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用于药物设计程序的大量合成可及化合物的多样性空间。

A very large diversity space of synthetically accessible compounds for use with drug design programs.

作者信息

Nikitin Sergey, Zaitseva Natalia, Demina Olga, Solovieva Vera, Mazin Evgeny, Mikhalev Sergey, Smolov Maxim, Rubinov Anatoly, Vlasov Peter, Lepikhin Dmitry, Khachko Denis, Fokin Valery, Queen Cary, Zosimov Viktor

机构信息

Algodign LLC, Bolshaya Sadovaya 8, Moscow 103001, Russia.

出版信息

J Comput Aided Mol Des. 2005 Jan;19(1):47-63. doi: 10.1007/s10822-005-0097-6.

Abstract

We have constructed a very large virtual diversity space containing more than 10(13) chemical compounds. The diversity space is built from about 400 combinatorial libraries, which have been expanded by choosing sizeable collections of suitable R-groups that can be attached to each link point of their scaffolds. These R-group collections have been created by selecting reagents that have drug-like properties from catalogs of available chemicals. As members of known combinatorial libraries, the compounds in the diversity space are in general synthetically accessible and useful as potential drug leads. Hence, the diversity space can be used as a vast source of compounds by a de novo drug design program. For example, we have used such a program to generate inhibitors of HIV integrase enzyme that exhibited activity in the micromolar range.

摘要

我们构建了一个非常大的虚拟多样性空间,其中包含超过10的13次方种化合物。该多样性空间由约400个组合文库构建而成,这些文库通过选择大量合适的R基团进行扩展,这些R基团可以连接到其支架的每个连接点。这些R基团集合是通过从可用化学品目录中选择具有类药物性质的试剂创建的。作为已知组合文库的成员,多样性空间中的化合物通常在合成上是可获取的,并且可作为潜在的药物先导物。因此,多样性空间可被从头药物设计程序用作大量化合物的来源。例如,我们使用这样一个程序来生成在微摩尔范围内具有活性的HIV整合酶抑制剂。

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