7427a44b-bd08-4b18-abb8-cc63e0beb658 · outbound

This paper cites Bileschi, David Belanger, and Lucy J.

ProtGO: A Transformer based Fusion Model for accurately predicting Gene Ontology (GO) Terms from full scale Protein Sequences Bileschi, David Belanger, and Lucy J

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:25:30.306757Z

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Observation 3b1e9cc7-36dd-4164-a83d-99b45415c1de · outbound

This paper cites Protec: A transformer based deep learning system for accurate annotation of enzyme commission numbers.

ProtGO: A Transformer based Fusion Model for accurately predicting Gene Ontology (GO) Terms from full scale Protein Sequences Protec: A transformer based deep learning system for accurate annotation of enzyme commission numbers

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:25:30.286245Z

Source-reported events for the cited work

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Observation 22a13f91-5d12-4f3f-b33c-7e6f7aba1b71 · outbound

This paper cites UniRef clusters: a comprehensive and scalable alternative for improving sequence similarity searches.

ProtGO: A Transformer based Fusion Model for accurately predicting Gene Ontology (GO) Terms from full scale Protein Sequences UniRef clusters: a comprehensive and scalable alternative for improving sequence similarity searches

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:25:30.267057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 8bf1e1c7-0a26-4871-a1eb-fda16c623456 · outbound

This paper cites HuggingFace's Transformers: State-of-the-art Natural Language Processing.

ProtGO: A Transformer based Fusion Model for accurately predicting Gene Ontology (GO) Terms from full scale Protein Sequences HuggingFace's Transformers: State-of-the-art Natural Language Processing

Reference 38

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Observation f08d268c-ae59-4721-b0d5-5c1a11ba7e5b · outbound

This paper cites Pretrained Transformers as Universal Computation Engines.

ProtGO: A Transformer based Fusion Model for accurately predicting Gene Ontology (GO) Terms from full scale Protein Sequences Pretrained Transformers as Universal Computation Engines

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-11T20:25:30.076090Z

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Observation 730f59a4-b706-4a1e-9b9e-0c9457ccb3f9 · outbound

This paper cites Ampdeep: hemolytic activity prediction of antimicrobial peptides using transfer learning.

ProtGO: A Transformer based Fusion Model for accurately predicting Gene Ontology (GO) Terms from full scale Protein Sequences Ampdeep: hemolytic activity prediction of antimicrobial peptides using transfer learning

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:25:30.246885Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9c71ec0c-0f9f-41bb-ae92-45cb4ed8a43e · outbound

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ProtGO: A Transformer based Fusion Model for accurately predicting Gene Ontology (GO) Terms from full scale Protein Sequences Unresolved cited work

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-11T20:25:30.019447Z

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Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.