Biomolecular Systems Modeling and Design Group

Publications

Advances in recent years have brought an abundance of data regarding the molecular level details of biology, yet there is still often an absence of understanding in how molecular level phenomena contribute to health and disease. Our work strives to connect molecular structure and function with macroscale observations to develop computational tools for thereapeutic design.

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2023

Machine learning models for predicting membranolytic anticancer peptides
Fatemeh Alimirzaei, Chris A. Kieslich
Computer Aided Chemical Engineering   ·   01 Jan 2023   ·   doi:10.1016/b978-0-443-15274-0.50428-5

2021

Data-driven prediction of antiviral peptides based on periodicities of amino acid properties
Chris A. Kieslich, Fatemeh Alimirzaei, Hyeju Song, Matthew Do, Paige Hall
Computer Aided Chemical Engineering   ·   01 Jan 2021   ·   doi:10.1016/B978-0-323-88506-5.50312-0

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