Improved CoMFA Modeling by Optimization of Settings : Toward the Design of Inhibitors of the HCV NS3 Protease

作者: Shane Peterson

DOI:

关键词:

摘要: In an effort to develop a new type of HCV NS3 peptidomimetic inhibitor, series tripeptide inhibitors incorporating mix alpha- and beta-amino acids has been synthesized. To understand the structural implications acid substitution, P(1), P(2), P(3) positions potent scaffold were scanned combined with carboxylic acyl sulfonamide C-terminal groups. Inhibition was evaluated revealed that changes resulted in loss potency compared alpha-peptide analogues. However, several compounds exhibited muM potency. data modeled ligand-protein binding poses how ligand structure affected inhibition The position seemed be least sensitive for substitution. Moreover, importance proper oxyanion hole interaction good suggested by both molecular modeling. gain further insight into requirements inhibitors, three-dimensional quantitative structure-activity relationship (3D-QSAR) model constructed using comparative field analysis (CoMFA). most predictive CoMFA q(2)=0.48 r(pred)(2)=0.68.

参考文章(172)
Wolfgang Sippl, Application of Structure‐Based Alignment Methods for 3D QSAR Analyses Wiley‐VCH Verlag GmbH & Co. KGaA. pp. 223- 249 ,(2006) , 10.1002/3527609164.CH11
Colin Mcmartin, Regine S. Bohacek, QXP: powerful, rapid computer algorithms for structure-based drug design. Journal of Computer-aided Molecular Design. ,vol. 11, pp. 333- 344 ,(1997) , 10.1023/A:1007907728892
Anders Berglund, Maria Cristina De Rosa, Svante Wold, Alignment of flexible molecules at their receptor site using 3D descriptors and Hi-PCA. Journal of Computer-aided Molecular Design. ,vol. 11, pp. 601- 612 ,(1997) , 10.1023/A:1007983320854
Christian Lemmen, Marc Zimmermann, Thomas Lengauer, Multiple molecular superpositioning as an effective tool for virtual database screening Perspectives in Drug Discovery and Design. ,vol. 20, pp. 43- 62 ,(2000) , 10.1007/0-306-46883-2_4
Robert D. Clark, Boosted leave-many-out cross-validation: the effect of training and test set diversity on PLS statistics. Journal of Computer-aided Molecular Design. ,vol. 17, pp. 265- 275 ,(2003) , 10.1023/A:1025366721142
Alexander Golbraikh, Min Shen, Zhiyan Xiao, Yun-De Xiao, Kuo-Hsiung Lee, Alexander Tropsha, Rational selection of training and test sets for the development of validated QSAR models. Journal of Computer-aided Molecular Design. ,vol. 17, pp. 241- 253 ,(2003) , 10.1023/A:1025386326946
Christian Lemmen, Thomas Lengauer, Computational methods for the structural alignment of molecules. Journal of Computer-aided Molecular Design. ,vol. 14, pp. 215- 232 ,(2000) , 10.1023/A:1008194019144
Svante Wold, Lennart Eriksson, Sergio Clementi, Statistical Validation of QSAR Results Chemometric Methods in Molecular Design. pp. 309- 338 ,(1995) , 10.1002/9783527615452.CH5