Knowledge-based potentials for protein folding: what can we learn from known protein structures?

A Godzik

doi:10.1016/s0969-2126(96)00041-x

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Knowledge-based potentials for protein folding: what can we learn from known protein structures?

A Godzik

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Abstract

Empirical potentials capture the essence of regularities seen in protein structures and can be used in simulations and predictions of protein structure or function. Derivations of such potentials require comparisons to be made between experimentally derived protein structures and theoretically constructed reference states.

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Computer Simulation Models, Molecular Protein Conformation Protein Folding Proteins Comparative Study Journal Article Research Support, U.S. Gov't, P.H.S.Review

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A Godzik. 1996-04-15. Knowledge-based potentials for protein folding: what can we learn from known protein structures?. https://doi.org/10.1016/s0969-2126(96)00041-x

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