Modeling genome-wide enzyme evolution predicts strong epistasis underlying catalytic turnover rates

by David Heckmann, Daniel C. Zielinski, Bernhard O. Palsson
Published 2018-12-01

Topological and kinetic determinants of the modal matrices of dynamic models of metabolism.

by Bin Du, Daniel C Zielinski, Bernhard O Palsson
Published 2017-01-01

The quantitative metabolome is shaped by abiotic constraints

by Amir Akbari, James T. Yurkovich, Daniel C. Zielinski, Bernhard O. Palsson
Published 2021-05-01

MASSpy: Building, simulating, and visualizing dynamic biological models in Python using mass action kinetics.

by Zachary B Haiman, Daniel C Zielinski, Yuko Koike, James T Yurkovich, Bernhard O Palsson
Published 2021-01-01

A systems approach to predict oncometabolites via context-specific genome-scale metabolic networks.

by Hojung Nam, Miguel Campodonico, Aarash Bordbar, Daniel R Hyduke, Sangwoo Kim, Daniel C Zielinski, Bernhard O Palsson
Published 2014-09-01

Machine learning applied to enzyme turnover numbers reveals protein structural correlates and improves metabolic models

by David Heckmann, Colton J. Lloyd, Nathan Mih, Yuanchi Ha, Daniel C. Zielinski, Zachary B. Haiman, Abdelmoneim Amer Desouki, Martin J. Lercher, Bernhard O. Palsson
Published 2018-12-01