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Pharmacophore anchor models of ATAT1 to discover potential inhibitors and lead optimization.
Hsu, Nung-Yu; Pathak, Nikhil; Chen, Yun-Ti; Hsu, Yen-Chao; Yang, Jinn-Moon.
Afiliação
  • Hsu NY; Institute of Bioinformatics and Systems Biology, National Chiao Tung University, Hsinchu, 30050, Taiwan; Department of Biological Science and Technology, National Chiao Tung University, Hsinchu, 30050, Taiwan.
  • Pathak N; TIGP-Bioinformatics, Institute of Information Science, Academia Sinica, Taipei, 115, Taiwan; Institute of Bioinformatics and Structural Biology, National Tsing Hua University, Hsinchu, Taiwan.
  • Chen YT; Institute of Bioinformatics and Systems Biology, National Chiao Tung University, Hsinchu, 30050, Taiwan; Department of Biological Science and Technology, National Chiao Tung University, Hsinchu, 30050, Taiwan.
  • Hsu YC; Institute of Bioinformatics and Systems Biology, National Chiao Tung University, Hsinchu, 30050, Taiwan; Department of Biological Science and Technology, National Chiao Tung University, Hsinchu, 30050, Taiwan.
  • Yang JM; Institute of Bioinformatics and Systems Biology, National Chiao Tung University, Hsinchu, 30050, Taiwan; Department of Biological Science and Technology, National Chiao Tung University, Hsinchu, 30050, Taiwan. Electronic address: moon@faculty.nctu.edu.tw.
Comput Biol Chem ; 93: 107513, 2021 Aug.
Article em En | MEDLINE | ID: mdl-34052673
Post-translation modification of microtubules is associated with many diseases like cancer. Alpha Tubulin Acetyltransferase 1 (ATAT1) is a major enzyme that acetylates 'Lys-40' in alpha-tubulin on the luminal side of microtubules and is a drug target that lacks inhibitors. Here, we developed pharmacophore anchor models of ATAT1 which were constructed statistically using thousands of docked compounds, for drug design and investigating binding mechanisms. Our models infer the compound moiety preferences with the physico-chemical properties for the ATAT1 binding site. The results from the pharmacophore anchor models show the three main sub-pockets, including S1 acetyl site, S2 adenine site, and S3 diphosphate site with anchors, where conserved moieties interact with respective sub-pocket residues in each site and help in guiding inhibitor discovery. We validated these key anchors by analyzing 162 homologous protein sequences (>99 species) and over 10 structures with various bound ligands and mutations. Our results were consistent with previous works also providing new interesting insights. Our models applied in virtual screening predicted several ATAT1 potential inhibitors. We believe that our model is useful for future inhibitor discovery and for guiding lead optimization.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Acetiltransferases / Inibidores Enzimáticos / Simulação de Acoplamento Molecular / Proteínas dos Microtúbulos Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Comput Biol Chem Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Acetiltransferases / Inibidores Enzimáticos / Simulação de Acoplamento Molecular / Proteínas dos Microtúbulos Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Comput Biol Chem Ano de publicação: 2021 Tipo de documento: Article