[HTML][HTML] Exploring the computational methods for protein-ligand binding site prediction
J Zhao, Y Cao, L Zhang - Computational and structural biotechnology …, 2020 - Elsevier
Proteins participate in various essential processes in vivo via interactions with other
molecules. Identifying the residues participating in these interactions not only provides …
molecules. Identifying the residues participating in these interactions not only provides …
[HTML][HTML] Protein–protein interaction prediction with deep learning: A comprehensive review
Most proteins perform their biological function by interacting with themselves or other
molecules. Thus, one may obtain biological insights into protein functions, disease …
molecules. Thus, one may obtain biological insights into protein functions, disease …
[HTML][HTML] P2Rank: machine learning based tool for rapid and accurate prediction of ligand binding sites from protein structure
Background Ligand binding site prediction from protein structure has many applications
related to elucidation of protein function and structure based drug discovery. It often …
related to elucidation of protein function and structure based drug discovery. It often …
Structure-based computational analysis of protein binding sites for function and druggability prediction
B Nisius, F Sha, H Gohlke - Journal of biotechnology, 2012 - Elsevier
Protein binding sites are the places where molecular interactions occur. Thus, the analysis
of protein binding sites is of crucial importance to understand the biological processes …
of protein binding sites is of crucial importance to understand the biological processes …
Artificial intelligence in the prediction of protein–ligand interactions: recent advances and future directions
New drug production, from target identification to marketing approval, takes over 12 years
and can cost around $2.6 billion. Furthermore, the COVID-19 pandemic has unveiled the …
and can cost around $2.6 billion. Furthermore, the COVID-19 pandemic has unveiled the …
[HTML][HTML] Predicting protein-ligand binding residues with deep convolutional neural networks
Y Cui, Q Dong, D Hong, X Wang - BMC bioinformatics, 2019 - Springer
Background Ligand-binding proteins play key roles in many biological processes.
Identification of protein-ligand binding residues is important in understanding the biological …
Identification of protein-ligand binding residues is important in understanding the biological …
Accurate prediction of inter-protein residue–residue contacts for homo-oligomeric protein complexes
Protein–protein interactions play a fundamental role in all cellular processes. Therefore,
determining the structure of protein–protein complexes is crucial to understand their …
determining the structure of protein–protein complexes is crucial to understand their …
Sequence-based prediction of protein–protein interaction sites with L1-logreg classifier
Protein–protein interactions are of central importance for virtually every process in a living
cell. Information about the interaction sites in proteins improves our understanding of …
cell. Information about the interaction sites in proteins improves our understanding of …
Structure-based prediction of protein–peptide binding regions using Random Forest
Motivation Protein–peptide interactions are one of the most important biological interactions
and play crucial role in many diseases including cancer. Therefore, knowledge of these …
and play crucial role in many diseases including cancer. Therefore, knowledge of these …
DeepDTAF: a deep learning method to predict protein–ligand binding affinity
Biomolecular recognition between ligand and protein plays an essential role in drug
discovery and development. However, it is extremely time and resource consuming to …
discovery and development. However, it is extremely time and resource consuming to …