Department of Chemistry, McGill University , 801 Sherbrooke Street W., Montréal, Québec, Canada H3A 0B8.
J Chem Inf Model. 2017 Mar 27;57(3):454-467. doi: 10.1021/acs.jcim.6b00648. Epub 2017 Mar 9.
Screening large libraries of chemicals has been an efficient strategy to discover bioactive compounds; however a portion of the potential for success is limited to the available libraries. Synergizing combinatorial and computational chemistries has emerged as a time-efficient strategy to explore the chemical space more widely. Ideally, streamlining the evaluation process for larger, feasible chemical libraries would become commonplace. Thus, combinatorial tools and, for example, docking methods would be integrated to identify novel bioactive entities. The idea is simple in nature, but much more complex in practice; combinatorial chemistry is more than the coupling of chemicals into products: synthetic feasibility includes chemoselectivity, stereoselectivity, protecting group chemistry, and chemical availability which must all be considered for combinatorial library design. In addition, intuitive interfaces and simple user manipulation is key for optimal use of such tools by organic chemists-crucial for the integration of such software in medicinal chemistry laboratories. We present herein Finders and React2D-integrated into the Virtual Chemist platform, a modular software suite. This approach enhances virtual combinatorial chemistry by identifying available chemicals compatible with a user-defined chemical transformation and by carrying out the reaction leading to libraries of realistic, synthetically accessible chemicals-all with a completely automated, black-box, and efficient design. We demonstrate its utility by generating ∼40 million synthetically accessible, stereochemically accurate compounds from a single library of 100 000 purchasable molecules and 56 well-characterized chemical reactions.
筛选大量的化学物质库一直是发现生物活性化合物的有效策略;然而,成功的潜力在一定程度上受到可用文库的限制。组合化学和计算化学的协同作用已经成为一种更有效地探索化学空间的策略。理想情况下,简化更大、可行的化学文库的评估过程将成为常态。因此,组合工具和,例如,对接方法将被整合以识别新的生物活性实体。这个想法本质上很简单,但实际上要复杂得多;组合化学不仅仅是将化学物质偶联成产物:合成可行性包括化学选择性、立体选择性、保护基团化学和化学可用性,这些都必须在组合库设计中考虑。此外,直观的界面和简单的用户操作对于有机化学家最佳使用这些工具至关重要——对于在药物化学实验室中集成此类软件至关重要。我们在此介绍 Finders 和 React2D,它们集成到了 Virtual Chemist 平台中,这是一个模块化软件套件。这种方法通过识别与用户定义的化学转化兼容的可用化学物质,并进行反应,从而生成现实的、可合成的化学物质文库,从而增强虚拟组合化学,所有这些都采用完全自动化、黑盒和高效的设计。我们通过从一个包含 100,000 个可购买分子和 56 个特征明确的化学反应的单一文库中生成约 4000 万个具有立体化学准确性的可合成化合物,证明了其用途。