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Core site-moiety maps reveal inhibitors and binding mechanisms of orthologous proteins by screening compound libraries.
Hsu, Kai-Cheng; Cheng, Wen-Chi; Chen, Yen-Fu; Wang, Hung-Jung; Li, Ling-Ting; Wang, Wen-Ching; Yang, Jinn-Moon.
Afiliação
  • Hsu KC; Institute of Bioinformatics and Systems Biology, National Chiao Tung University, Hsinchu, Taiwan.
PLoS One ; 7(2): e32142, 2012.
Article em En | MEDLINE | ID: mdl-22393385
ABSTRACT
Members of protein families often share conserved structural subsites for interaction with chemically similar moieties despite low sequence identity. We propose a core site-moiety map of multiple proteins (called CoreSiMMap) to discover inhibitors and mechanisms by profiling subsite-moiety interactions of immense screening compounds. The consensus anchor, the subsite-moiety interactions with statistical significance, of a CoreSiMMap can be regarded as a "hot spot" that represents the conserved binding environments involved in biological functions. Here, we derive the CoreSiMMap with six consensus anchors and identify six inhibitors (IC(50)<8.0 µM) of shikimate kinases (SKs) of Mycobacterium tuberculosis and Helicobacter pylori from the NCI database (236,962 compounds). Studies of site-directed mutagenesis and analogues reveal that these conserved interacting residues and moieties contribute to pocket-moiety interaction spots and biological functions. These results reveal that our multi-target screening strategy and the CoreSiMMap can increase the accuracy of screening in the identification of novel inhibitors and subsite-moiety environments for elucidating the binding mechanisms of targets.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Biologia Computacional Tipo de estudo: Diagnostic_studies / Prognostic_studies / Screening_studies Idioma: En Revista: PLoS One Assunto da revista: CIENCIA / MEDICINA Ano de publicação: 2012 Tipo de documento: Article País de afiliação: Taiwan

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Biologia Computacional Tipo de estudo: Diagnostic_studies / Prognostic_studies / Screening_studies Idioma: En Revista: PLoS One Assunto da revista: CIENCIA / MEDICINA Ano de publicação: 2012 Tipo de documento: Article País de afiliação: Taiwan