Coupled atomic charge selectivity for optimal ligand-charge distributions at protein binding sites

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Pages18991907; # of pages: 9
SubjectBinding Sites; Electrostatics; HPC; pha; Protein; Protein Binding
AbstractCharge optimization as a tool for both analyzing and enhancing binding electrostatics has become an attractive approach over the past few years. An interesting feature of this method for molecular design is that it provides not only the optimal charge magnitudes, but also the selectivity of a particular atomic center for its optimal charge. The current approach to compute the charge selectivity at a given atomic center of a ligand in a particular binding process is based on the binding-energy cost incurred upon the perturbation of the optimal charge distribution by a unit charge at the given atomic center, while keeping the other atomic partial charges at their optimal values. A limitation of this method is that it does not take into account the possible concerted changes in the other atomic charges that may incur a lower energetic cost than perturbing a single charge. Here, we describe a novel approach for characterizing charge selectivity in a concerted manner, taking into account the coupling between the ligand charge centers in the binding process. We apply this novel charge selectivity measure to the celecoxib molecule, a nonsteroidal anti-inflammatory agent binding to cyclooxygenase 2 (COX2), which has been recently shown to also exhibit cross-reactivity toward carbonic anhydrase II (CAII), to which it binds with nanomolar affinity. The uncoupled and coupled charge selectivity profiles over the atomic centers of the celecoxib ligand, binding independently to COX2 and CAII, are analyzed comparatively and rationalized with respect to available experimental data. Very different charge selectivity profiles are obtained for the uncoupled versus coupled selectivity calculations. (c) 2006 Wiley Periodicals, Inc. J Comput Chem, 2006
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AffiliationNRC Biotechnology Research Institute; National Research Council Canada
Peer reviewedNo
NRC number47529
NPARC number3538815
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Record identifierbbc4a2d0-17fa-48c5-9e0d-33e57f979095
Record created2009-03-01
Record modified2016-05-09
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