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Struct2Net PPI Prediction Server The Struct2Net server makes structure-based computational predictions of protein-protein interactions (PPIs) The input to Struct2Net is either one or two amino acid sequences in FASTA format
Protein-Protein Interaction Server Disclaimer: This service is provided freely to the scientific community for the purpose of scientific research There is no warranty for the service, either expressed or implied
ProteinPrompt: a webserver for predicting protein–protein interactions . . . Our tool is designed to quickly and reliably predict contact propensities based on an input sequence in order to scan large sequence libraries for potential binding partners, with the goal to accelerate and assure the quality of the laborious process of drug target identification
PRISM: a web server and repository for prediction of protein–protein . . . The PRISM web server enables fast and accurate prediction of protein–protein interactions (PPIs) The prediction algorithm is knowledge-based It combines structural similarity and accounts for evolutionary conservation in the template interfaces The predicted models are stored in its repository
PSOPIA - Prediction Server of Protein-Protein Interactions PSOPIA is an AODE for predicting protein-protein interactions using three seqeucne based features; (I) sequence similarities to a known interacting protein pair, (II) statistical propensities of domain pairs observed in interacting proteins and (III) a sum of edge weights along the shortest path between homologous proteins in a PPI network
InterPred: prediction and modelling of protein-protein interactions InterPred is a web server for the detection, prediction and modelling of protein-protein interactions Users can submit protein sequences or structures and the resulting protein complex will be predicted and returned
Protein-Protein Interaction Resources PIPS is a Web-based service for predicting physical protein-protein interactions in yeast, mouse, and human [Ref] This form allows you to research protein partners potentialy linked by an interaction relation The DIPTM database catalogs experimentally determined interactions between proteins
meta-PPISP: Meta Web Server for Protein Protein Interaction Site Prediction meta-PPISP is built on three individual web servers: cons-PPISP, PINUP, and Promate A linear regression method, using the raw scores of the three severs as input, was trained on a set of 35 nohomologous proteins Cross validation showed that meta-PPISP outperforms all the three individual servers