Webservers for Protein Structure Prediction

This page provides information on software developed at raghava group for protein structure prediction.

Name Description
ALPHApred Neural network based method for predicting alpha-turn in a protein
APSSP Advanced Protein Secondary Structure Prediction Server
APSSP2 Prediction of secondary structure of proteins from their amino acid sequence
Ar_NHpred Identification of aromatic-backbone NH interaction in protein residues
BetaTpred Statistical-based method for predicting Beta Turns in a protein
BetaTPred2 Statistical-based method for predicting Beta Turns in a protein
BetaTPred3 Prediction of beta turns and their types
Betaturns Prediction of beta turn types
BhairPred Prediction of beta hairpins in proteins using ANN and SVM techniques
ccPDB Compilation and Creation of datasets from PDB
fisipred Phi-Psi angle prediction using average angle prediction technique
PEPstr Prediction of structure of peptides
PEPstrMOD Structural prediction of peptides containing natural, non-natural and modified residues
Proclass Protein structure classification server
QASpro A webserver for the Quality Assesment of Protein Structure
SARpred A neural network based method predicts the real value of surface acessibility
STARPDB A webserver for annotating structure of a protein using simililarity based approach
TBBpred A webserver for the prediction of transmembrane Beta barrel regions in a given protein sequence
TSP-PRED A webservice for predicting Tertiary Structure of proteins

About Raghava

Professor Gajendra P.S. Raghava, Indraprasta Institute of Information Technology, New Delhi is a strong supporter of open source software and open access, all resources developed at his group are free for scientific use.