Mahbuba Tasmin

she/her

Ph.D. Candidate in Computer Science at UMass Amherst. My research integrates machine learning and computational biology to understand and predict antibiotic resistance in Mycobacterium tuberculosis.

The Structural Context of Mutations in Proteins Predicts Their Effect on Antibiotic Resistance

Published in eLife 14:RP109450 (2025), 2025

Publication: eLife 14:RP109450 (2025). DOI: https://doi.org/10.7554/eLife.109450.1
Summary: Leverages residue-level structural descriptors (solvent accessibility, hydrogen-bonding networks, and ligand proximity) to explain and predict resistance across Mycobacterium tuberculosis drug targets. Structural context improves both AUROC and attribution faithfulness over sequence-only models.

Recommended citation: Green Anna G, Tasmin Mahbuba, Vargas Roger, Farhat Maha R (2025) The structural context of mutations in proteins predicts their effect on antibiotic resistance eLife 14:RP109450
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