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Machine learning CG potentials of protein thermodynamics
Serdecznie zapraszamy na wykład Pani prof. Cecilii Clementi z Freie Universität Berlin, Department of Physics, Berlin, Germany oraz Rice University, Department of Physics, Houston, USA, pod tytułem "Machine learning coarse-grained potentials of protein thermodynamics".
Wykład odbędzie się w ramach Seminarium z Fizyki Biologicznej i Bioinformatyki Instytutu Biochemii i Biofizyki PAN, Instytutu Fizyki PAN i Zakładu Biofizyki UW w środę, 11.10.2023 o godzinie 15:15 na platformie Zoom.
Molecular Dynamic simulations are becoming a standard tool to characterize protein dynamics. Despite the significant progress and impressive results obtained utilizing atomic-level force fields, simulations longer than milliseconds are still unfeasible for large protein systems. We present recent results on the developments of protein models at reduced resolution that can still well reproduce a protein configurational landscape but at a small fraction of the cost. We discuss the method development and the results, and we present a quantitative comparison of the thermodynamic and dynamic properties of different macromolecular systems at different resolutions.
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