Fused Bayesian Flow Networks for Dual-Target Molecular Design | Paper Citation Record

Observation 816cdd33-e42a-4587-83f0-514c7e7a7d1a · outbound

This paper cites Protein modeling and structure-based drug design,.

Fused Bayesian Flow Networks for Dual-Target Molecular Design Protein modeling and structure-based drug design,

Reference 1

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Observation fd1d9292-6efc-451c-8ff3-4e3c5057d861 · outbound

This paper cites Geometric deep learning methods and applications in 3d structure-based drug design,.

Fused Bayesian Flow Networks for Dual-Target Molecular Design Geometric deep learning methods and applications in 3d structure-based drug design,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:20:04.053107Z

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Observation 4c38ae7f-fd66-4257-b27d-d913f1875311 · outbound

This paper cites From magic bullets to designed multiple ligands,.

Fused Bayesian Flow Networks for Dual-Target Molecular Design From magic bullets to designed multiple ligands,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:20:04.037881Z

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Observation 247d98b5-0039-41f6-999d-5255960867f2 · outbound

This paper cites Multitarget drug discovery and polypharmacology,.

Fused Bayesian Flow Networks for Dual-Target Molecular Design Multitarget drug discovery and polypharmacology,

Reference 4

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Observation 64245cbd-4149-4935-8b3c-b5a414cad261 · outbound

This paper cites Computational polypharmacology: a new paradigm for drug discovery,.

Fused Bayesian Flow Networks for Dual-Target Molecular Design Computational polypharmacology: a new paradigm for drug discovery,

Reference 5

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Observation 5af5829e-411d-4589-b810-d5479245e793 · outbound

This paper cites De novo generation of multi-target compounds using deep generative chemistry,.

Fused Bayesian Flow Networks for Dual-Target Molecular Design De novo generation of multi-target compounds using deep generative chemistry,

Reference 6

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Observation a42c9361-af79-4e51-bbdf-3f2cc840395d · outbound

This paper cites Architecture of the human regulatory network derived from encode data,.

Fused Bayesian Flow Networks for Dual-Target Molecular Design Architecture of the human regulatory network derived from encode data,

Reference 7

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Observation 08621652-191b-4a58-9bc4-332ce8368d9d · outbound

This paper cites Ligbuilder v3: a multi-target de novo drug design approach,.

Fused Bayesian Flow Networks for Dual-Target Molecular Design Ligbuilder v3: a multi-target de novo drug design approach,

Reference 8

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Observation a91752a2-7092-4021-bf54-40075c9be19f · outbound

This paper cites Polypharmacology in a single drug: multitarget drugs,.

Fused Bayesian Flow Networks for Dual-Target Molecular Design Polypharmacology in a single drug: multitarget drugs,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:20:03.942224Z

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Observation 52736077-78c2-4a70-8726-d083e2e3dfaa · outbound

This paper cites A perspec- tive on multi-target drug discovery and design for complex diseases,.

Fused Bayesian Flow Networks for Dual-Target Molecular Design A perspec- tive on multi-target drug discovery and design for complex diseases,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:20:03.926659Z

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Observation dbc999bf-9f8d-4b1a-876d-c5b79c701a2c · outbound

This paper cites Combination therapeutics in complex diseases,.

Fused Bayesian Flow Networks for Dual-Target Molecular Design Combination therapeutics in complex diseases,

Reference 11

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Observation fd413c40-c264-4dea-abbb-44299b4b4433 · outbound

This paper cites Generation of dual-target compounds using a transformer chemical language model,.

Fused Bayesian Flow Networks for Dual-Target Molecular Design Generation of dual-target compounds using a transformer chemical language model,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:20:03.896804Z

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Observation c29c6050-e56f-41a4-a8ba-5ae3f3dc9bbc · outbound

This paper cites Therapeutic strategies of dual-target small molecules to overcome drug resistance in cancer therapy,.

Fused Bayesian Flow Networks for Dual-Target Molecular Design Therapeutic strategies of dual-target small molecules to overcome drug resistance in cancer therapy,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:20:03.880203Z

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Observation 5e124517-778c-4c9d-8680-be231da5e681 · outbound

This paper cites Beyond purinergic signaling: Dual ligand approaches to multitarget drug discovery,.

Fused Bayesian Flow Networks for Dual-Target Molecular Design Beyond purinergic signaling: Dual ligand approaches to multitarget drug discovery,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:20:03.863865Z

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Observation 9a62dc43-4e7d-438a-a89b-d76fa6ba1a86 · outbound

This paper cites A 3d generative model for structure-based drug design,.

Fused Bayesian Flow Networks for Dual-Target Molecular Design A 3d generative model for structure-based drug design,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:20:03.847548Z

Source-reported events for the cited work

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Observation 8fa5a716-dfc6-47bd-a958-e1227a1d3b8d · outbound

This paper cites Pocket2mol: Efficient molecular sampling based on 3d protein pockets,.

