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计算机模拟碳硼烷对接蛋白质和潜在药物靶标。

In silico carborane docking to proteins and potential drug targets.

机构信息

Dipartimento di Chimica G. Ciamician, Università di Bologna, Bologna, Italy.

出版信息

J Chem Inf Model. 2011 Aug 22;51(8):1882-96. doi: 10.1021/ci200216z. Epub 2011 Aug 8.

Abstract

The presence of boron atoms has made carboranes, C(2)B(10)H(12), attractive candidates for boron neutron capture therapy. Because of their chemistry and possible conjugation with proteins, they can also be used to enhance interactions between pharmaceuticals and their targets and to increase the in vivo stability and bioavailability of compounds that are normally metabolized rapidly. Carboranes are isosteric to a rotating phenyl group, which they can substitute successfully in biologically active systems. A reverse ligand-protein docking approach was used in this work to identify binding proteins for carboranes. The screening was carried out on the drug target database PDTD that contains 1207 entries covering 841 known potential drug targets with structures taken from the Protein Data Bank. First, for validation, the protocol was applied to three crystal structures of proteins in which carborane derivatives are present. Then, the model was applied to systems for which the protein structure is available, but the binding site of carborane has not been reported. These systems were used for further validation of the protocol, while simultaneously providing new insight into the interactions between cage and protein. Finally, the screening was carried out on the database to reveal potential carborane binding targets of interest for biological and pharmacological activity. Carboranes are predicted to bind well to protease and metalloprotease enzymes. Other carborane pharmaceutical targets are also discussed, together with possible protein carriers.

摘要

硼原子的存在使得碳硼烷,C(2)B(10)H(12),成为硼中子俘获治疗的有吸引力的候选物。由于它们的化学性质和可能与蛋白质的共轭,它们也可以用于增强药物与其靶标的相互作用,并增加通常快速代谢的化合物的体内稳定性和生物利用度。碳硼烷与旋转的苯基基团是等电子体,它们可以成功地替代生物活性系统中的苯基基团。在这项工作中,使用了反向配体-蛋白质对接方法来识别碳硼烷的结合蛋白。筛选是在药物靶标数据库 PDTD 上进行的,该数据库包含 1207 个条目,涵盖了 841 个已知的潜在药物靶标,其结构取自蛋白质数据库。首先,为了验证,该方案应用于三个含有碳硼烷衍生物的蛋白质晶体结构。然后,将模型应用于蛋白质结构可用但尚未报道碳硼烷结合位点的系统。这些系统用于进一步验证该方案,同时提供了对笼状化合物和蛋白质之间相互作用的新见解。最后,对数据库进行筛选,以揭示具有生物学和药理学活性的潜在碳硼烷结合靶标。预测碳硼烷能够很好地与蛋白酶和金属蛋白酶结合。还讨论了其他碳硼烷药物靶标以及可能的蛋白质载体。

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