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Issue 25, 2018
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Toward a unified scoring function for native state discrimination and drug-binding pocket recognition

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Abstract

Protein folding and receptor–ligand recognition are fundamental processes for any living organism. Although folding and ligand recognition are based on the same chemistry, the existing empirical scoring functions target just one problem: predicting the correct fold or the correct binding pose. We here introduce a statistical potential which considers moieties as fundamental units. The scoring function is able to deal with both folding and ligand pocket recognition problems with a performance comparable to the scoring functions specifically tailored for one of the two tasks. We foresee that the capability of the new scoring function to tackle both problems in a unified framework will be a key to deal with the induced fit phenomena, in which a target protein changes significantly its conformation upon binding. Moreover, the new scoring function might be useful in docking protocols towards intrinsically disordered proteins, whose flexibility cannot be handled with the available docking software.

Graphical abstract: Toward a unified scoring function for native state discrimination and drug-binding pocket recognition

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Publication details

The article was received on 06 Dec 2017, accepted on 28 May 2018 and first published on 30 May 2018


Article type: Paper
DOI: 10.1039/C7CP08170G
Citation: Phys. Chem. Chem. Phys., 2018,20, 17148-17155
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    Toward a unified scoring function for native state discrimination and drug-binding pocket recognition

    A. Battisti, S. Zamuner, E. Sarti and A. Laio, Phys. Chem. Chem. Phys., 2018, 20, 17148
    DOI: 10.1039/C7CP08170G

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