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manoj Bhasin

Research Profile

Activities & Behaviors

Concepts & Ideas

Procedures

Protein Sequence Analysis

Occupations

Chemicals & Drugs

Genes & Molecular Sequences

Phenomena

Protein Binding

Co-author Network

Co-Publications
Name
19
Gajendra PS Raghava
3
Sneh Lata

Publications

TOP 3
Sneh Lata; manoj Bhasin; Gajendra PS Raghava
MHCBN 4.0: A database of MHC/TAP binding peptides and T-cell epitopes.
manoj Bhasin; Sneh Lata; Gajendra PS Raghava
TAPPred prediction of TAP-binding peptides in antigens.
Sneh Lata; manoj Bhasin; Gajendra PS Raghava
Application of machine learning techniques in predicting MHC binders.

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All Publications

2009: Sneh Lata; manoj Bhasin; Gajendra PS Raghava
MHCBN 4.0: A database of MHC/TAP binding peptides and T-cell epitopes.
BMC research notes 2009;2():61.
2007: manoj Bhasin; Sneh Lata; Gajendra PS Raghava
TAPPred prediction of TAP-binding peptides in antigens.
Methods in molecular biology (Clifton, N.J.) 2007;409():381-6.
2007: Sneh Lata; manoj Bhasin; Gajendra PS Raghava
Application of machine learning techniques in predicting MHC binders.
Methods in molecular biology (Clifton, N.J.) 2007;409():201-15.
2007: manoj Bhasin; Sneh Lata; Gajendra PS Raghava
Searching and mapping of T-cell epitopes, MHC binders, and TAP binders.
Methods in molecular biology (Clifton, N.J.) 2007;409():95-112.
2007: manoj Bhasin; Gajendra PS Raghava
A hybrid approach for predicting promiscuous MHC class I restricted T cell epitopes.
Journal of biosciences 2007;32(1):31-42.
2005: manoj Bhasin; Gajendra PS Raghava
Pcleavage: an SVM based method for prediction of constitutive proteasome and immunoproteasome cleavage sites in antigenic sequences.
Nucleic acids research 2005;33(Web Server issue):W202-7.
2005: Manish Kumar; manoj Bhasin; Navjot K Natt; Gajendra PS Raghava
BhairPred: prediction of beta-hairpins in a protein from multiple alignment information using ANN and SVM techniques.
Nucleic acids research 2005;33(Web Server issue):W154-9.
2005: manoj Bhasin; Gajendra PS Raghava
GPCRsclass: a web tool for the classification of amine type of G-protein-coupled receptors.
Nucleic acids research 2005;33(Web Server issue):W143-7.
2005: manoj Bhasin; Aarti Garg; Gajendra PS Raghava
PSLpred: prediction of subcellular localization of bacterial proteins.
Bioinformatics (Oxford, England) 2005;21(10):2522-4.
2005: Aarti Garg; manoj Bhasin; Gajendra PS Raghava
Support vector machine-based method for subcellular localization of human proteins using amino acid compositions, their order, and similarity search.
The Journal of biological chemistry 2005;280(15):14427-32.
2005: Sudipto Saha; manoj Bhasin; Gajendra PS Raghava
Bcipep: a database of B-cell epitopes.
BMC genomics 2005;6():79.
2004: manoj Bhasin; Gajendra PS Raghava
Prediction of CTL epitopes using QM, SVM and ANN techniques.
Vaccine 2004;22(23-24):3195-204.
2004: manoj Bhasin; Gajendra PS Raghava
ESLpred: SVM-based method for subcellular localization of eukaryotic proteins using dipeptide composition and PSI-BLAST.
Nucleic acids research 2004;32(Web Server issue):W414-9.
2004: manoj Bhasin; Gajendra PS Raghava
GPCRpred: an SVM-based method for prediction of families and subfamilies of G-protein coupled receptors.
Nucleic acids research 2004;32(Web Server issue):W383-9.
2004: manoj Bhasin; Gajendra PS Raghava
Classification of nuclear receptors based on amino acid composition and dipeptide composition.
The Journal of biological chemistry 2004;279(22):23262-6.
2004: manoj Bhasin; Gajendra PS Raghava
Analysis and prediction of affinity of TAP binding peptides using cascade SVM.
Protein science : a publication of the Protein Society 2004;13(3):596-607.
2004: manoj Bhasin; Gajendra PS Raghava
SVM based method for predicting HLA-DRB1*0401 binding peptides in an antigen sequence.
Bioinformatics (Oxford, England) 2004;20(3):421-3.
2003: manoj Bhasin; Gajendra PS Raghava
Prediction of promiscuous and high-affinity mutated MHC binders.
Hybridoma and hybridomics 2003;22(4):229-34.
2003: manoj Bhasin; Harpreet Singh; Gajendra PS Raghava
MHCBN: a comprehensive database of MHC binding and non-binding peptides.
Bioinformatics (Oxford, England) 2003;19(5):665-6.