Article

EPEPDI: prediction of binding free energy changes from missense mutations in double and single-stranded DNA-binding proteins

2025-07-11

Abstract excerpt

Predicting changes in binding free energy due to missense mutations (MMs) in protein-DNA interactions (PDIs) is vital for understanding disease mechanisms and advancing therapeutic strategies. However, many existing models fail to account for the unique characteristics of MMs in double-stranded DNA binding proteins (DSBs) and single-stranded DNA binding proteins (SSBs). To address this, we constructed a comprehens...

Topics

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

Identifiers and source

Literature Corpus work: 10e067ea-b832-5526-9a4e-149b14734cd7
DOI: 10.1101/2025.07.08.663633

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

EPEPDI: prediction of binding free energy changes from missense mutations in double and single-stranded DNA-binding proteinsDOI 10.1101/2025.07.08.663633Read

ProBASS – a language model with sequence and structural features for predicting the effect of mutations on binding affinitySemantic proximity Read

DDMut-PPI: predicting effects of mutations on protein-protein interactions using graph-based deep learning.Semantic proximity Read

DeepPNI: a language- and graph-based model for mutation-driven protein-nucleic acid binding energetics.Semantic proximity Read

Macon: Enhance Protein Mutation Representation using Contrastive Learning with Effect Prediction on Protein–protein InteractionsSemantic proximity Read

Further Development of SAMPDI-3D: Machine Learning Method for Predicting Binding Free Energy Changes Caused by Mutations in Either Protein or DNASemantic proximity Read

ProSTAGE: Predicting Effects of Mutations on Protein Stability by Using Protein Embeddings and Graph Convolutional Networks.Semantic proximity Read

MuLAN: Mutation-driven Light Attention Networks for investigating protein-protein interactions from sequencesSemantic proximity Read

Sequence-aware Prediction of Point Mutation-induced Effects on Protein-Protein Binding Affinity using Deep LearningSemantic proximity Read

SAAMBE-3D: Predicting Effect of Mutations on Protein-Protein Interactions.Semantic proximity Read

eSIG-Net: Accurate prediction of single-mutation induced perturbations on protein interactions using a language modelSemantic proximity Read

ESM-Effect: An Effective and Efficient Fine-Tuning Framework towards accurate prediction of Mutation’s Functional EffectSemantic proximity Read

SAMPDI-3D: predicting the effects of protein and DNA mutations on protein-DNA interactions.Semantic proximity Read