Schneider Gisbert
Drug Discov Today Technol. 2013 Dec;10(4):e453-60. doi: 10.1016/j.ddtec.2012.06.001.
Current trends in computational de novo design provide a fresh approach to 'scaffold-hopping' in drug discovery. The methodological repertoire is no longer limited to receptor-based methods, but specifically ligand-based techniques that consider multiple properties in parallel, including the synthetic feasibility of the computer-generated molecules and their polypharmacology, provide innovative ideas for the discovery of new chemical entities. The concept of fragment-based and virtual reaction-driven design enables rapid compound optimization from scratch with a manageable complexity of the search. Starting from known drugs as a reference, such algorithms suggest drug-like molecules with motivated scaffold variations, and advanced mathematical models of structure-activity landscapes and multi-objective design techniques have created new opportunities for hit and lead finding.
计算从头设计的当前趋势为药物发现中的“骨架跃迁”提供了一种全新的方法。方法库不再局限于基于受体的方法,特别是基于配体的技术,该技术同时考虑多种性质,包括计算机生成分子的合成可行性及其多药理学,为新化学实体的发现提供了创新思路。基于片段和虚拟反应驱动的设计概念能够从零开始快速优化化合物,同时搜索的复杂度可控。以已知药物为参考,此类算法可提出具有合理骨架变化的类药物分子,结构-活性景观的先进数学模型和多目标设计技术为发现活性化合物和先导化合物创造了新机会。