化学计量学在分析化学中的应用

从化学定量构效关系、模式识别法、人工神经网络、波谱化学、多元校正分析法等方面对化学计量学在分析化学中的应用进行了综述。阐明了化学计量学在分析化学中的作用及广阔的应用前景。     

化学计量学在我国的发展

评述了化学计量学在我国近年来的发展,包括多元校正与分辨、稳健方法、化学模式识别、化学定量构效关系、分子模拟与优化、化学专家系统与库主要分支,其中特别对近年来得到飞速发展的新技术如高维数据解析方法,人工神经网络、小波变换给出了较详细的介绍。     

多肽定量构效关系与分子设计

综述了多肽定量构效关系和计算机辅助多肽分子设计方法的最新进展,重点介绍了多肽定量构效关系研究中的化学结构定量描述符和建立数学模型的统计方法,并对模拟肽学和虚拟组合多肽库在多肽分子设计中的应用进行了简要的论述.     

分析化学计量学

本文是《分析试验室》第五篇“分析化学计量学”专题定期评述文章。评述了１９９７年１月至１９９８年１２月我国分析化学计量学的主要进展。内容涉及统计学与统计方法、试验设计与优化、分析信号处理、多元校正、化学模式识别、定量构效关系（ＱＳＡＲ）、数据库及专家系统、化学计量学教学等方面,共引用文献１６８篇。     

定量构效关系研究进展

本文综述了定量构效关系及化学模式识别的研究与进展。     

一类新型N型钙通道阻滞剂的比较定量构效关系研究

使用结构和量子化学参数对一系列N取代N-甲基二肽衍生物的N型钙通道阻滞活性进行了定量构效关系研究, 并使用SOMFA方法建立了三维定量构效关系模型. 结果表明分子的范德华体积和最低未占据轨道能量是影响化合物生物活性的主要因素. N原子上取代基的溶剂可及面积也对化合物的钙通道阻滞活性有重要影响. 三维定量构效关系模型进一步支持了以上结果. 这些研究结果可为设计更高活性的N型钙通道阻滞剂提供有价值的参考信息.     

Combretastatins类微管蛋白抑制剂的定量构效关系与结合模式

以Combretastatins的B环改造化合物为研究对象, 采用遗传函数分析方法进行了二维定量构效关系研究. 研究结果表明, Apol, PMI-mag, Dipole-mag, Hbond donor和RadOfGyration等描述符对该系列抑制剂活性的贡献最大. 采用比较分子场分析方法(CoMFA)和比较分子相似因子分析方法(CoMSIA)进行了三维定量构效关系研究, 建立的CoMFA和CoMSIA模型的交叉验证相关系数q2分别为0.630和0.634, 具有较强的预测能力. 利用CoMFA和CoMSIA模型的三维等势图解析了Combretastatins类化合物的构效关系, 阐明了B环上各取代基对抑制微管蛋白聚合活性的影响, 同时应用分子对接方法分析并验证了定量构效关系模型.     

多维定量构效关系及药物分子设计研究进展

本文介绍并综述超分子化学，多维定量构效关系及药物分子设计的发展概况与研究进展，为新药创制和医药工业提供了有用信息。     

ALS抑制剂合理分子设计的研究进展

以乙酰乳酸合成酶为靶标合理设计开发新型超高效除草剂是当前除草剂化学研究中的重要领域。结合本课题组的研究工作,从ALS抑制剂的结构特征、分子力学与量子化学研究、定量构效关系(QSAR)与三维定量构效关系(3D-QSAR)研究、非线性QSAR研究以及新型除草剂的分子设计等几个方面对该领域的研究现状进行了总结报道,并对该领域的发展前景及存在的问题进行了展望。     

1-取代-7-3-[(乙氨基)甲基]-1-吡咯基喹诺酮N1位定量构效关系

喹诺酮类抗菌药物因其具有广谱、低毒以及口服吸收良好等特点而受到越来越多的关注.对N1位的构效关系曾有研究报道,但其建立的定量构效关系式相关性较差.为了对N1位的构效关系有更深入的认识,本文以取代基的表面积和分子体积为参数.     

