A computer aided drug discovery based discovery of lead‐like compounds against KDM5A for cancers using pharmacophore modeling and high‐throughput virtual screening. Issue 3 (22nd October 2021)
- Record Type:
- Journal Article
- Title:
- A computer aided drug discovery based discovery of lead‐like compounds against KDM5A for cancers using pharmacophore modeling and high‐throughput virtual screening. Issue 3 (22nd October 2021)
- Main Title:
- A computer aided drug discovery based discovery of lead‐like compounds against KDM5A for cancers using pharmacophore modeling and high‐throughput virtual screening
- Authors:
- Tariq, Asma
Rehman, Hafiz Muzzammel
Mateen, Rana Muhammad
Ali, Moazzam
Mutahir, Zeeshan
Afzal, Muhammad Sohail
Sajjad, Muhammad
Gul, Roquyya
Saleem, Mahjabeen - Abstract:
- Abstract: KDM5A over‐expression mediates cancer cell proliferation and promotes resistance toward chemotherapy through epigenetic modifications. As its complete mechanism of action is still unknown, there is no KDM5A specific drug available at clinical level. In the current study, lead compounds for KDM5A were determined through pharmacophore modeling and high‐throughput virtual screening from Asinex libraries containing 0.5 million compounds. These virtual hits were further evaluated and filtered for ADMET properties. Finally, 726 compounds were used for docking analysis against KDM5A. On the basis of docking score, 10 top‐ranked compounds were selected and further evaluated for non‐central nervous system (CNS) and CNS drug‐like properties. Among these compounds, N ‐{[(7‐Methyl‐4‐oxo‐1, 2, 3, 4‐tetrahydrocyclopenta [c] chromen‐9‐yl) oxy]acetyl}‐l ‐phenylalanine (G‐score: −11.363 kcal/mol) was estimated to exhibit non‐CNS properties while 2‐(3, 4‐Dimethoxy‐phenyl)‐7‐methoxy‐chromen‐4‐one (G‐score: −7.977 kcal/mol) was evaluated as CNS compound. Docked complexes of both compounds were finally selected for molecular dynamic simulation to examine the stability. This study concluded that both these compounds can serve as lead compounds in the quest of finding therapeutic agents against KDM5A associated cancers.
- Is Part Of:
- Proteins. Volume 90:Issue 3(2022)
- Journal:
- Proteins
- Issue:
- Volume 90:Issue 3(2022)
- Issue Display:
- Volume 90, Issue 3 (2022)
- Year:
- 2022
- Volume:
- 90
- Issue:
- 3
- Issue Sort Value:
- 2022-0090-0003-0000
- Page Start:
- 645
- Page End:
- 657
- Publication Date:
- 2021-10-22
- Subjects:
- cancers -- drug -- high‐throughput virtual screening -- KDM5A -- molecular docking -- pharmacophore
Proteins -- Periodicals
Proteins -- Periodicals
572.6 - Journal URLs:
- http://onlinelibrary.wiley.com/ ↗
- DOI:
- 10.1002/prot.26262 ↗
- Languages:
- English
- ISSNs:
- 0887-3585
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 6936.164000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 20760.xml