Author

Tejashree Rajaram Kanitkar

Indian Institute of Science Education and Research Pune

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· 2

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:drug response / drug discovery· 1 Assay:protein sequence· 1 Assay:protein structure· 1 Research Focus:variant effect prediction· 1 Organism:virus· 1

Frequent Co-Authors

Mallur Srivatsan MadhusudhaniD· 2 shared Ankit RoyiD· 1 shared Chee Keong KwohiD· 1 shared Gulzar Singh· 1 shared Kaustubh AmritkariD· 1 shared Kuan Pern TaniD· 1 shared Neeladri SeniD· 1 shared Neelesh SoniiD· 1 shared

Activity by Year

2019-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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2 shared papersBioinformatics

Mallur Srivatsan MadhusudhanORCID

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2 papers

Recent·Most cited

Packpred: Predicting the functional effect of missense mutations

Kuan Pern Tan, Tejashree Rajaram Kanitkar, Chee Keong Kwoh, Mallur Srivatsan Madhusudhan

Packpred predicts the functional effect of missense mutations using a statistical potential and substitution matrix, outperforming existing methods on multiple datasets.

Frontiers in Molecular Biosciences · Aug 20, 2021Peer-reviewedBioinformatics

Predicting and Designing therapeutics against the Nipah virus

Neeladri Sen, Tejashree Rajaram Kanitkar, Ankit Roy, Neelesh Soni, Kaustubh Amritkar, Shreyas Supekar, Sanjana Anilkumar Nair, Gulzar Singh, Mallur Srivatsan Madhusudhan

This paper predicts and designs therapeutics against Nipah virus by modeling its proteins, identifying peptide and small molecule inhibitors, and analyzing viral strain sequences for drug resistance.

PLoS neglected tropical diseases · Dec 12, 2019Peer-reviewedBioinformatics