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DeepCubist: Molecular Generator for Designing Peptidomimetics based on Complex three-dimensional scaffolds.
Umedera, Kohei; Yoshimori, Atsushi; Chen, Hengwei; Kouji, Hiroyuki; Nakamura, Hiroyuki; Bajorath, Jürgen.
Afiliação
  • Umedera K; School of Life Science and Technology, Tokyo Institute of Technology, 4259, Nagatsuta-cho, Midori-ku, 226-8503, Yokohama, Japan.
  • Yoshimori A; Department of Life Science Informatics, LIMES Program Unit Chemical Biology and Medicinal Chemistry, B-IT, Rheinische Friedrich-Wilhelms-Universität, Friedrich-Hirzebruch-Allee 5/6, D-53115, Bonn, Germany.
  • Chen H; Institute for Theoretical Medicine, Inc, 26-1, Muraoka-Higashi 2-chome, 251-8555, Fujisawa, Kanagawa, Japan.
  • Kouji H; Department of Life Science Informatics, LIMES Program Unit Chemical Biology and Medicinal Chemistry, B-IT, Rheinische Friedrich-Wilhelms-Universität, Friedrich-Hirzebruch-Allee 5/6, D-53115, Bonn, Germany.
  • Nakamura H; Oita University Institute of Advanced Medicine, Inc, 17-20, Higashi Kasuga-machi, 870-0037, Oita City, Oita, Japan.
  • Bajorath J; School of Life Science and Technology, Tokyo Institute of Technology, 4259, Nagatsuta-cho, Midori-ku, 226-8503, Yokohama, Japan. hiro@res.titech.ac.jp.
J Comput Aided Mol Des ; 37(2): 107-115, 2023 02.
Article em En | MEDLINE | ID: mdl-36462089
ABSTRACT
Mimicking bioactive conformations of peptide segments involved in the formation of protein-protein interfaces with small molecules is thought to represent a promising strategy for the design of protein-protein interaction (PPI) inhibitors. For compound design, the use of three-dimensional (3D) scaffolds rich in sp3-centers makes it possible to precisely mimic bioactive peptide conformations. Herein, we introduce DeepCubist, a molecular generator for designing peptidomimetics based on 3D scaffolds. Firstly, enumerated 3D scaffolds are superposed on a target peptide conformation to identify a preferred template structure for designing peptidomimetics. Secondly, heteroatoms and unsaturated bonds are introduced into the template via a deep generative model to produce candidate compounds. DeepCubist was applied to design peptidomimetics of exemplary peptide turn, helix, and loop structures in pharmaceutical targets engaging in PPIs.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Peptidomiméticos Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Peptidomiméticos Idioma: En Ano de publicação: 2023 Tipo de documento: Article