Eskitis Institute for Drug Discovery, Griffith University, Brisbane, QLD 4111, Australia.
Nat Prod Rep. 2016 Mar;33(3):372-81. doi: 10.1039/c5np00121h. Epub 2016 Jan 7.
A diverse range of strategies leading to natural product derived or inspired screening libraries aims to increase the number of new chemical entities emerging per year. However, the use of isolated natural products as scaffolds for the semi-synthesis of larger biological screening libraries remains rare. This particular method avoids the time-consuming and resource intensive de novo synthetic strategy for scaffold production, and has become more feasible through improvements to synthetic and isolation methodologies. This Highlight examines the increasing popularity of small- to large-sized screening libraries generated directly from isolated natural products. Several of the examples detailed herein show how this strategy can lead to improvements in not only potency but also other important (and often forgotten) drug discovery parameters such as toxicity, selectivity, lipophilicity and bioavailability. However, there are still improvements to be made to this method, particularly in the choice of the natural product scaffold and the derivatising reagents used. Avoidance of known nuisance compounds or structural alert motifs (e.g. PAINS) that interfere with bioactivity screens, and impact downstream drug development will play a significant role in the future success of this methodology. Incorporation of rational design strategies that take into account the physicochemical parameters (e.g. log P, MW, HBA, HBD) of the final semi-synthetic library analogues will also facilitate the discovery and development of leads and drugs. A multi-pronged approach to drug discovery that incorporates the use of isolated natural product scaffolds for library generation will surely be beneficial.
各种各样的策略导致天然产物衍生或灵感筛选库旨在增加每年出现的新化学实体的数量。然而,将分离的天然产物用作更大的生物筛选库的半合成支架的用途仍然很少。这种特殊的方法避免了耗时且资源密集的支架生产的从头合成策略,并且通过改进合成和分离方法变得更加可行。本亮点考察了直接从分离的天然产物生成的从小型到大型筛选库的日益普及。本文详细介绍的几个示例表明,这种策略不仅可以提高药效,还可以提高其他重要的(通常被遗忘的)药物发现参数,如毒性、选择性、亲脂性和生物利用度。然而,这种方法仍有待改进,特别是在天然产物支架和衍生试剂的选择方面。避免已知的麻烦化合物或结构警报基序(例如 PAINS)干扰生物活性筛选,并影响下游药物开发,将在该方法的未来成功中发挥重要作用。纳入考虑最终半合成文库类似物的物理化学参数(例如 logP、MW、HBA、HBD)的合理设计策略也将有助于先导化合物和药物的发现和开发。将分离的天然产物支架用于文库生成的药物发现多管齐下的方法肯定会有所帮助。