Literature DB >> 21438547

Novel strategy for three-dimensional fragment-based lead discovery.

Haoliang Yuan1, Tao Lu, Ting Ran, Haichun Liu, Shuai Lu, Wenting Tai, Ying Leng, Weiwei Zhang, Jian Wang, Yadong Chen.   

Abstract

Fragment-based drug design (FBDD) is considered a promising approach in lead discovery. However, for a practical application of this approach, problems remain to be solved. Hence, a novel practical strategy for three-dimensional lead discovery is presented in this work. Diverse fragments with spatial positions and orientations retained in separately adjacent regions were generated by deconstructing well-aligned known inhibitors in the same target active site. These three-dimensional fragments retained their original binding modes in the process of new molecule construction by fragment linking and merging. Root-mean-square deviation (rmsd) values were used to evaluate the conformational changes of the component fragments in the final compounds and to identify the potential leads as the main criteria. Furthermore, the successful validation of our strategy is presented on the basis of two relevant tumor targets (CDK2 and c-Met), demonstrating the potential of our strategy to facilitate lead discovery against some drug targets.

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Year:  2011        PMID: 21438547     DOI: 10.1021/ci200003c

Source DB:  PubMed          Journal:  J Chem Inf Model        ISSN: 1549-9596            Impact factor:   4.956


  3 in total

1.  Fragment-based strategy for structural optimization in combination with 3D-QSAR.

Authors:  Haoliang Yuan; Wenting Tai; Shihe Hu; Haichun Liu; Yanmin Zhang; Sihui Yao; Ting Ran; Shuai Lu; Zhipeng Ke; Xiao Xiong; Jinxing Xu; Yadong Chen; Tao Lu
Journal:  J Comput Aided Mol Des       Date:  2013-11-01       Impact factor: 3.686

2.  Pharmacophore modeling and virtual screening studies to identify new c-Met inhibitors.

Authors:  Wenting Tai; Tao Lu; Haoliang Yuan; Fengxiao Wang; Haichun Liu; Shuai Lu; Ying Leng; Weiwei Zhang; Yulei Jiang; Yadong Chen
Journal:  J Mol Model       Date:  2011-12-28       Impact factor: 1.810

3.  Fragment virtual screening based on Bayesian categorization for discovering novel VEGFR-2 scaffolds.

Authors:  Yanmin Zhang; Yu Jiao; Xiao Xiong; Haichun Liu; Ting Ran; Jinxing Xu; Shuai Lu; Anyang Xu; Jing Pan; Xin Qiao; Zhihao Shi; Tao Lu; Yadong Chen
Journal:  Mol Divers       Date:  2015-05-29       Impact factor: 2.943

  3 in total

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