Department of Life Science Informatics, B-IT, LIMES Program Unit Chemical Biology and Medicinal Chemistry, Rheinische Friedrich-Wilhelms-Universität, Endenicher Allee 19c, D-53115, Bonn, Germany.
Department of Life Science Informatics, B-IT, LIMES Program Unit Chemical Biology and Medicinal Chemistry, Rheinische Friedrich-Wilhelms-Universität, Endenicher Allee 19c, D-53115, Bonn, Germany.
Eur J Med Chem. 2020 Dec 1;207:112846. doi: 10.1016/j.ejmech.2020.112846. Epub 2020 Sep 16.
In medicinal chemistry, activity cliffs (ACs) are considered as sources of critical structure-activity relationship (SAR) information. ACs are capable of revealing such SAR information because they are formed by pairs or groups of structural analogs that are distinguished by small chemical modifications leading to large variations in compound potency. Such modifications can reveal critically important substitution sites in analog series. Small AC-encoded chemical changes enable the identification of SAR determinants. In this work, we have searched medicinal chemistry data for most "subtle" ACs in which participating compounds are only distinguished by single-atom modifications. These ACs can be directly associated with lead optimization strategies such as positional atom scanning (atom "walks") or heteroatom replacements in ring structures. More than 1500 of these ACs with activity against a variety of targets were identified. To further explore newly identified ACs, we searched for X-ray structures of ligand-target complexes containing participating AC compounds. For a subset of subtle ACs, X-ray structures of complexes made it possible to examine effects of single-atom changes in light of well-defined ligand-target interactions. Since ACs capturing minimal chemical changes are of particular interest for lead optimization and drug design, we make all newly identified ACs and associated structural information freely available as an open access deposition.
在药物化学中,活性悬崖(AC)被认为是关键结构-活性关系(SAR)信息的来源。AC 能够揭示这种 SAR 信息,因为它们是由一对或多组结构类似物组成的,这些类似物通过导致化合物效力发生大变化的微小化学修饰来区分。这种修饰可以揭示类似物系列中至关重要的取代位点。微小的 AC 编码化学变化可以确定 SAR 决定因素。在这项工作中,我们在药物化学数据中搜索了大多数“微妙”的 AC,其中参与的化合物仅通过单原子修饰来区分。这些 AC 可以直接与先导优化策略相关联,例如位置原子扫描(原子“行走”)或环状结构中的杂原子替换。我们识别了超过 1500 个针对各种靶标的具有活性的这些 AC。为了进一步探索新发现的 AC,我们搜索了含有参与 AC 化合物的配体-靶标复合物的 X 射线结构。对于一小部分微妙的 AC,X 射线结构的复合物使我们能够根据明确的配体-靶标相互作用来检查单原子变化的影响。由于捕捉最小化学变化的 AC 对先导优化和药物设计特别感兴趣,因此我们将所有新发现的 AC 及其相关结构信息作为开放访问的存款免费提供。