Prediction of new chromene-based inhibitors of tubulin using structure-based virtual screening and molecular dynamics simulation methods. (December 2017)
- Record Type:
- Journal Article
- Title:
- Prediction of new chromene-based inhibitors of tubulin using structure-based virtual screening and molecular dynamics simulation methods. (December 2017)
- Main Title:
- Prediction of new chromene-based inhibitors of tubulin using structure-based virtual screening and molecular dynamics simulation methods
- Authors:
- Aryapour, Hassan
Dehdab, Maryam
Sohraby, Farzin
Bargahi, Afshar - Abstract:
- Graphical abstract: Highlights: A mixed computational method was carried out to identify chromene-based inhibitors of tubulin. After the virtual screening, the hit compounds were identified: PubChem CID: 16814409, 17594471, 57367244 and 69899719. Hit compounds show identical and even better activity than colchicine and therefore can be potential inhibitors of tubulin polymerization. Hit compounds significantly suppressed the dynamic instability of microtubules compared to apo-tubulin. Abstract: Multidrug resistance (MDR) is one of the serious problems in cancer research that causes failure in chemotherapy. Chromene-based compounds have been proven to be the novel anti-MDR agents for inhibiting proliferation of tumor cells through tubulin polymerization inhibition of by binding at the colchicine binding site. In this study, we screened a chromene-based database of small molecules using physicochemical, ADMET properties and molecular docking to identify potential hit compounds. In order to validate our hit compounds, molecular dynamics simulations and related analysis were carried out and the results suggest that our hit compounds (PubChem CIDs: 16814409, 17594471, 57367244 and 69899719) can prove to be potential inhibitors of tubulin. The in silico results show that the present hits, like colchicine, effectively suppressed the dynamic instability of microtubules and induced microtubule-depolymerization and cell cycle arrest.
- Is Part Of:
- Computational biology and chemistry. Volume 71(2017)
- Journal:
- Computational biology and chemistry
- Issue:
- Volume 71(2017)
- Issue Display:
- Volume 71, Issue 2017 (2017)
- Year:
- 2017
- Volume:
- 71
- Issue:
- 2017
- Issue Sort Value:
- 2017-0071-2017-0000
- Page Start:
- 89
- Page End:
- 97
- Publication Date:
- 2017-12
- Subjects:
- Chromene -- Microtubule -- Tubulin -- Cancer -- Docking -- Molecular dynamics simulation -- Virtual screening
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.2017.09.007 ↗
- 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:
- 5452.xml