Protein storytelling through physics
Author(s) -
Emiliano Brini,
Carlos Simmerling,
Ken A. Dill
Publication year - 2020
Publication title -
science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 12.556
H-Index - 1186
eISSN - 1095-9203
pISSN - 0036-8075
DOI - 10.1126/science.aaz3041
Subject(s) - leverage (statistics) , biomolecule , nanotechnology , computer science , data science , physics , computational biology , biology , artificial intelligence , materials science
Understanding what drives proteins Computational molecular physics (CMP) aims to leverage the laws of physics to understand not just static structures but also the motions and actions of biomolecules. Applying CMP to proteins has required either simplifying the physical models or running simulations that are shorter than the time scale of the biological activity. Briniet al. reviewed advances that are moving CMP to time scales that match biological events such as protein folding, ligand unbinding, and some conformational changes. They also highlight the role of blind competitions in driving the field forward. New methods such as deep learning approaches are likely to make CMP an increasingly powerful tool in describing proteins in action.Science , this issue p.eaaz3041
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