Author

Khushal Sharma

Indraprastha Institute of Information Technology Delhi

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· 1

Signature Assays, Organisms & Methods

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Approach:machine learning (classical)· 1 Assay:protein sequence· 1 Research Focus:variant effect prediction· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Anjali DhalliD· 1 shared Gajendra P. S. RaghavaiD· 1 shared Sumeet PatiyaliD· 1 shared Trinita RoyiD· 1 shared

Activity by Year

2022-2022 · peak 1/yr

Co-Author Collaboration Network

4 top collaborators · 6 mutual co-author links

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1 shared paperBioinformatics

Anjali DhallORCID

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1 paper

Recent·Most cited

In-silico method for predicting infectious strains of Influenza A virus from its genome and protein sequences

Trinita Roy, Khushal Sharma, Anjali Dhall, Sumeet Patiyal, Gajendra P. S. Raghava

This paper develops in-silico models to predict infectious Influenza A virus strains from genome and protein sequences, achieving high AUC scores and providing a web tool for pandemic preparedness.

Journal of General Virology · Nov 1, 2022Peer-reviewedBioinformatics