Tags

Type your tag names separated by a space and hit enter

Multiple pharmacophore models combined with molecular docking: a reliable way for efficiently identifying novel PDE4 inhibitors with high structural diversity.
J Chem Inf Model. 2010 Apr 26; 50(4):615-25.JC

Abstract

Multiple pharmacophore models were constructed based on the 18 crystal structures of phosphodiesterase 4 (PDE4) in complex with different inhibitors for discovering new potential PDE4 inhibitors. After validation of their efficiency in screening, 10 of the pharmacophore models were confirmed effective. Remarkably, the hits retrieved by these effective pharmacophore models were different, demonstrating that different pharmacophore models may have different performances in database screening. Therefore, all these models were employed to screen the compound database SPECS for finding potent leads with much structural diversity. Combining all the screened hits based on the 10 pharmacophore models, followed by molecular docking and bioassay, 4 of 53 tested compounds were found as active as rolipram (a well studied PDE4 inhibitor). More impressively, the four potent inhibitors with different chemical scaffolds were discovered by three different pharmacophore models separately, suggesting that a single pharmacophore model-based screening might not be efficient in thoroughly identifying potential hits from a compound database. This study also revealed that ligand-receptor complex structure-based pharmacophore is more efficient for identifying potent hits with great structural diversity in comparison with ligand-based pharmacophore and similarity search approaches. Therefore, multiple pharmacophore model-based virtual screenings should be used, if available, in combination with molecular docking for fully discovering hit compounds from compound databases.

Authors+Show Affiliations

Shanghai Institute of Materia Medica, Chinese Academy of Sciences, 555 Zuchongzhi Road, Shanghai 201203, People's Republic of China.No affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info available

Pub Type(s)

Journal Article
Research Support, Non-U.S. Gov't

Language

eng

PubMed ID

20353193

Citation

Chen, Zhi, et al. "Multiple Pharmacophore Models Combined With Molecular Docking: a Reliable Way for Efficiently Identifying Novel PDE4 Inhibitors With High Structural Diversity." Journal of Chemical Information and Modeling, vol. 50, no. 4, 2010, pp. 615-25.
Chen Z, Tian G, Wang Z, et al. Multiple pharmacophore models combined with molecular docking: a reliable way for efficiently identifying novel PDE4 inhibitors with high structural diversity. J Chem Inf Model. 2010;50(4):615-25.
Chen, Z., Tian, G., Wang, Z., Jiang, H., Shen, J., & Zhu, W. (2010). Multiple pharmacophore models combined with molecular docking: a reliable way for efficiently identifying novel PDE4 inhibitors with high structural diversity. Journal of Chemical Information and Modeling, 50(4), 615-25. https://doi.org/10.1021/ci9004173
Chen Z, et al. Multiple Pharmacophore Models Combined With Molecular Docking: a Reliable Way for Efficiently Identifying Novel PDE4 Inhibitors With High Structural Diversity. J Chem Inf Model. 2010 Apr 26;50(4):615-25. PubMed PMID: 20353193.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Multiple pharmacophore models combined with molecular docking: a reliable way for efficiently identifying novel PDE4 inhibitors with high structural diversity. AU - Chen,Zhi, AU - Tian,Guanghui, AU - Wang,Zhen, AU - Jiang,Hualiang, AU - Shen,Jingshan, AU - Zhu,Weiliang, PY - 2010/4/1/entrez PY - 2010/4/1/pubmed PY - 2010/8/14/medline SP - 615 EP - 25 JF - Journal of chemical information and modeling JO - J Chem Inf Model VL - 50 IS - 4 N2 - Multiple pharmacophore models were constructed based on the 18 crystal structures of phosphodiesterase 4 (PDE4) in complex with different inhibitors for discovering new potential PDE4 inhibitors. After validation of their efficiency in screening, 10 of the pharmacophore models were confirmed effective. Remarkably, the hits retrieved by these effective pharmacophore models were different, demonstrating that different pharmacophore models may have different performances in database screening. Therefore, all these models were employed to screen the compound database SPECS for finding potent leads with much structural diversity. Combining all the screened hits based on the 10 pharmacophore models, followed by molecular docking and bioassay, 4 of 53 tested compounds were found as active as rolipram (a well studied PDE4 inhibitor). More impressively, the four potent inhibitors with different chemical scaffolds were discovered by three different pharmacophore models separately, suggesting that a single pharmacophore model-based screening might not be efficient in thoroughly identifying potential hits from a compound database. This study also revealed that ligand-receptor complex structure-based pharmacophore is more efficient for identifying potent hits with great structural diversity in comparison with ligand-based pharmacophore and similarity search approaches. Therefore, multiple pharmacophore model-based virtual screenings should be used, if available, in combination with molecular docking for fully discovering hit compounds from compound databases. SN - 1549-960X UR - https://www.unboundmedicine.com/medline/citation/20353193/Multiple_pharmacophore_models_combined_with_molecular_docking:_a_reliable_way_for_efficiently_identifying_novel_PDE4_inhibitors_with_high_structural_diversity_ L2 - https://doi.org/10.1021/ci9004173 DB - PRIME DP - Unbound Medicine ER -