DeepCubist:基于复杂三维支架设计肽模拟物的分子生成器

IF 4.3 3区 材料科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC ACS Applied Electronic Materials Pub Date : 2022-12-03 DOI:10.1007/s10822-022-00493-y
Kohei Umedera, Atsushi Yoshimori, Hengwei Chen, Hiroyuki Kouji, Hiroyuki Nakamura, Jürgen Bajorath
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引用次数: 1

摘要

用小分子模拟参与蛋白质-蛋白质界面形成的肽段的生物活性构象被认为是设计蛋白质-蛋白质相互作用(PPI)抑制剂的一种有前途的策略。对于化合物设计,使用富含sp3中心的三维(3D)支架可以精确模拟生物活性肽的构象。在此,我们介绍了DeepCubist,一个分子生成器,用于设计基于3D支架的肽模拟物。首先,将列举的3D支架叠加在目标肽构象上,以确定设计拟肽物的首选模板结构。其次,通过深度生成模型将杂原子和不饱和键引入模板中,生成候选化合物;DeepCubist被应用于设计参与PPIs的药物靶点的示范性肽转、螺旋和环结构的肽模拟物。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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DeepCubist: Molecular Generator for Designing Peptidomimetics based on Complex three-dimensional scaffolds

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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CiteScore
7.20
自引率
4.30%
发文量
567
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