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Computer-Assisted, Structure-Based Prediction of Substrates for Cytochrome P450_(cam)

机译:计算机辅助基于结构的细胞色素P450_(cam)的预测

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摘要

Cytochrome P450 enzymes catalyze an impressive array of oxidative transformations, but the factors that determine their substrate specificities are poorly understood. The ability to predict whether a molecule would be a substrate from knowledge of the active site structure and an understanding of the factors that determine substrate specificity are critical if new activities and specificities are to be engineered into P450 enzymes by mutagenesis. In addition, elucidation of the factors that determine substrate specificity is required to understand, predict, and attempt to modulate the physiological metabolism of Pharmaceuticals and other xenobiotics. We report here successful use of a computer-based docking program to predict whether compounds entirely unrelated to camphor are substrates for Cytochrome P450_(cam), a protein that normally oxidizes camphor and for which a crystal structure is available.
机译:细胞色素P450酶催化一系列令人印象深刻的氧化转化,但决定其底物特异性的因素知之甚少。如果要通过诱变将新的活性和特异性工程化为P450酶,那么从对活性位点结构的了解以及对确定底物特异性的因素的理解中预测分子是否为底物的能力至关重要。另外,需要阐明决定底物特异性的因素,以理解,预测和尝试调节药物和其他异种生物的生理代谢。我们在这里报告成功使用基于计算机的对接程序来预测与樟脑完全不相关的化合物是否为细胞色素P450_(cam)的底物,细胞色素P450_(cam)通常会氧化樟脑,并且具有晶体结构。

著录项

  • 来源
    《Journal of the American Chemical Society》 |1995年第14期|p.4185-4186|共2页
  • 作者单位

    Department of Pharmaceutical Chemistry School of Pharmacy, University of California San Francisco, California 94143-0446;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 化学;
  • 关键词

  • 入库时间 2022-08-18 03:26:20

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