Article

LoMuS: Low-Rank Adaptation with Multimodal Representations Improves Protein Stability Prediction

2025-12-18

Abstract excerpt

Protein folding stability is a key determinant for understanding protein dynamics, including molecular function, pathogenicity, and/or protein engineering. Yet, accurate prediction of protein stability changes remains a challenging problem due to the high-variability in the available data, especially from sequence-only information when structural knowledge is of low-resolution or unavailable. In this work, we intr...

Topics

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

Identifiers and source

Literature Corpus work: 760b0cb4-fb40-5565-947f-8ce55a7b341a
DOI: 10.64898/2025.12.15.694540

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

LoMuS: Low-Rank Adaptation with Multimodal Representations Improves Protein Stability PredictionDOI 10.64898/2025.12.15.694540Read

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

Protein Fitness Prediction is Impacted by the Interplay of Language Models, Ensemble Learning, and Sampling MethodsSemantic proximity Read

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

How Much Does Protein Structure Really Help? A Case Study in Mutation-Induced Stability PredictionSemantic proximity Read

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

Protein language models trained on biophysical dynamics inform mutation effects.Semantic proximity Read

Rapid protein stability prediction using deep learning representationsSemantic proximity Read

An ensemble learning framework for protein stability prediction with enhanced recognition of stabilizing mutations.Semantic proximity Read

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

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