Fused Bayesian Flow Networks for Dual-Target Molecular Design Pocket2mol: Efficient molecular sampling based on 3d protein pockets,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:20:03.830364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1b9b018b-cae5-4c40-9351-59c5b3599f53 · outbound

This paper cites 3D Equivariant Diffusion for Target-Aware Molecule Generation and Affinity Prediction.

Fused Bayesian Flow Networks for Dual-Target Molecular Design 3D Equivariant Diffusion for Target-Aware Molecule Generation and Affinity Prediction

Reference 17

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Observation 2bcf4dbe-7ce7-4481-982e-ea982df7cffc · outbound

This paper cites DecompDiff: Diffusion Models with Decomposed Priors for Structure-Based Drug Design.

Fused Bayesian Flow Networks for Dual-Target Molecular Design DecompDiff: Diffusion Models with Decomposed Priors for Structure-Based Drug Design

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-15T15:20:02.624110Z

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Observation ce84c2db-e8e0-4f77-932c-5fc130db2f87 · outbound

This paper cites Kgdiff: towards explainable target-aware molecule generation with knowledge guidance,.

Fused Bayesian Flow Networks for Dual-Target Molecular Design Kgdiff: towards explainable target-aware molecule generation with knowledge guidance,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:20:03.813903Z

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Observation 8b50db31-3d98-4cf0-8d92-62c67dd5c4d7 · outbound

This paper cites Aligning target-aware molecule diffusion models with exact energy optimization,.

Fused Bayesian Flow Networks for Dual-Target Molecular Design Aligning target-aware molecule diffusion models with exact energy optimization,

Reference 20

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Observation 68cf8bd9-6842-4b49-b77b-35591a67b91c · outbound

This paper cites Protein-ligand interaction prior for binding-aware 3d molecule diffusion models,.

Fused Bayesian Flow Networks for Dual-Target Molecular Design Protein-ligand interaction prior for binding-aware 3d molecule diffusion models,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:20:03.779688Z

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Observation 112c04a0-e752-4bca-b13e-9ab5bb989c70 · outbound

This paper cites MolCRAFT: Structure-Based Drug Design in Continuous Parameter Space.

Fused Bayesian Flow Networks for Dual-Target Molecular Design MolCRAFT: Structure-Based Drug Design in Continuous Parameter Space

Reference 22

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Observation d106fd5f-1735-448d-8bf8-1488f14ad812 · outbound

This paper cites Multi-objective structure-based drug design using causal discovery,.

Fused Bayesian Flow Networks for Dual-Target Molecular Design Multi-objective structure-based drug design using causal discovery,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:20:03.762792Z

Source-reported events for the cited work

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Observation 5d511713-057e-40f6-8d7e-cf9d8ff5a534 · outbound

This paper cites Prior-guided flow matching for target-aware molecule design with learnable atom number,.

Fused Bayesian Flow Networks for Dual-Target Molecular Design Prior-guided flow matching for target-aware molecule design with learnable atom number,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-15T15:20:02.652810Z

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Observation 88586f60-00c9-4321-af66-8bc4bac34c97 · outbound

This paper cites Automated design of multi-target ligands by generative deep learning,.

Fused Bayesian Flow Networks for Dual-Target Molecular Design Automated design of multi-target ligands by generative deep learning,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:20:03.746100Z

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Observation 9d497569-a670-4129-b350-e8594ed0ca55 · outbound

This paper cites Reprogramming pretrained target-specific diffusion models for dual-target drug design,.

Fused Bayesian Flow Networks for Dual-Target Molecular Design Reprogramming pretrained target-specific diffusion models for dual-target drug design,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:20:03.730246Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 9e2fde6e-5ba6-41b8-88e2-5dc8ada298f3 · outbound

This paper cites Bayesian Flow Networks.

Fused Bayesian Flow Networks for Dual-Target Molecular Design Bayesian Flow Networks

Reference 27

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Observation 4d4f5313-22fb-49f4-9db0-a9682c8a52e5 · outbound

This paper cites Training products of experts by minimizing contrastive divergence,.

Fused Bayesian Flow Networks for Dual-Target Molecular Design Training products of experts by minimizing contrastive divergence,

Reference 28

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Observation 50a7805b-2ce8-4ca5-902b-45079c28e59c · outbound

This paper cites Generating 3d molecules conditional on receptor binding sites with deep generative models,.

Fused Bayesian Flow Networks for Dual-Target Molecular Design Generating 3d molecules conditional on receptor binding sites with deep generative models,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:20:03.703767Z

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Observation ae4b57c6-20e6-4559-b3ac-243e7e76ed26 · outbound

This paper cites Generating 3d molecules for target protein binding,.

