Deep learning methods for protein function prediction
Predicting protein function from protein sequence, structure, interaction, and other relevant
information is important for generating hypotheses for biological experiments and studying …
information is important for generating hypotheses for biological experiments and studying …
Simple, efficient, and scalable structure-aware adapter boosts protein language models
Fine-tuning pretrained protein language models (PLMs) has emerged as a prominent
strategy for enhancing downstream prediction tasks, often outperforming traditional …
strategy for enhancing downstream prediction tasks, often outperforming traditional …
MULAN: Multimodal Protein Language Model for Sequence and Structure Encoding
Most protein language models (PLMs), which are used to produce high-quality protein
representations, use only protein sequences during training. However, the known protein …
representations, use only protein sequences during training. However, the known protein …
Kinase-Inhibitor Binding Affinity Prediction with Pretrained Graph Encoder and Language Model
X Guo, Z Ran, F Li - bioRxiv, 2025 - biorxiv.org
Motivation: The accurate prediction of inhibitor-kinase binding affinity is crucial in drug
discovery and medical applications, especially in the treatment of diseases such as cancer …
discovery and medical applications, especially in the treatment of diseases such as cancer …