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Virtual screening, ADMET profiling, molecular docking and dynamics approaches to search for potent selective natural molecules based inhibitors against metallothionein-III to study Alzheimer's disease.

AbstractMOTIVATION:
Metallothionein-III (MT-III) displays neuro-inhibitory activity and is involved in the repair of neuronal damage. An altered expression level of MT-III suggests that it could be a mitigating factor in Alzheimer's disease (AD) neuronal dysfunction. Currently there are limited marketed drugs available against MT-III. The inhibitors are mostly pseudo-peptide based with limited ADMET. In our present study, available database InterBioScreen (natural compounds) was screened out for MT-III. Pharmacodynamics and pharmacokinetic studies were performed. Molecular docking and simulations of top hit molecules were performed to study complex stability.
RESULTS:
Study reveals potent selective molecules that interact and form hydrogen bonds with amino acids Ser-6 and Lys-22 are common to established melatonin inhibitors for MT-III. These include DMHMIO, MCA B and s27533 derivatives. The ADMET profiling was better with comparable interaction energy values. It includes properties like blood brain barrier, hepatotoxicity, druggability, mutagenicity and carcinogenicity. Molecular dynamics studies were performed to validate our findings.
AuthorsSudeep Roy, Akhil Kumar, Mohd Hassan Baig, Michal Masařík, Ivo Provazník
JournalMethods (San Diego, Calif.) (Methods) Vol. 83 Pg. 105-10 (Jul 15 2015) ISSN: 1095-9130 [Electronic] United States
PMID25920949 (Publication Type: Journal Article, Research Support, Non-U.S. Gov't)
CopyrightCopyright © 2015. Published by Elsevier Inc.
Chemical References
  • Metallothionein 3
  • Nerve Tissue Proteins
Topics
  • Alzheimer Disease (metabolism, pathology)
  • Biophysical Phenomena
  • Humans
  • Metallothionein 3
  • Molecular Docking Simulation
  • Molecular Dynamics Simulation
  • Nerve Tissue Proteins (antagonists & inhibitors, chemistry)

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