Fused Bayesian Flow Networks for Dual-Target Molecular Design Generating 3d molecules for target protein binding,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:20:03.689145Z

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Observation 58cf833e-c323-417d-b11f-b80cf442353d · outbound

This paper cites Molecule generation for target protein binding with structural motifs,.

Fused Bayesian Flow Networks for Dual-Target Molecular Design Molecule generation for target protein binding with structural motifs,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:20:03.674993Z

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Observation a1284859-3fb9-44d1-a3d6-6b2332040138 · outbound

This paper cites Learning subpocket prototypes for generalizable structure-based drug design,.

Fused Bayesian Flow Networks for Dual-Target Molecular Design Learning subpocket prototypes for generalizable structure-based drug design,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:20:03.660083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b8649bda-2e4f-4172-bf32-5ba207ecef45 · outbound

This paper cites Flexsbdd: Structure-based drug design with flexible protein modeling,.

Fused Bayesian Flow Networks for Dual-Target Molecular Design Flexsbdd: Structure-based drug design with flexible protein modeling,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:20:03.644289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6eb103ee-ce42-4578-9887-e8a17fd7972c · outbound

This paper cites Empower structure-based molecule optimization with gradient guided bayesian flow networks,.

Fused Bayesian Flow Networks for Dual-Target Molecular Design Empower structure-based molecule optimization with gradient guided bayesian flow networks,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:20:03.628861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2fd909bd-145d-4b19-b43d-c9e44a04a946 · outbound

This paper cites Structure-aware dual-target drug design through collaborative learning of pharmacophore combination and molecular simulation,.

Fused Bayesian Flow Networks for Dual-Target Molecular Design Structure-aware dual-target drug design through collaborative learning of pharmacophore combination and molecular simulation,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:20:03.613847Z

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Observation c85c0494-4465-4c45-a838-582dc7282e69 · outbound

This paper cites Unified generative modeling of 3d molecules with bayesian flow networks,.

Fused Bayesian Flow Networks for Dual-Target Molecular Design Unified generative modeling of 3d molecules with bayesian flow networks,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:20:03.598444Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 7ddc6535-6d33-4fbb-b51c-42a3cb36851f · outbound

This paper cites Image-to-image bayesian flow networks with structurally informative priors,.

Fused Bayesian Flow Networks for Dual-Target Molecular Design Image-to-image bayesian flow networks with structurally informative priors,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:20:03.582661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 72aefe12-77eb-4a19-8d91-737fbdbb3a90 · outbound

This paper cites Target-guided bayesian flow networks for quantitatively constrained cad generation,.

Fused Bayesian Flow Networks for Dual-Target Molecular Design Target-guided bayesian flow networks for quantitatively constrained cad generation,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:20:03.567763Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e097dafc-2f45-47df-866d-623a5bdc4a5c · outbound

This paper cites Knowledge guided bayesian flow network for cad sequence generation.

Fused Bayesian Flow Networks for Dual-Target Molecular Design Knowledge guided bayesian flow network for cad sequence generation

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:20:03.551976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4aa820f1-11cc-40ea-a130-c30cdc1c7177 · outbound

This paper cites Controllable molecule generation by sampling in continuous parameter space.

Fused Bayesian Flow Networks for Dual-Target Molecular Design Controllable molecule generation by sampling in continuous parameter space

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:20:03.536701Z

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Observation 1e8aa3c1-1150-44b7-a3c3-9d0fc98abdc2 · outbound

This paper cites Protein sequence modelling with bayesian flow networks,.

Fused Bayesian Flow Networks for Dual-Target Molecular Design Protein sequence modelling with bayesian flow networks,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:20:03.520483Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2fdedc7c-2b52-4690-812f-58ea97d1fc30 · outbound

This paper cites Empower Structure-Based Molecule Optimization with Gradient Guided Bayesian Flow Networks.

Fused Bayesian Flow Networks for Dual-Target Molecular Design Empower Structure-Based Molecule Optimization with Gradient Guided Bayesian Flow Networks

Reference 42

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Observation d15aaf09-9ac0-472a-837f-716039e9a947 · outbound

This paper cites Full-atom peptide design via riemannian-euclidean bayesian flow networks,.

Fused Bayesian Flow Networks for Dual-Target Molecular Design Full-atom peptide design via riemannian-euclidean bayesian flow networks,

Reference 43

Resolution: verified exact; raw_fallback, observed 2026-08-15T15:20:03.164994Z

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Observation 59930de0-c989-45b2-90c1-9c0d4686b559 · outbound

This paper cites Multimodal Variational Autoencoders for Semi-Supervised Learning: In Defense of Product-of-Experts.

