Author

Gandharva Nagpal

Institute of Microbial Technology

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 3

Signature Assays, Organisms & Methods

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Research Focus:protein structure prediction· 2 Research Focus:database / resource· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Assay:protein structure· 1 Approach:statistical model· 1

Frequent Co-Authors

Gajendra P. S. RaghavaiD· 3 shared Piyush AgrawaliD· 3 shared Deepti Sethi· 1 shared Kumardeep ChaudharyiD· 1 shared Rajesh KumariD· 1 shared Salman Sadullah UsmaniiD· 1 shared Sandeep SinghiD· 1 shared Vinod D. KumariD· 1 shared

Activity by Year

2017-2019 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 17 mutual co-author links

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3 shared papersBioinformatics

Gajendra P. S. RaghavaORCID

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Author profile →

3 papers

Recent·Most cited

HumCFS: A database of fragile sites in human chromosomes

Rajesh Kumar, Gandharva Nagpal, Vinod D. Kumar, Salman Sadullah Usmani, Piyush Agrawal, Gajendra P. S. Raghava

HumCFS is a manually curated database of human chromosomal fragile sites with annotated genes, miRNAs, and disease associations.

BMC Genomics · Apr 1, 2019Peer-reviewedBioinformatics

Computer-aided prediction of antigen presenting cell modulators for designing peptide-based vaccine adjuvants

Gandharva Nagpal, Kumardeep Chaudhary, Piyush Agrawal, Gajendra P. S. Raghava

The paper develops machine learning models to predict antigen presenting cell modulators (A-cell epitopes) and implements them in a web server for vaccine adjuvant design.

Journal of Translational Medicine · Jul 3, 2018Peer-reviewedBioinformatics

Prediction of residue-residue contacts in CASP12 targets from its predicted tertiary structures

Piyush Agrawal, Sandeep Singh, Gandharva Nagpal, Deepti Sethi, Gajendra P. S. Raghava

The paper describes a method for predicting residue-residue contacts in CASP12 targets using predicted tertiary structures, achieving high precision in specific categories.

bioRxiv · Sep 21, 2017 · PreprintBioinformatics