Integrating 3D structural information into systems biology - Journal of Biological Chemistry
Struct2Net
Scheme for all-to-all protein-protein interaction predictions. Using a... | Download Scientific Diagram
IJMS | Free Full-Text | Prediction of Protein–Protein Interactions by Evidence Combining Methods | HTML
Structure-based prediction of protein–protein interactions on a genome-wide scale | Nature
Predicting Protein-Protein Interactions from Matrix-Based Protein Sequence Using Convolution Neural Network and Feature-Selective Rotation Forest | Scientific Reports
Classification and prediction of protein–protein interaction interface using machine learning algorithm | Scientific Reports
Protein ^ protein interaction prediction. PPIs can be predicted based... | Download Scientific Diagram
Protein Protein Interaction Server: InterProSurf
Molecules | Free Full-Text | Machine Learning Approaches for Protein–Protein Interaction Hot Spot Prediction: Progress and Comparative Assessment | HTML
Protein interaction predictions | 東大農学部 生物情報工学研究室 | バイオインフォマティクス
In silico target prediction for protein-protein interaction (PPI) small molecule inhibitors using CGBVS - In Silico 創薬
BindML: Software for Predicting Protein-Protein Interaction Sites using Phylogenetic Substitution Models
DINIES
ProPrInt: Protein-protein Interaction Prediction Server
Frontiers | LZerD Protein-Protein Docking Webserver Enhanced With de novo Structure Prediction | Molecular Biosciences
vls3d.com - Protein-protein docking
Protein–protein interaction prediction - Wikipedia
Frontiers | In silico Approaches for the Design and Optimization of Interfering Peptides Against Protein–Protein Interactions | Molecular Biosciences
Robust and accurate prediction of protein–protein interactions by exploiting evolutionary information | Scientific Reports
SPServer: split-statistical potentials for the analysis of protein structures and protein–protein interactions | BMC Bioinformatics | Full Text
Review of multimer protein–protein interaction complex topology and structure prediction - IOPscience
Mizuguchi Laboratory
A deep-learning framework for multi-level peptide–protein interaction prediction | Nature Communications
Protein–protein interactions: scoring schemes and binding affinity - ScienceDirect
SFPEL-LPI: Sequence-based feature projection ensemble learning for predicting LncRNA-protein interactions