A. S. M. Zisanur Rahman

A machine learning model trained on a high-throughput antibacterial screen increases the hit rate of drug discovery

A. S. M. Zisanur Rahman, Chengyou Liu, Hunter Sturm et al. · PLoS Computational Biology · 2022 · 45 citations · Full text

Pharmacy, Computer Science, Medicinal Chemistry +17

A Broad-Host-Range CRISPRi Toolkit for Silencing Gene Expression in <i>Burkholderia</i>

Andrew M. Hogan, A. S. M. Zisanur Rahman, Tasia Joy Lightly et al. · ACS Synthetic Biology · 2019 · 44 citations · Full text

Life Sciences, Biotechnology, Genetics +17

Deep learning-driven prediction of drug mechanism of action from large-scale chemical-genetic interaction profiles

Chengyou Liu, Andrew M. Hogan, Hunter Sturm et al. · Journal of Cheminformatics · 2022 · 23 citations · Full text

Pharmacy, Bioinformatics, Medicinal Chemistry +17

Profiling cell envelope-antibiotic interactions reveals vulnerabilities to β-lactams in a multidrug-resistant bacterium

Andrew M. Hogan, A. S. M. Zisanur Rahman, Anna Motnenko et al. · Nature Communications · 2023 · 17 citations · Full text

Life Sciences, Genetics, Microbiology +17

Antioxidant-rich Tamarindus indica L. leaf extract reduced high-fat diet-induced obesity in rat through modulation of gene expression

Syed Abdul Kuddus, Mazharul Islam Bhuiyan, Nusrat Subhan et al. · Clinical Phytoscience · 2020 · 15 citations · Full text

Life Sciences, Botany, Plant Sciences +15