BuildQSAR:一个新的QSAR分析计算机程序

Daniel Oliveira, A. C. Gaudio
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引用次数: 159

摘要

一个名为BuildQSAR的新计算机程序已经被设计出来,以帮助QSAR从业者通过回归分析建立和分析定量模型。该程序的主要部分是电子表格,用户可以在其中输入由化合物的结构定义、一种或多种生物活性值和许多物理化学性质组成的数据集。该程序有一个外部数据库,其中包括许多已知取代基参数的值。该程序可以执行的常见任务有:(a)线性、二次和双线性模型;(b)图形分析;(c)相关性分析;(d)假设检验。BuildQSAR还可以:(e)构建数据集的子集,其中包括用户选择的化合物组;(f)创建由现有变量衍生的新变量,并创建多种类型的指标变量;(g)通过选择取代基及其变量,直接从数据库中构建数据集;(h)通过系统搜索和遗传算法进行变量选择;(i)对特定模型进行交叉验证;(j)剔除异常值并分析所得模型;和其他人。该程序是用Delphi 5编写的,在Windows 95/98/00/NT环境下运行。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
BuildQSAR: A New Computer Program for QSAR Analysis
A new computer program called BuildQSAR has been designed to help the QSAR practitioner on the task of building and analyzing quantitative models through regression analysis. The main part of the program is a spreadsheet, in which the user can enter with the data set composed by the structure definition of the compounds, one or more types of biological activity values and many physicochemical properties. The program has an external data bank, which includes the values of many known substituent parameters. The common tasks that can be performed by the program are: (a) linear, quadratic and bilinear models; (b) graphics analysis; (c) correlation analysis and; (d) hypothesis testing. BuildQSAR can also: (e) build subsets of the data set that include groups of compounds chosen by the user; (f) create new variables, derived from the existing ones, and create many types of indicator variables; (g) build data sets directly from the data bank by selecting the substituents and the variables therein; (h) perform variable selection by systematic search and genetic algorithm; (i) perform cross-validation of specific models; (j) eliminate outliers and analyze the resulting model; and others. The program was coded in Delphi 5 and runs in Windows 95/98/00/NT environments.
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