Article

GraphESMStable: A Deep Learning Framework for Protein Stability Prediction Fusing Pre-trained Sequence Models and Graph Neural Networks

2026-01-09

Abstract excerpt

Predicting protein stability is fundamental, yet existing computational methods often face limitations in generalization, reliance on single data modalities, and challenges with complex multi-point mutations. To address these, we propose GraphESMStable, a novel deep learning framework for predicting protein mutation-induced thermal stability changes. GraphESMStable integrates rich evolutionary context from a froze...

Topics

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

Identifiers and source

Literature Corpus work: d1f64664-7190-5f39-ac8c-e29b0c625797
DOI: 10.64898/2026.01.08.698524

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

GraphESMStable: A Deep Learning Framework for Protein Stability Prediction Fusing Pre-trained Sequence Models and Graph Neural NetworksDOI 10.64898/2026.01.08.698524Read

Leveraging Unified Sequence-Structure Representations for Enhanced Protein Stability PredictionSemantic proximity Read

DDMut: predicting effects of mutations on protein stability using deep learning.Semantic proximity Read

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

JanusDDG: a physics-informed neural network for sequence-based protein stability via two-fronts attention.Semantic proximity Read

Robust Multi-Mutant Protein Stability Prediction from a Fine-Tuned Evolutionary Scale ModelSemantic proximity Read

Rapid protein stability prediction using deep learning representationsSemantic proximity Read

Stability Oracle: a structure-based graph-transformer framework for identifying stabilizing mutations.Semantic proximity Read

OmeDDG: Improved Protein Mutation Stability Prediction Based on Predicted 3D Structures.Semantic proximity Read

Improving the prediction of protein stability changes upon mutations by geometric learning and a pre-training strategy.Semantic proximity Read

DDGemb: predicting protein stability change upon single- and multi-point variations with embeddings and deep learningSemantic proximity Read

Protein multi-level structure feature-integrated deep learning method for mutational effect prediction.Semantic proximity Read

Transfer learning to leverage larger datasets for improved prediction of protein stability changesSemantic proximity Read