Literature DB >> 18956833

Legitimate utilization of large descriptor pools for QSPR/QSAR models.

Alan R Katritzky1, Dimitar A Dobchev, Svetoslav Slavov, Mati Karelson.   

Abstract

The use of large descriptor pools in multilinear QSAR/QSPR approaches has recently been increasingly criticized for their sensitivity to "chance correlations". Statistical experiments substituting "real descriptor" pools by random numbers were stated to demonstrate such sensitivity. While contributing positively to the improvement of the QSAR/QSPR methodology, these approaches claim complete interchangeability between the molecular descriptors used in QSAR/QSPR models and random numbers. Here, we demonstrate that when used correctly the large molecular descriptor pools are (i) not comparable with random numbers and (ii) can give very helpful QSPR conclusions.

Mesh:

Year:  2008        PMID: 18956833     DOI: 10.1021/ci8002073

Source DB:  PubMed          Journal:  J Chem Inf Model        ISSN: 1549-9596            Impact factor:   4.956


  3 in total

1.  Structural and energetic insights into sequence-specific interaction in DNA-drug recognition: development of affinity predictor and analysis of binding selectivity.

Authors:  Jingheng Ning; Weiwei Chen; Jiaojiao Li; Zaixi Peng; Jianhui Wang; Zhong Ni
Journal:  J Mol Model       Date:  2012-12-29       Impact factor: 1.810

2.  A Quantitative Structure-Property Relationship (QSPR) Study of aliphatic alcohols by the method of dividing the molecular structure into substructure.

Authors:  Fengping Liu; Chenzhong Cao; Bin Cheng
Journal:  Int J Mol Sci       Date:  2011-04-07       Impact factor: 5.923

3.  Development and interpretation of a QSAR model for in vitro breast cancer (MCF-7) cytotoxicity of 2-phenylacrylonitriles.

Authors:  David T Stanton; Jennifer R Baker; Adam McCluskey; Stefan Paula
Journal:  J Comput Aided Mol Des       Date:  2021-05-04       Impact factor: 3.686

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.