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计算机模拟预测代谢:一种结构/电子过滤方法。

In silico predictive metabolism: a structural/electronic filter method.

作者信息

Harris Danni L

机构信息

Molecular Research Institute, 2495 Old Middlefield Way, Mountain View, CA 94043, USA.

出版信息

Curr Opin Drug Discov Devel. 2004 Jan;7(1):43-8.

Abstract

This article reviews recent progress in our current fundamental understanding of structure, mechanism and metabolism of cytochrome P450s, the principal enzymatic system involved in phase I metabolism, with the aim of critically appraising the potential of in silico predictive metabolism based on CYP450 structure, CYP450-drug configuration sampling, and accurate quantum chemical determinants of the rate limiting steps of drug metabolism. Such an approach does not rely on training sets or multivariate statistical approaches. The latter approaches have been comprehensively described in a review by Wilson et al (Curr Opin Drug Discovery Dev (2003) 6(1):123-128).

摘要

本文综述了我们目前对细胞色素P450s的结构、机制和代谢的基本理解方面的最新进展,细胞色素P450s是参与I相代谢的主要酶系统,目的是批判性地评估基于CYP450结构、CYP450-药物构型采样以及药物代谢限速步骤的精确量子化学决定因素的计算机预测代谢的潜力。这种方法不依赖于训练集或多元统计方法。后者已在Wilson等人的一篇综述中进行了全面描述(《药物发现与开发的当前观点》(2003年)6(1):123-128)。

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