Author

Sajal Kumar Halder

Jahangirnagar UniversityORCID 0000-0001-7316-6210Unclaimed 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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Organism:bacteria (other)· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Approach:machine learning (classical)· 1 Assay:protein structure· 1 Research Focus:protein structure prediction· 1

Frequent Co-Authors

Fatiha Elma· 1 shared Fengbin WangiD· 1 shared Holly A. PeterseniD· 1 shared Hua ZhangiD· 1 shared Hui WuiD· 1 shared Jessie Lynda FieldsiD· 1 shared Mart KrupovìčiD· 1 shared Nathan F. BellisiD· 1 shared

Activity by Year

2021-2024 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 28 mutual co-author links

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1 shared paperBioinformatics

Fatiha Elma

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2 papers

Recent·Most cited

MicrobiologyNature CommunicationsPeer-reviewedNov 3, 2024

Structural diversity and clustering of bacterial flagellar outer domains

Jessie Lynda Fields, Hua Zhang, Nathan F. Bellis…·Fengbin Wang

The paper analyzes flagellar outer domains in bacterial species, revealing structural diversity and identifying new clusters of flagellin structures.

27 citationstop 3%

bacteria (other)protein structure

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BioinformaticsJournal of Clinical Tuberculosis and Other Mycobacterial DiseasesPeer-reviewedMay 25, 2021

In silico identification of novel chemical compounds with anti-TB potential for the inhibition of InhA and EthR from Mycobacterium tuberculosis

Sajal Kumar Halder, Fatiha Elma

This study identifies 50 drug-like compounds with anti-TB properties that inhibit InhA and EthR, with two compounds passing docking, metabolism, and pharmacokinetics filters.

33 citations

machine learning (classical)drug response / drug discovery

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