Pharmacophore modeling, virtual screening and molecular docking of ATPase inhibitors of HSP70. (October 2017)
- Record Type:
- Journal Article
- Title:
- Pharmacophore modeling, virtual screening and molecular docking of ATPase inhibitors of HSP70. (October 2017)
- Main Title:
- Pharmacophore modeling, virtual screening and molecular docking of ATPase inhibitors of HSP70
- Authors:
- Sangeetha, K.
Sasikala, R.P.
Meena, K.S. - Abstract:
- Graphical abstract: Highlights: Heat shock protein 70 is an effective anticancer target as it influences many signaling pathways. Key pharmacophore features required for ATPase inhibitory activity of HSP70 were identified by ligand based pharmacophore model. The identified most extrapolative pharmacophore model (hypotheses 8), consisted of four hydrogen bond acceptors. Three Phytochemical compounds and a synthetic drug were obtained as leads in the inhibition of ATPase activity of HSP70. Abstract: Heat shock protein 70 is an effective anticancer target as it influences many signaling pathways. Hence the study investigated the important pharmacophore feature required for ATPase inhibitors of HSP70 by generating a ligand based pharmacophore model followed by virtual based screening and subsequent validation by molecular docking in Discovery studio V4.0. The most extrapolative pharmacophore model (hypotheses 8) consisted of four hydrogen bond acceptors. Further validation by external test set prediction identified 200 hits from Mini Maybridge, Drug Diverse, SCPDB compounds and Phytochemicals. Consequently, the screened compounds were refined by rule of five, ADMET and molecular docking to retain the best competitive hits. Finally Phytochemical compounds Muricatetrocin B, Diacetylphiladelphicalactone C, Eleutheroside B and 5-(3-{[1-(benzylsulfonyl)piperidin-4-yl]amino}phenyl)- 4-bromo-3-(carboxymethoxy)thiophene-2-carboxylic acid were obtained as leads to inhibit the ATPaseGraphical abstract: Highlights: Heat shock protein 70 is an effective anticancer target as it influences many signaling pathways. Key pharmacophore features required for ATPase inhibitory activity of HSP70 were identified by ligand based pharmacophore model. The identified most extrapolative pharmacophore model (hypotheses 8), consisted of four hydrogen bond acceptors. Three Phytochemical compounds and a synthetic drug were obtained as leads in the inhibition of ATPase activity of HSP70. Abstract: Heat shock protein 70 is an effective anticancer target as it influences many signaling pathways. Hence the study investigated the important pharmacophore feature required for ATPase inhibitors of HSP70 by generating a ligand based pharmacophore model followed by virtual based screening and subsequent validation by molecular docking in Discovery studio V4.0. The most extrapolative pharmacophore model (hypotheses 8) consisted of four hydrogen bond acceptors. Further validation by external test set prediction identified 200 hits from Mini Maybridge, Drug Diverse, SCPDB compounds and Phytochemicals. Consequently, the screened compounds were refined by rule of five, ADMET and molecular docking to retain the best competitive hits. Finally Phytochemical compounds Muricatetrocin B, Diacetylphiladelphicalactone C, Eleutheroside B and 5-(3-{[1-(benzylsulfonyl)piperidin-4-yl]amino}phenyl)- 4-bromo-3-(carboxymethoxy)thiophene-2-carboxylic acid were obtained as leads to inhibit the ATPase activity of HSP70 in our findings and thus can be proposed for further in vitro and in vivo evaluation. … (more)
- Is Part Of:
- Computational biology and chemistry. Volume 70(2017)
- Journal:
- Computational biology and chemistry
- Issue:
- Volume 70(2017)
- Issue Display:
- Volume 70, Issue 2017 (2017)
- Year:
- 2017
- Volume:
- 70
- Issue:
- 2017
- Issue Sort Value:
- 2017-0070-2017-0000
- Page Start:
- 164
- Page End:
- 174
- Publication Date:
- 2017-10
- Subjects:
- HSP 70 -- Pharmacophore modeling -- Virtual screening -- Molceular Docking
Chemistry -- Data processing -- Periodicals
Biology -- Data processing -- Periodicals
Biochemistry -- Data processing
Biology -- Data processing
Molecular biology -- Data processing
Periodicals
Electronic journals
542.85 - Journal URLs:
- http://www.sciencedirect.com/science/journal/14769271 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.compbiolchem.2017.05.011 ↗
- Languages:
- English
- ISSNs:
- 1476-9271
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3390.576700
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 4716.xml