Article

A Comprehensive Atlas and Machine-Learning Framework for Predicting IDR-Protein Binding Affinity

2026-02-23

Abstract excerpt

Intrinsically disordered regions (IDRs) enable pervasive, regulatable protein interactions, yet predicting their binding affinities remains challenging because disorder permits heterogeneous interfaces and context-dependent recognition. Here we introduce IBPC- K d , a curated dataset of 1,785 IDR-ordered protein complexes with experimentally measured dissociation constants ( K d ), spanning more than six order...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 40345adb-867b-51fe-b441-32e21f71582a
DOI: 10.64898/2026.02.21.707165

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

A Comprehensive Atlas and Machine-Learning Framework for Predicting IDR-Protein Binding AffinityDOI 10.64898/2026.02.21.707165Read

Integrating structural homology with deep learning to achieve highly accurate protein-protein interface prediction for the human interactomeSemantic proximity Read

Hierarchical Deep Learning Framework Integrating Structural Interaction Potentials and Evolutionary Information for Protein-Protein Interaction Affinity PredictionSemantic proximity Read

Towards a structurally resolved human protein interaction networkSemantic proximity Read

Graph attention with structural features improves the generalizability of identifying functional sequences at a protein interfaceSemantic proximity Read

USP-ddG: a unified structural paradigm with data efficacy and mixture-of-experts for predicting mutational effects on protein-protein interactions.Semantic proximity Read

Deep Local Analysis deconstructs protein-protein interfaces and accurately estimates binding affinity changes upon mutation.Semantic proximity Read

The Human Bindome: A Proteome-scale Atlas of Designed Binder CandidatesSemantic proximity Read

Mechanism-Aware Protein-Protein Interaction Prediction via Contact-Guided Dual Attention on Protein Language ModelsSemantic proximity Read

Quantitative fragmentomics allow affinity mapping of interactomesSemantic proximity Read

ProAffinity-GNN: A Novel Approach to Structure-based Protein-Protein Binding Affinity Prediction via a Curated Dataset and Graph Neural NetworksSemantic proximity Read

A structurally informed human protein-protein interactome reveals proteome-wide perturbations caused by disease mutations.Semantic proximity Read

Towards a structurally resolved human protein interaction networkSemantic proximity Read