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Pharmacophore modeling study based on known spleen tyrosine kinase inhibitors together with virtual screening for identifying novel inhibitors.
Bioorg Med Chem Lett. 2009 Apr 01; 19(7):1944-9.BM

Abstract

In this investigation, chemical features based 3D pharmacophore models were developed based on the known inhibitors of Spleen tyrosine kinase (Syk) with the aid of hiphop and hyporefine modules within catalyst. The best quantitative pharmacophore model, Hypo1, was used as a 3D structural query for retrieving potential inhibitors from chemical databases including Specs, NCI, MayBridge, and Chinese Nature Product Database (CNPD). The hit compounds were subsequently subjected to filtering by Lipinski's rule of five and docking studies to refine the retrieved hits. Finally 30 compounds were selected from the top ranked hit compounds and conducted an in vitro kinase inhibitory assay. Six compounds showed a good inhibitory potency against Syk, which have been selected for further investigation.

Authors+Show Affiliations

State Key Laboratory of Biotherapy, West China Hospital, West China School of Pharmacy, Sichuan University, Sichuan 610041, China.No affiliation info availableNo 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

19254842

Citation

Xie, Huan-Zhang, et al. "Pharmacophore Modeling Study Based On Known Spleen Tyrosine Kinase Inhibitors Together With Virtual Screening for Identifying Novel Inhibitors." Bioorganic & Medicinal Chemistry Letters, vol. 19, no. 7, 2009, pp. 1944-9.
Xie HZ, Li LL, Ren JX, et al. Pharmacophore modeling study based on known spleen tyrosine kinase inhibitors together with virtual screening for identifying novel inhibitors. Bioorg Med Chem Lett. 2009;19(7):1944-9.
Xie, H. Z., Li, L. L., Ren, J. X., Zou, J., Yang, L., Wei, Y. Q., & Yang, S. Y. (2009). Pharmacophore modeling study based on known spleen tyrosine kinase inhibitors together with virtual screening for identifying novel inhibitors. Bioorganic & Medicinal Chemistry Letters, 19(7), 1944-9. https://doi.org/10.1016/j.bmcl.2009.02.049
Xie HZ, et al. Pharmacophore Modeling Study Based On Known Spleen Tyrosine Kinase Inhibitors Together With Virtual Screening for Identifying Novel Inhibitors. Bioorg Med Chem Lett. 2009 Apr 1;19(7):1944-9. PubMed PMID: 19254842.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Pharmacophore modeling study based on known spleen tyrosine kinase inhibitors together with virtual screening for identifying novel inhibitors. AU - Xie,Huan-Zhang, AU - Li,Lin-Li, AU - Ren,Ji-Xia, AU - Zou,Jun, AU - Yang,Li, AU - Wei,Yu-Quan, AU - Yang,Sheng-Yong, Y1 - 2009/02/20/ PY - 2008/11/09/received PY - 2009/01/20/revised PY - 2009/02/12/accepted PY - 2009/3/4/entrez PY - 2009/3/4/pubmed PY - 2009/6/16/medline SP - 1944 EP - 9 JF - Bioorganic & medicinal chemistry letters JO - Bioorg Med Chem Lett VL - 19 IS - 7 N2 - In this investigation, chemical features based 3D pharmacophore models were developed based on the known inhibitors of Spleen tyrosine kinase (Syk) with the aid of hiphop and hyporefine modules within catalyst. The best quantitative pharmacophore model, Hypo1, was used as a 3D structural query for retrieving potential inhibitors from chemical databases including Specs, NCI, MayBridge, and Chinese Nature Product Database (CNPD). The hit compounds were subsequently subjected to filtering by Lipinski's rule of five and docking studies to refine the retrieved hits. Finally 30 compounds were selected from the top ranked hit compounds and conducted an in vitro kinase inhibitory assay. Six compounds showed a good inhibitory potency against Syk, which have been selected for further investigation. SN - 1464-3405 UR - https://www.unboundmedicine.com/medline/citation/19254842/Pharmacophore_modeling_study_based_on_known_spleen_tyrosine_kinase_inhibitors_together_with_virtual_screening_for_identifying_novel_inhibitors_ L2 - https://linkinghub.elsevier.com/retrieve/pii/S0960-894X(09)00204-2 DB - PRIME DP - Unbound Medicine ER -