Suppr超能文献

用于治疗应用的大环化合物的自动化设计:从小分子到肽和蛋白质。

Automated Design of Macrocycles for Therapeutic Applications: From Small Molecules to Peptides and Proteins.

机构信息

Schrodinger, Inc., 120 West 45th Street, New York, New York 10036, United States.

Integrated Drug Discovery, Sanofi-Aventis Deutschland GmbH, Industriepark Hoechst, 65926 Frankfurt am Main, Germany.

出版信息

J Med Chem. 2020 Oct 22;63(20):12100-12115. doi: 10.1021/acs.jmedchem.0c01500. Epub 2020 Oct 5.

Abstract

Macrocycles and cyclic peptides are increasingly attractive therapeutic modalities as they often have improved affinity, are able to bind to extended protein surfaces, and otherwise have favorable properties. Macrocyclization of a known binder may stabilize its bioactive conformation and improve its metabolic stability, cell permeability, and in certain cases oral bioavailability. Herein, we present implementation and application of an approach that automatically generates, evaluates, and proposes cyclizations utilizing a library of well-established chemical reactions and reagents. Using the three-dimensional (3D) conformation of the linear molecule in complex with a target protein as the starting point, this approach identifies attachment points, generates linkers, evaluates their geometric compatibility, and ranks the resulting molecules with respect to their predicted conformational stability and interactions with the target protein. As we show here with prospective and retrospective case studies, this procedure can be applied for the macrocyclization of small molecules and peptides and even PROteolysis TArgeting Chimeras (PROTACs) and proteins.

摘要

大环化合物和环肽作为治疗模式越来越具有吸引力,因为它们通常具有更高的亲和力,能够与扩展的蛋白质表面结合,并且具有其他有利的性质。已知配体的环化可以稳定其生物活性构象并提高其代谢稳定性、细胞通透性,在某些情况下还可以提高口服生物利用度。本文介绍了一种方法的实施和应用,该方法利用一系列成熟的化学反应和试剂自动生成、评估和提出环化方案。该方法以与靶蛋白结合的线性分子的三维(3D)构象作为起点,确定连接点,生成连接子,评估其几何兼容性,并根据预测的构象稳定性和与靶蛋白的相互作用对所得分子进行排序。正如我们在这里通过前瞻性和回顾性案例研究所示,该程序可用于小分子和肽的大环化,甚至可用于 PROteolysis TArgeting Chimeras(PROTACs)和蛋白质。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验