Suppr超能文献

基于计算机的协同性和变构效应学习。

Computer-based learning of cooperativity and allostery.

作者信息

Franco R, Canela E I

机构信息

Department of Biochemistry, Faculty of Chemistry, University of Barcelona, Catalunya, Spain.

出版信息

Comput Appl Biosci. 1985 Sep;1(3):161-5. doi: 10.1093/bioinformatics/1.3.161.

Abstract

The aim of this article is to facilitate the understanding of enzyme cooperativity and allostery by undergraduate and postgraduate students with the aid of a graphic microcomputer. For this purpose the molecular models of Monod-Wyman-Changeux (MWC) and of Koshland-Nemethy-Filmer (KNF) are tested by showing how the different plots, direct, reciprocal, Scatchard and Hill, vary as do the parameters considered in these models. The programs used (one for each model) progress from easy aspects to complicated ones without the intervention of the user (student). Nevertheless, ultimately, with the MWC model, after the introduction of heterotropic effectors, the users can select the parameters in order to further their knowledge. This can be useful also for testing the kinetic behavior of multisubunit enzymes which present cooperativity and which have been extensively described in the literature.

摘要

本文旨在借助图形微机,帮助本科生和研究生理解酶的协同性和别构效应。为此,通过展示不同的曲线(直接、倒数、斯卡查德和希尔曲线)以及这些模型中所考虑的参数如何变化,来测试莫诺德 - 怀曼 - 尚热(MWC)模型和科什兰德 - 内梅蒂 - 菲尔默(KNF)模型的分子模型。所使用的程序(每个模型一个)在无需用户(学生)干预的情况下,从简单方面逐步推进到复杂方面。然而,最终对于MWC模型,在引入异促效应剂后,用户可以选择参数以增进他们的知识。这对于测试具有协同性且在文献中已有广泛描述的多亚基酶的动力学行为也可能是有用的。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验