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Molecular docking and 3D-QSAR studies of Yersinia protein tyrosine phosphatase YopH inhibitors.
Bioorg Med Chem. 2005 Feb 15; 13(4):1101-9.BM

Abstract

Three-dimensional quantitative structure-activity relationship (QSAR) studies were conducted on two classes of recently explored compounds with known YopH inhibitory activities. Docking studies were employed to position the inhibitors into the YopH active site to determine the probable binding conformation. Good correlations between the predicated binding free energies and the inhibitory activities were found for two subsets of phosphate mimetics: alpha-ketocarboxylic acid and squaric acid (R2=0.70 and 0.68, respectively). The docking results also provided a reliable conformational alignment scheme for 3D-QSAR modeling. Comparative molecular field analysis (CoMFA) and comparative molecular similarity indices analysis (CoMSIA) were performed based on the docking conformations, giving q2 of 0.734 and 0.754 for CoMFA and CoMSIA models, respectively. The 3D-QSAR models were significantly improved after removal of an outlier (q2=0.829 for CoMFA and q2=0.837 for CoMSIA). The predictive ability of the models was validated using a set of compounds that were not included in the training set. Mapping the 3D-QSAR models to the active site of YopH provides new insight into the protein-inhibitor interactions for this enzyme. These results should be applicable to the prediction of the activities of new YopH inhibitors, as well as providing structural implications for designing potent and selective YopH inhibitors as antiplague agents.

Authors+Show Affiliations

Laboratory of Structural Microbiology, The Rockefeller University, 1230 York Avenue, New York, NY 10021, USA.No affiliation info available

Pub Type(s)

Journal Article
Research Support, N.I.H., Extramural
Research Support, U.S. Gov't, P.H.S.

Language

eng

PubMed ID

15670918

Citation

Hu, Xin, and C Erec Stebbins. "Molecular Docking and 3D-QSAR Studies of Yersinia Protein Tyrosine Phosphatase YopH Inhibitors." Bioorganic & Medicinal Chemistry, vol. 13, no. 4, 2005, pp. 1101-9.
Hu X, Stebbins CE. Molecular docking and 3D-QSAR studies of Yersinia protein tyrosine phosphatase YopH inhibitors. Bioorg Med Chem. 2005;13(4):1101-9.
Hu, X., & Stebbins, C. E. (2005). Molecular docking and 3D-QSAR studies of Yersinia protein tyrosine phosphatase YopH inhibitors. Bioorganic & Medicinal Chemistry, 13(4), 1101-9.
Hu X, Stebbins CE. Molecular Docking and 3D-QSAR Studies of Yersinia Protein Tyrosine Phosphatase YopH Inhibitors. Bioorg Med Chem. 2005 Feb 15;13(4):1101-9. PubMed PMID: 15670918.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Molecular docking and 3D-QSAR studies of Yersinia protein tyrosine phosphatase YopH inhibitors. AU - Hu,Xin, AU - Stebbins,C Erec, PY - 2004/09/07/received PY - 2004/11/09/revised PY - 2004/11/15/accepted PY - 2005/1/27/pubmed PY - 2005/8/3/medline PY - 2005/1/27/entrez SP - 1101 EP - 9 JF - Bioorganic & medicinal chemistry JO - Bioorg Med Chem VL - 13 IS - 4 N2 - Three-dimensional quantitative structure-activity relationship (QSAR) studies were conducted on two classes of recently explored compounds with known YopH inhibitory activities. Docking studies were employed to position the inhibitors into the YopH active site to determine the probable binding conformation. Good correlations between the predicated binding free energies and the inhibitory activities were found for two subsets of phosphate mimetics: alpha-ketocarboxylic acid and squaric acid (R2=0.70 and 0.68, respectively). The docking results also provided a reliable conformational alignment scheme for 3D-QSAR modeling. Comparative molecular field analysis (CoMFA) and comparative molecular similarity indices analysis (CoMSIA) were performed based on the docking conformations, giving q2 of 0.734 and 0.754 for CoMFA and CoMSIA models, respectively. The 3D-QSAR models were significantly improved after removal of an outlier (q2=0.829 for CoMFA and q2=0.837 for CoMSIA). The predictive ability of the models was validated using a set of compounds that were not included in the training set. Mapping the 3D-QSAR models to the active site of YopH provides new insight into the protein-inhibitor interactions for this enzyme. These results should be applicable to the prediction of the activities of new YopH inhibitors, as well as providing structural implications for designing potent and selective YopH inhibitors as antiplague agents. SN - 0968-0896 UR - https://www.unboundmedicine.com/medline/citation/15670918/Molecular_docking_and_3D_QSAR_studies_of_Yersinia_protein_tyrosine_phosphatase_YopH_inhibitors_ DB - PRIME DP - Unbound Medicine ER -