Jose Dominguez-Meijde , Samuel Murail , Rachid Boudjelloul , Angelita Rebollo , Pierre Tuffery
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引用次数: 0
Abstract
Parkinson's disease (PD) is a complex neurodegenerative disorder for which there is presently only palliative treatments. Recently, the interaction between the Leucine Reach Repeat Kinase 2 (LRRK2) and the Protein Phosphatase 1 (PP1) has come to light as a priority target for PD, but the way LRRK2 and PP1 interact is currently unknown, hampering the design of modulators. We have previously identified a fragment of LRRK2 able to interfere with the interaction of LRRK2 and PP1 catalytic subunit alpha (PP1CA), and we assume it should bind PP1CA at the LRRK2/PP1CA interface. In this study, we first identify the fragments of PP1CA that are able to interfere with the LRRK2/PP1CA interaction so as to get information about the regions of PP1CA likely to face LRRK2. Next, by combining in silico studies with in vitro competition experiments, we narrow down among the various hypotheses proposed regarding its mode of binding to PP1CA. Overall, we identify one preferred binding mode between the LRRK2 fragment and PP1CA consistent with in vitro results obtained for mutants of the initial fragment. These results pave the way for further rational design of modulators of the LRRK2/PP1CA interaction, to further decipher the molecular mechanisms underlying PD etiology.
期刊介绍:
The Journal of Molecular Graphics and Modelling is devoted to the publication of papers on the uses of computers in theoretical investigations of molecular structure, function, interaction, and design. The scope of the journal includes all aspects of molecular modeling and computational chemistry, including, for instance, the study of molecular shape and properties, molecular simulations, protein and polymer engineering, drug design, materials design, structure-activity and structure-property relationships, database mining, and compound library design.
As a primary research journal, JMGM seeks to bring new knowledge to the attention of our readers. As such, submissions to the journal need to not only report results, but must draw conclusions and explore implications of the work presented. Authors are strongly encouraged to bear this in mind when preparing manuscripts. Routine applications of standard modelling approaches, providing only very limited new scientific insight, will not meet our criteria for publication. Reproducibility of reported calculations is an important issue. Wherever possible, we urge authors to enhance their papers with Supplementary Data, for example, in QSAR studies machine-readable versions of molecular datasets or in the development of new force-field parameters versions of the topology and force field parameter files. Routine applications of existing methods that do not lead to genuinely new insight will not be considered.