Author

Soaibur Rahman

East West UniversityORCID 0000-0001-5635-8042Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2 Microbiology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Research Focus:drug response / drug discovery· 2 Organism:Arabidopsis· 1 Assay:bulk RNA-seq· 1 Research Focus:host-pathogen & immune response· 1 Organism:human· 1 Assay:proteomics· 1

Frequent Co-Authors

Soharth HasnatiD· 3 shared Farzana YeasminiD· 2 shared M Murshida MahbubiD· 2 shared M. Nazmul HoqueiD· 2 shared Sal SabilaiD· 2 shared A. D. A. ShahinuzzamaniD· 1 shared ADA Shahinuzzaman· 1 shared Animesh Chowdhury· 1 shared

Activity by Year

2024-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 39 mutual co-author links

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3 shared papersBioinformatics

Soharth HasnatORCID

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3 papers

Recent·Most cited

MicrobiologybioRxivPreprintNov 20, 2025

Temporal transcriptomics and molecular dynamics identify a serine-type endopeptidase as a key regulator of dengue virus infection in Aedes aegypti

Samip Sapkota, Farzana Yeasmin, Soharth Hasnat…·M. Nazmul Hoque

DOI 10.1101/2025.11.20.689538

Arabidopsisbulk RNA-seq

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BioinformaticsbioRxivPreprintNov 18, 2024

High-Throughput Screening Reveals Potential Inhibitors Targeting Trimethoprim-Resistant DfrA1 Protein in Klebsiella pneumoniae and Escherichia coli

Soharth Hasnat, Soaibur Rahman, Meherun Binta Alam…·Tofazzal Islam

This study identifies six potential inhibitors of the DfrA1 protein through high-throughput screening of 3,601 compounds, with DC4 and DC6 showing superior efficacy compared to the control drug.

1 citation

humanstatistical model

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BioinformaticsbioRxivPreprintNov 7, 2024

In silico Identification of Novel Common Drug Targets Against Four Infectious Acinetobacter Species

Soaibur Rahman, Soharth Hasnat, M Murshida Mahbub…·Sal Sabila

This study identifies novel common drug targets against four Acinetobacter species using cluster-based subtractive genomics and druggability analysis.

2 citations

proteomicsstatistical model

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