Detail publikace

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

ROY, S. KUMAR, A. PROVAZNÍK, I.

Originální název

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

Anglický název

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

Jazyk

en

Originální abstrakt

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.

Anglický abstrakt

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.

Dokumenty

BibTex 


@inproceedings{BUT110163,
  author="Sudeep {Roy} and Akhil {Kumar} and Ivo {Provazník}",
  title="Virtual screening, ADMET profiling, molecular docking and dynamics approaches to search for potent selective natural molecule based inhibitors against metallothionein-III to study Alzheimer's disease",
  annote="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.",
  address="IEEE",
  booktitle="Proceedings IEEE International Conference on Bioinformatics and Biomedicine (BIBM)",
  chapter="110163",
  howpublished="print",
  institution="IEEE",
  year="2014",
  month="november",
  pages="352--356",
  publisher="IEEE",
  type="conference paper"
}