Computational Biochemistry
Computational biochemistry employs computer algorithms to investigate challenging biological systems for which performing bench experiments may be impractical or impossible. Computational biochemistry leverages high-performance computing, coding, and analysis of large datasets to solve emerging problems in biochemistry.
Areas of interest
- Molecular dynamics of biomolecules
- Macromolecular structure prediction
- Computer-aided drug design
- Bioinformatics
Faculty
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Anne Brown , bioAssociate Professor in Research & Informatics Professor of Practice Data Science Faculty Fellow Research Areas: Protein Structure-Function Relationships, Molecular Modelling, Computer-Aided Drug Discovery, Biochemistry Education
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Justin Lemkul , bioAssociate Professor and Graduate Program Director: Computational modeling of amyloidogenic proteins and G-quadruplexes, computer-aided drug design