Chemometrics:Research on Basic Algorithms and Their Applications

Some aspects of the fundamental problems of chemometrics are reviewed based on the research work undertaken in this laboratory. The topics touched upon Include analytical information theory, experimental design and optimization, sampling, analytical detection theory, calibration, signal processing, chemical pattern recognition, quantitative structure-activity relationships, digital simulation, and teaching chemometrics as a chemical discipline.     

化学计量学在海洛因来源判别中的应用

介绍化学计量学在非法海洛因来源判别中的意义和需求,并结合国际上关于非法海洛因来源判别的应用现状和技术特点讲述了化学计量方法的应用种类和特点。虽然各国所采用的化学计量学方法各异,但基本上可以划分为表观判别法和数理统计法两大类。     

Does chemometrics enhance the performance of electroanalysis?

This review explores the question whether chemometrics methods enhance the performance of electroanalytical methods. Electroanalysis has long benefited from the well-established techniques such as potentiometric titrations, polarography and voltammetry, and the more novel ones such as electronic tongues and noses, which have enlarged the scope of applications. The electroanalytical methods have been improved with the application of chemometrics for simultaneous quantitative prediction of analytes or qualitative resolution of complex overlapping responses. Typical methods include partial least squares (PLS), artificial neural networks (ANNs), and multiple curve resolution methods (MCR-ALS, N-PLS and PARAFAC). This review aims to provide the practising analyst with a broad guide to electroanalytical applications supported by chemometrics. In this context, after a general consideration of the use of a number of electroanalytical techniques with the aid of chemometrics methods, several overviews follow with each one focusing on an important field of application such as food, pharmaceuticals, pesticides and the environment. The growth of chemometrics in conjunction with electronic tongue and nose sensors is highlighted, and this is followed by an overview of the use of chemometrics for the resolution of complicated profiles for qualitative identification of analytes, especially with the use of the MCR-ALS methodology. Finally, the performance of electroanalytical methods is compared with that of some spectrophotometric procedures on the basis of figures-of-merit. This showed that electroanalytical methods can perform as well as the spectrophotometric ones. PLS-1 appears to be the method of practical choice if the %relative prediction error of ∼±10% is acceptable.     

2-氯苯甲酰基苯基脲系列化合物对昆虫几丁质的抑制作用

本文用二令淡色库蚊(Culex Pipiens Pallens)对2-氯苯甲酰基苯基脲及其硫脲进行定量构效关系的研究,找出合成高效无氟昆虫几丁质抑制剂的结构因素。     

Chemometrics and near-infrared spectroscopy: Avoiding the pitfalls

The use of chemometrics in quantitative near-infrared (NIR) spectroscopy is reviewed from the standpoint of avoiding pitfalls that may lead to misleading or overly optimistic results. Using the NIR analysis of glucose in six-component mixture samples as an example, a set of guidelines is presented to help the analyst develop and implement a successful calibration.     

Assessing how well a modeling protocol captures a structure-activity landscape

We introduce the notion of structure-activity landscape index (SALI) curves as a way to assess a model and a modeling protocol, applied to structure-activity relationships. We start from our earlier work [ J. Chem. Inf. Model., 2008, 48, 646-658], where we show how to study a structure-activity relationship pairwise, based on the notion of "activity cliffs"-pairs of molecules that are structurally similar but have large differences in activity. There, we also introduced the SALI parameter, which allows one to identify cliffs easily, and which allows one to represent a structure-activity relationship as a graph. This graph orders every pair of molecules by their activity. Here, we introduce the new idea of a SALI curve, which tallies how many of these orderings a model is able to predict. Empirically, testing these SALI curves against a variety of models, ranging over two-dimensional quantitative structure-activity relationship (2D-QSAR), three-dimensional quantitative structure-activity relationship (3D-QSAR), and structure-based design models, the utility of a model seems to correspond to characteristics of these curves. In particular, the integral of these curves, denoted as SCI and being a number ranging from -1.0 to 1.0, approaches a value of 1.0 for two literature models, which are both known to be prospectively useful.     

A variable importance criterion for variable selection in near-infrared spectral analysis

Science China Chemistry - Variable selection is a universal problem in building multivariate calibration models, such as quantitative structure-activity relationship (QSAR) and quantitative...