Larsson Josefin, Gottfries Johan, Muresan Sorel, Backlund Anders
Division of Pharmacognosy, Department of Medicinal Chemistry, BMC, Uppsala University, Box 574, S-751 23 Uppsala, Sweden.
J Nat Prod. 2007 May;70(5):789-94. doi: 10.1021/np070002y. Epub 2007 Apr 18.
Natural compounds are evolutionary selected and prevalidated by Nature, displaying a unique chemical diversity and a corresponding diversity of biological activities. These features make them highly interesting for studies of chemical biology, and in the pharmaceutical industry for development of new leads. Of utmost importance, for the discovery of new biologically active compounds, is the identification and charting of the corresponding biologically relevant chemical space. The primary key to this is the coverage of the natural products' chemical space. Here we introduce ChemGPS-NP, a new tool tuned for handling the chemical diversity encountered in natural products research, in contrast to previous tools focused on the much more restricted drug-like chemical space. The aim is to provide a framework for making compound classification and comparison more efficient and stringent, to identify volumes of chemical space related to particular biological activities, and to track changes in chemical properties due to, for example, evolutionary traits and modifications in biosynthesis. Physical-chemical properties not directly discernible from structural data can be discovered, making selection more efficient and increasing the probability of hit generation when screening natural compounds and analogues.
天然化合物是经过自然进化选择并预先验证的,展现出独特的化学多样性以及相应的生物活性多样性。这些特性使它们在化学生物学研究以及制药行业开发新先导化合物方面极具吸引力。对于发现新的生物活性化合物而言,最为重要的是识别并描绘出相应的具有生物学相关性的化学空间。实现这一目标的首要关键在于覆盖天然产物的化学空间。在此,我们引入了ChemGPS-NP,这是一种经过优化的新工具,用于处理天然产物研究中遇到的化学多样性,与以往专注于更为受限的类药化学空间的工具形成对比。其目的是提供一个框架,使化合物分类和比较更高效、更严格,识别与特定生物活性相关的化学空间区域,并追踪由于例如进化特征和生物合成修饰等导致的化学性质变化。能够发现从结构数据中无法直接识别的物理化学性质,从而在筛选天然化合物及其类似物时使选择更高效,并增加产生命中化合物的概率。