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Gajendra P.S. Raghava's Projects

algpred2 icon algpred2

A machine learning based method for predicting, scanning and mapping allergenic regions in an allergen

alzscpred icon alzscpred

Identification of Biomarkers of Alzheimer's from Single cell genome

antibp3 icon antibp3

An improved method for predicting of antibacterial peptides using machine learning yechniques

anticp2 icon anticp2

AntiCP2 is an updated version of AntiCP developed for predicting, designing and scanning anticancer peptides.

cancer_review icon cancer_review

This site provides complete information on a review written on cancer resoureces

clbtope icon clbtope

An ensemble method for predicting linear and conformational B-cell epitope

csrankings icon csrankings

A web app for ranking computer science departments according to their research output in selective venues, and for finding active faculty across a wide range of areas.

exopropred icon exopropred

An ensemble method for predicting proteins secreted via exosomes

fluspred icon fluspred

Prediction infectious strains of Influenza A virus for human

hladr4pred2 icon hladr4pred2

An improved method for predicting binders of HLA-DRB1-04:01

hlancpred icon hlancpred

A method for predicting promiscuous non-classical HLA binding sites in an antigen

hnscpred icon hnscpred

A computational approach tool to predict Head and Neck Cancer affected patients from their single cell RNA seq data.

ifnepitope2 icon ifnepitope2

Prediction of interferon-gamma inducing peptides using alignment-based and alignment-free methods

il13pred icon il13pred

A method for predicting cytokine IL-13 inducing peptides

il5pred icon il5pred

Machine learning based method for predicting and scanning IL-5 inducing petides

il6pred icon il6pred

In silico model for predicting of Interleukin-6 inducing peptides

mrslpred icon mrslpred

In silico method for predicting subcellular localisation of mRNA sequences

mutation_bench icon mutation_bench

Benchmarking of mutation calling techniques by developing classification and regresion prediction models to predict the high-risk cancer patients.

nagbinder icon nagbinder

A method for predicting NAG interacting residues in a protein from its primary sequence

pfeature icon pfeature

A software package for computing features of peptides and proteins

phagetb icon phagetb

A multi-level prediction of interaction between bacteriophages and pathogenic bacterial hosts

pprint2 icon pprint2

An improved method for predicting RNA-interacting residues in a protein

raghavagps.github.io icon raghavagps.github.io

Home Page of Prof G P S Raghava, group work in the field of bioinformatics, chemoinformatics and pharmacoinformatics. Mainly developed databases and prediction methods using machine learning techniques

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