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Quantitative Characterization of Binding Pockets and Binding Complementarity by Means of Zernike Descriptors
Author(s) -
Lorenzo Di Rienzo,
Edoardo Milanetti,
Josephine Alba,
Marco D’Abramo
Publication year - 2020
Publication title -
journal of chemical information and modeling
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.24
H-Index - 160
eISSN - 1549-960X
pISSN - 1549-9596
DOI - 10.1021/acs.jcim.9b01066
Subject(s) - zernike polynomials , complementarity (molecular biology) , formalism (music) , robustness (evolution) , molecular dynamics , biological system , uncorrelated , computer science , chemistry , computational biology , statistical physics , mathematics , computational chemistry , physics , biology , statistics , genetics , biochemistry , art , musical , wavefront , gene , optics , visual arts
In this work, we describe the application of the Zernike formalism to quantitatively characterize the binding pockets of two sets of biologically relevant systems. Such an approach, when applied to molecular dynamics trajectories, is able to pinpoint the subtle differences between very similar molecular regions and their impact on the local propensity to ligand binding, allowing us to quantify such differences. The statistical robustness of our procedure suggests that it is very suitable to describe protein binding sites and protein-ligand interactions within a rigorous and well-defined framework.

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