Fused Bayesian Flow Networks for Dual-Target Molecular Design Multimodal Variational Autoencoders for Semi-Supervised Learning: In Defense of Product-of-Experts

Reference 44

Resolution: verified exact; local_arxiv, observed 2026-08-15T15:20:03.002492Z

Source-reported events for the cited work

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Observation d56cc36d-1086-42cf-b919-c1e15e0050ad · outbound

This paper cites Multimodal conditional image synthesis with product-of-experts gans,.

Fused Bayesian Flow Networks for Dual-Target Molecular Design Multimodal conditional image synthesis with product-of-experts gans,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:20:03.502580Z

Source-reported events for the cited work

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Observation ec31342d-a445-4dcb-a73c-0c1c8389b8bf · outbound

This paper cites Equivariant diffusion for molecule generation in 3d,.

Fused Bayesian Flow Networks for Dual-Target Molecular Design Equivariant diffusion for molecule generation in 3d,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:20:03.485267Z

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Observation 1758d4d7-01a5-4f0a-a497-6a2afc0f7d07 · outbound

This paper cites Equivariant flows: exact likelihood generative learning for symmetric densities,.

Fused Bayesian Flow Networks for Dual-Target Molecular Design Equivariant flows: exact likelihood generative learning for symmetric densities,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:20:03.470012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation fba4336f-ebf6-4a0a-a3be-1bcbe68c4261 · outbound

This paper cites E (n) equivariant normalizing flows,.

Fused Bayesian Flow Networks for Dual-Target Molecular Design E (n) equivariant normalizing flows,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:20:03.454897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c89c6b3a-d36c-4a2b-85e2-80ef72bd7117 · outbound

This paper cites GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation.

Fused Bayesian Flow Networks for Dual-Target Molecular Design GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-15T15:20:02.774183Z

Source-reported events for the cited work

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Observation e370cdd2-af50-42fa-ba5d-e09c14832bcc · outbound

This paper cites Identification of cavities on protein sur- face using multiple computational approaches for drug binding site prediction,.

Fused Bayesian Flow Networks for Dual-Target Molecular Design Identification of cavities on protein sur- face using multiple computational approaches for drug binding site prediction,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:20:03.440241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d9bb9e5e-1900-4e87-abc4-a85e094f2550 · outbound

This paper cites P2rank: machine learning based tool for rapid and accurate prediction of ligand binding sites from protein structure,.

Fused Bayesian Flow Networks for Dual-Target Molecular Design P2rank: machine learning based tool for rapid and accurate prediction of ligand binding sites from protein structure,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:20:03.424400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 03df53f0-62fb-4fab-bfda-7ea1ed811163 · outbound

This paper cites Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography,.

Fused Bayesian Flow Networks for Dual-Target Molecular Design Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography,

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-15T15:20:02.906408Z

Source-reported events for the cited work

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Observation e7fddf78-d829-49d0-acf6-c94cccfe55eb · outbound

This paper cites Method for registration of 3-d shapes,.

Fused Bayesian Flow Networks for Dual-Target Molecular Design Method for registration of 3-d shapes,

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-15T15:20:02.911516Z

Source-reported events for the cited work

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Observation 0bb73f53-affc-4b88-bcc7-4bb95dc310ec · outbound

This paper cites Posecheck: Generative models for 3d structure-based drug design produce unrealistic poses,.

Fused Bayesian Flow Networks for Dual-Target Molecular Design Posecheck: Generative models for 3d structure-based drug design produce unrealistic poses,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:20:03.389382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 8b278530-3e26-4b4a-a52a-32164eb7f09e · outbound

This paper cites Autodock vina: improving the speed and accuracy of docking with a new scoring function, efficient optimization, and multithreading,.

Fused Bayesian Flow Networks for Dual-Target Molecular Design Autodock vina: improving the speed and accuracy of docking with a new scoring function, efficient optimization, and multithreading,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:20:03.374600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a954b047-690d-4f4f-84d4-afe5d17105e8 · outbound

This paper cites Quantifying the chemical beauty of drugs,.

Fused Bayesian Flow Networks for Dual-Target Molecular Design Quantifying the chemical beauty of drugs,

Reference 56

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d2246ee4-af6b-4518-8bdb-90aa25e9fef3 · outbound

This paper cites Estimation of synthetic accessibility score of drug-like molecules based on molecular complexity and fragment contributions,.

Fused Bayesian Flow Networks for Dual-Target Molecular Design Estimation of synthetic accessibility score of drug-like molecules based on molecular complexity and fragment contributions,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:20:03.349850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 3f98075f-9079-4a94-8e64-82c48eee2557 · outbound

This paper cites Avg.”, “T-Avg.

Fused Bayesian Flow Networks for Dual-Target Molecular Design Avg.”, “T-Avg

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:20:03.335348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Reference resolution

Outbound references

Pith citing papers