Author

Shashi Bhushan Pandit

Indian Institute of Science Education and Research MohaliORCID 0000-0002-1362-5136Unclaimed ORCID profile · follow to get notified of new preprints

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Bioinformatics· 3 Systems Biology· 1

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Approach:statistical model· 4 Research Focus:differential expression· 2 Organism:human· 2 Assay:protein sequence· 2 Research Focus:cell type annotation· 1 Assay:protein structure· 1 Research Focus:protein structure prediction· 1 Assay:proteomics· 1

Frequent Co-Authors

Paras VermaiD· 4 shared Deeksha ThakuriD· 3 shared Deepanshi AwasthiiD· 1 shared

Activity by Year

2024-2026 · peak 2/yr

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3 top collaborators · 2 mutual co-author links

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4 shared papersBioinformatics

Paras VermaORCID

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4 papers

Recent·Most cited

PEXMap: A proteogenomic method for exon and isoform level mapping of mass spectrometry derived peptides

Deepanshi Awasthi, Paras Verma, Shashi Bhushan Pandit

PEXMap maps MS/MS peptides to exons and isoforms, revealing tissue-specific and cancer proteome diversity through exon-resolved annotations.

bioRxiv · May 4, 2026 · PreprintSystems Biology

Deciphering binding site conformational variability of substrate promiscuous and specialist enzymes

Deeksha Thakur, Paras Verma, Shashi Bhushan Pandit

The paper investigates the role of active site conformational flexibility in substrate promiscuity by comparing promiscuous and specialist enzymes using molecular dynamics simulations and tICA.

Journal of Chemical Information and Modeling · Aug 14, 2025Peer-reviewedBioinformatics

Exon Nomenclature and Classification of Transcripts (ENACT): Systematic framework to annotate exon attributes

Paras Verma, Deeksha Thakur, Shashi Bhushan Pandit

The paper introduces a framework to systematically annotate exon attributes and analyze isoform diversity by integrating protein sequences and splice site variability.

bioRxiv · Jun 7, 2024 · PreprintBioinformatics

Uncovering the translatome impact of transcriptome induced diversity in eukaryotes: framework and innovative insights

Paras Verma, Deeksha Thakur, Shashi Bhushan Pandit

The paper presents a framework to analyze isoform diversity by integrating exonic loci and protein sequences, revealing splicing patterns in coding and non-coding regions across five organisms.

bioRxiv · Mar 8, 2024 · PreprintBioinformatics