PTM-Psi: A python package to facilitate the computational investigation of post-translational modification on protein structures and their impacts on dynamics and functions

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Citation: Mejia-Rodriguez D, Kim H, Sadler N, Li X, Bohutskyi P, Valiev M, Qian WJ, Cheung MS. PTM-Psi: A python package to facilitate the computational investigation of post-translational modification on protein structures and their impacts on dynamics and functions. Protein Sci. 2023 Dec;32(12):e4822. doi: 10.1002/pro.4822. PMID: 37902126; PMCID: PMC10659954.

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The Predictive Phenomics Science & Technology Initiative at Pacific Northwest National Laboratory are tackling the grand challenge of understanding and predicting phenotype by identifying the molecular basis of function and enable function-driven design and control of biological systems. Explore...

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The research goal of this project is to develop new theory and tools that leverage evolutionary perspectives and knowledge of the energetics of reactions to predict the most likely regulation in a given environment. These methods will accelerate exploration, modeling and understanding of cell...

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The research goal of this project is to establish model synthetic microbial communities to understand the rules regulating their biological function in order to utilize them as next generation bioproduction platforms capable of reducing carbon and nitrogen footprints in biomanufacturing processes.

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Margaret S. Cheung is a biological physicist and a computational scientist on the Computing, Analytics, and Modeling team at EMSL. She graduated from the National Taiwan University in 1994 and went on to obtain a Ph.D. degree from the University of California at San Diego in 2003. She was then...

Dr. Bohutskyi’s research focus is in developing new bioprocesses addressing sustainable transformation of carbon dioxide, biomass, and wet or liquid waste, including carbon, nitrogen, phosphorus, and other critical elements into bioproducts, chemicals, and fuels. This research uses a suite of...