Abstract
Joint pharmacophore space (JPS), ensemble docking and sequential JPS-ensemble docking were used to select three panels of compounds (10 per panel) for evaluation as LRRK2 inhibitors. These computational methods identified four LRRK2 inhibitors with IC50 values <12μM. The sequential JPS-ensemble docking predicted the majority of active hits. One of the inhibitors (Z-8205) identified using this method was also found to inhibit the G2019S mutant of LRRK2 25-fold better than wild-type enzyme. This bias for the G2019S mutant is proposed to arise from an interaction with S2019 in this form of the enzyme. In addition, Z-8205 was found to only inhibit one other kinase when profiled against a panel of 97 kinases at 10μM.
Keywords:
Ensemble docking; In silico; Inhibitor; Joint pharmacophore space; LRRK2.
Copyright © 2015 Elsevier Ltd. All rights reserved.
Publication types
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Research Support, Non-U.S. Gov't
MeSH terms
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Amino Acid Substitution
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Binding Sites
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Computer Simulation
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Drug Discovery
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High-Throughput Screening Assays
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Humans
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Leucine-Rich Repeat Serine-Threonine Protein Kinase-2
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Models, Molecular
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Mutant Proteins / antagonists & inhibitors
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Mutant Proteins / chemistry
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Mutant Proteins / genetics
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Parkinson Disease / enzymology
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Parkinson Disease / genetics
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Protein Kinase Inhibitors / chemistry*
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Protein Kinase Inhibitors / pharmacology*
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Protein Serine-Threonine Kinases / antagonists & inhibitors*
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Protein Serine-Threonine Kinases / chemistry
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Protein Serine-Threonine Kinases / genetics
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Structural Homology, Protein
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Structure-Activity Relationship
Substances
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Mutant Proteins
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Protein Kinase Inhibitors
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LRRK2 protein, human
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Leucine-Rich Repeat Serine-Threonine Protein Kinase-2
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Protein Serine-Threonine Kinases