Author

Kamal Dev

Shoolini UniversityORCID 0009-0005-8191-4502Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2 Genetics· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1 Organism:fungi (other)· 1

Frequent Co-Authors

Anuradha SourirajaniD· 2 shared Vikas KumariD· 2 shared Alaa Taha A. Mahdi· 1 shared Chirag N. PateliD· 1 shared David J. BaumleriD· 1 shared Deeksha Salaria· 1 shared İlknur YurtseveriD· 1 shared Nitin SharmaiD· 1 shared

Activity by Year

2020-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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2 shared papersBioinformatics

Anuradha SourirajanORCID

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3 papers

Recent·Most cited

GeneticsPLoS GeneticsPeer-reviewedMay 18, 2023

Comprehensive mutational analysis of the checkpoint signaling functions of Rpa1/Ssb1 in fission yeast

Yong-jie Xu, Sankhadip Bhadra, Alaa Taha A. Mahdi…·Toru Nakamura

The paper identifies Rpa1/Ssb1 mutants in fission yeast with partial checkpoint signaling defects, providing tools to study RPA's multiple functions.

3 citations

fungi (other)experimental assay

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BioinformaticsJournal of Biomolecular Structure and DynamicsPeer-reviewedNov 23, 2020

Molecular Docking studies of Phytocompounds of Rheum emodi Wall with proteins responsible for antibiotic resistance in bacterial and fungal pathogens: In silico approach to enhance the bio-availability of antibiotics

Rajan Rolta, Deeksha Salaria, Vikas Kumar…·Kamal Dev

This paper investigates the binding of phytocompounds from Rheum emodi to antibiotic resistance proteins and evaluates their drug-likeness and toxicity.

41 citations

statistical model

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BioinformaticsbioRxivPreprintJun 22, 2020

Docking studies in targeting proteins involved in cardiovascular disorders using phytocompounds from Terminalia arjuna

Vikas Kumar, Nitin Sharma, Anuradha Sourirajan…·Kamal Dev

The paper screens 19 phytochemicals from Terminalia arjuna for their binding affinity against cardiovascular proteins using molecular docking and evaluates their drug-likeness and toxicity.

4 citations

statistical modeldrug response / drug discovery

𝕏 PostBluesky