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Improving the odds of success in antitumoral drug development using scoring approaches towards heterocyclic scaffolds

机译:使用对杂环支架的评分方法提高抗肿瘤药物开发成功的几率

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摘要

One of the most commonly discussed topics in the field of drug discovery is the continuous search for anticancer therapies, in which small-molecule development plays an important role. Although a number of techniques have been established over the past decades, one of the main methods for drug discovery and development is still represented by rational, ligand-based drug design. However, the success rate of this method could be higher if not affected by cognitive bias, which renders many potential druggable scaffolds and structures overlooked. The present study aimed to counter this bias by presenting an objective overview of the most important heterocyclic structures in the development of anti-proliferative drugs. As such, the present study analyzed data for 91,438 compounds extracted from the Developmental Therapeutics Program (DTP) database provided by the National Cancer Institute. Growth inhibition data from these compounds tested on a panel of 60 cancer cell lines representing various tissue types (NCI-60 panel) was statistically interpreted using 6 generated scores assessing activity, selectivity, growth inhibition efficacy and potency of different structural scaffolds, Bemis-Murcko skeletons, chemical features and structures common among the analyzed compounds. Of the most commonly used rings, the most prominent anti-proliferative effects were produced by quinoline, tetrahydropyran, benzimidazole and pyrazole, while overall, the optimal results were produced by complex ring structures that originate from natural compounds. These results highlight the impact of certain ring structures on the anti-proliferative effects in drug design. In addition, considering that medicinal chemists usually focus their research on simpler scaffolds the majority of the time with no significant pay-off, the present study indicates several unused complex scaffolds that could be exploited when designing anticancer therapies for optimal results in the fight against cancer.
机译:药物发现领域中最常讨论的主题之一是不断寻找抗癌疗法,其中小分子的发展起着重要的作用。尽管在过去的几十年中已经建立了许多技术,但是用于药物发现和开发的主要方法之一仍然以合理的基于配体的药物设计为代表。但是,如果不受认知偏见的影响,此方法的成功率可能更高,这使得许多潜在的药物支架和结构被忽略了。本研究旨在通过提出抗增殖药物开发中最重要的杂环结构的客观概述来应对这种偏见。因此,本研究分析了从国家癌症研究所提供的发展治疗计划(DTP)数据库中提取的91,438种化合物的数据。使用6个产生的评分来统计解释来自在一组代表各种组织类型的60种癌细胞系(NCI-60组)上测试的这些化合物的生长抑制数据,这些得分评估了不同结构支架Bemis-Murcko的活性,选择性,生长抑制功效和效力被分析化合物共有的骨架,化学特征和结构。在最常用的环中,最突出的抗增殖作用是由喹啉,四氢吡喃,苯并咪唑和吡唑产生的,而总的来说,最佳结果是由天然化合物产生的复杂环结构产生的。这些结果突出了某些环结构对药物设计中抗增殖作用的影响。此外,考虑到药物化学家通常将大部分时间都集中在简单的支架上而没有明显的收益,因此本研究表明,在设计抗癌疗法以获得抗癌最佳效果时,可以利用几种未使用的复杂支架。 。

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