Gajendra Raghava
@raghavagps
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Professor & Head Centre for Computational Biology, IIIT, Delhi
New Delhi, India
Joined April 2010
Our group has developed a new server, EIPpred, for predicting, designing, and virtually scanning peptide-based inhibitors against bacteria (E. coli). Web Server: Paper:
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We are happy to announce our web server HemoPI2 an updated version of HemoPI. It is an advanced computational tool designed for predicting the hemolytic activity of peptides and estimating their hemolytic concentration (HC50). Paper link:
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Prediction of Plant Resistance Proteins Using Alignment‐Based and Alignment‐Free Approaches - Gahlot - PROTEOMICS - Wiley Online Library
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"Explore World-Class Open-Source Bioinformatics Resources!" Access tools for drug discovery, vaccine informatics, and cancer research at Trusted by researchers worldwide with over 200,000 daily hits. Free for academic use!
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We are happy to announce second generation software IFNepitope2 for predicting interferon-gamma inducing peptides for mouse and human host. Our previous method IFNepitope is widely used and cited by scientific community.
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HLA-DR4Pred2: An improved method for predicting HLA-DRB1*04:01 binders
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Prediction of Anti‐Freezing Proteins From Their Evolutionary Profile - Kumar - PROTEOMICS - Wiley Online Library
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We are happy to announce new web server for predicting transcription factors
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We are happy to announce updated version of our popular web server ToxinPred, which is developed for predicting for predicting toxicity of peptides. This will be useful for researchers who's working on peptide-based drug discovery. Url:
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We are happy to announce our new publication, provides comprehensive information on resources on sub cellular localisation of lncRNA, detail is available from following url Paper: Web Site:
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We have updated database ThPDB, which is heavily used by scientific community for developing protein-based therapeutics. Updated version ThPDB2 published in Drug Discovery Today, it is available from and paper
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We are happy to announce a single cell genomics based method for predicting and classifying head and neck cancer. Web Server: Paper:
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Prediction of peptide hormones using an ensemble of machine learning and similarity‐based methods - Kaur - PROTEOMICS - Wiley Online Library
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We are happy to announce a web server for predicting peptide hormones from their sequence. Web server
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We are please to announce two days workshop at IIIT Delhi . Visit for detail and registration. Please share this post with interested candidates.
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AntiBP3: A Method for Predicting Antibacterial Peptides against Gram-Positive/Negative/Variable Bacteria #mdpiantibiotics via @antibioticsmdpi
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A method for predicting linear and conformational B-cell epitopes in a...
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MRSLpred -A hybrid approach for predicting multi-label subcellular localization of mRNA at genome scale
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