Quantitative structure–property relationships in pharmaceutical research – Part 1

Manish Grover , Bhupinder Singh , Monika Bakshi , Saranjit Singh
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引用次数: 109

Abstract

Quantitative structure–activity relationships (QSAR) have been applied for decades in the development of new drugs. Although a QSAR does not completely eliminate the trial and error factor involved in the development of a new drug, it certainly decreases the number of compounds synthesized by facilitating the selection of the most promising examples. The success of QSAR has tempted scientists, particularly in the pharmaceutical arena, to investigate relationships of molecular parameters with properties other than activity. The purpose of this two-part review is to provide a broad overview of the development of quantitative structure–property relationships (QSPR) and review the applications in pharmaceutical research. Part one discusses the advantages and limitations of QSPR, and various types of structural descriptors and properties, together with techniques to establish correlations between the two.

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药物研究中的定量结构-性质关系。第1部分
定量构效关系(QSAR)在新药开发中的应用已有几十年的历史。虽然QSAR不能完全消除新药开发过程中的试验和错误因素,但它肯定会通过促进最有希望的例子的选择来减少合成化合物的数量。QSAR的成功吸引了科学家,特别是制药领域的科学家,研究分子参数与活性以外的性质之间的关系。本文将对定量结构-性质关系(QSPR)的发展进行综述,并对其在药物研究中的应用进行综述。第一部分讨论了QSPR的优点和局限性,以及各种类型的结构描述符和属性,以及在两者之间建立相关性的技术。
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