Author

Shailendra Kumar Saxena

Central Drug Research InstituteORCID 0000-0003-2856-4185Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Microbiology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Approach:statistical model· 1

Frequent Co-Authors

Ahmed Sayed Abdel-MoneimiD· 1 shared Amit Kumar GuptaiD· 1 shared Arpita S. Harnam· 1 shared Janusz Tadeusz PaweskaiD· 1 shared Saurabh Kumar· 1 shared Swatantra Kumar· 1 shared

Activity by Year

2013-2026 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 10 mutual co-author links

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1 shared paperMicrobiology

Ahmed Sayed Abdel-MoneimORCID

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2 papers

Recent·Most cited

MicrobiologybioRxivPreprintMar 2, 2026

Adaptive Remodeling of the MPXV B21R Receptor-Binding Domain Enhances DC-SIGN Interaction and Identifies Conserved CTL Targets for T-Cell Vaccine Development

Swatantra Kumar, Arpita S. Harnam, Saurabh Kumar…·Shailendra Kumar Saxena

This study analyzes the global epidemiology of Mpox and identifies mutations in the B21R protein that enhance DC-SIGN interaction and suggest T-cell vaccine targets.

DOI 10.64898/2026.03.02.708970

deep learningdrug response / drug discovery

𝕏 PostBluesky

BioinformaticsSAR and QSAR in environmental researchPeer-reviewedNov 30, 2012

Triple layered QSAR Studies on Substituted 1,2,4-Trioxanes as potential antimalarial agents: Superiority of the Quantitative Pharmacophore-Based Alignment, Over Common Substructure based Alignment

Amit Kumar Gupta, Shailendra Kumar Saxena

This study compares pharmacophore-based and substructure-based alignment methods to identify structural requirements for antimalarial activity in substituted 1,2,4-trioxanes, finding pharmacophore-based alignment superior.

6 citations

statistical model

𝕏 PostBluesky