Summary: The protein-protein interaction data available today in databases were either determined by experimental methods or predicted by computational methods. Biologists studying a certain mechanism or function are usually interested in a small-scale network of protein-protein interactions related to the...
Proteins are the essential biological macromolecules required to perform nearly all biological processes, and cellular functions. Proteins rarely carry out their tasks in isolation but interact with other proteins (known as protein–protein interaction)
Contains code for the paper "MaTPIP: a deep-learning architecture with eXplainable AI for sequence-driven, feature mixed protein-protein interaction prediction" explainable-ai protein-language-model deep-learning-architecture protein-protein-interaction-prediction protein-sequence-features Updated Jan 25, ...
protein–protein interaction predictionprotein interaction prediction based on multidomain pairsExperimental Protein–Protein InteractionsPrediction of Protein–Protein InteractionsProtein Interaction Prediction Based on Multidomain PairsDomain Interaction Prediction Methods Summary...
iLoops: a protein–protein interaction prediction server based on structural features Protein-protein interactions play a critical role in many biological processes. Despite that, the number of servers that provide an easy and comprehensive ... PI Joan,Marin-Lopez Manuel A.,B Jaume,... - 《Bioi...
Deep-learning-enabled protein–protein interaction analysis for prediction of SARS-CoV-2 infectivity and variant evolutionGuangyu Wang, Xiaohong Liu, Kai Wang, Yuanxu Gao, Gen Li, Daniel T. Baptista-Hon, Xiaohong Helena Yang, Kanmin Xue, Wa Hou Tai, Zeyu Jiang, Linling Cheng,...
and proteins and identify the binding residues along the peptides involved in the interactions. In addition, CAMP outperformed other state-of-the-art methods on binary peptide-protein interaction prediction. CAMP can serve as a useful tool in peptide-protein interaction prediction and identification ...
Improving prediction performance of general protein language model by domain-adaptive pretraining on DNA-binding protein Wenwu Zeng Yutao Dou Shaoliang Peng Nature Communications(2024) Importance of Inter-residue Contacts for Understanding Protein Folding and Unfolding Rates, Remote Homology, and Drug Desi...
We test this strategy on three important classes of drug targets, namely enzymes, G-protein-coupled receptors (GPCR) and ion channels, and report dramatic improvements in prediction accuracy over classical ligand-based virtual screening, in particular for targets with few or no known ligands. ...
The rapid growth of protein-protein interaction (PPI) data has led to the emergence of PPI network analysis. Despite advances in high-throughput techniques, the interactomes of several model organisms are still far from complete. Therefore, it is desirab