Literature DB >> 22775241

What is wrong with quantitative structure-property relations models based on three-dimensional descriptors?

M Hechinger1, K Leonhard, W Marquardt.   

Abstract

Quantitative structure-property relations (QSPR) employing descriptors derived from the three-dimensional (3D) molecular structure are frequently applied for property prediction in various fields of research. However, there is no common understanding of the necessary degree of detail to which molecular structure has to be known for reliable descriptor evaluation, but computational methods used vary from simplified molecular mechanics up to rigorous ab initio programs. In order to quantify the yet unknown error due to this heterogeneity, widely used 3D molecular descriptors from diverse fields of application are evaluated for molecular structures computed by different computational methods. The results clearly indicate that the widespread, exclusive use of the most stable molecular conformation as well as too simplistic computational methods yield systematically erroneous descriptor values with misleading information for the inferred structure-property relations. Thus, generating an awareness and understanding of this fundamental problem is considered an important first step to make 3D QSPR a generally accepted property prediction method.

Year:  2012        PMID: 22775241     DOI: 10.1021/ci300246m

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


  5 in total

1.  Representing descriptors derived from multiple conformations as uncertain features for machine learning.

Authors:  Ulf Norinder; Henrik Boström
Journal:  J Mol Model       Date:  2013-03-12       Impact factor: 1.810

Review 2.  Multivariate linear QSPR/QSAR models: Rigorous evaluation of variable selection for PLS.

Authors:  Kurt Varmuza; Peter Filzmoser; Matthias Dehmer
Journal:  Comput Struct Biotechnol J       Date:  2013-03-02       Impact factor: 7.271

3.  Examining the predictive accuracy of the novel 3D N-linear algebraic molecular codifications on benchmark datasets.

Authors:  César R García-Jacas; Ernesto Contreras-Torres; Yovani Marrero-Ponce; Mario Pupo-Meriño; Stephen J Barigye; Lisset Cabrera-Leyva
Journal:  J Cheminform       Date:  2016-02-25       Impact factor: 5.514

4.  Antiprotozoal Nitazoxanide Derivatives: Synthesis, Bioassays and QSAR Study Combined with Docking for Mechanistic Insight.

Authors:  Thomas Scior; Jorge Lozano-Aponte; Subhash Ajmani; Eduardo Hernández-Montero; Fabiola Chávez-Silva; Emanuel Hernández-Núñez; Rosa Moo-Puc; Andres Fraguela-Collar; Gabriel Navarrete-Vázquez
Journal:  Curr Comput Aided Drug Des       Date:  2015       Impact factor: 1.606

5.  Predicting the Surface Tension of Deep Eutectic Solvents: A Step Forward in the Use of Greener Solvents.

Authors:  Amit Kumar Halder; Reza Haghbakhsh; Iuliia V Voroshylova; Ana Rita C Duarte; Maria Natalia D S Cordeiro
Journal:  Molecules       Date:  2022-07-31       Impact factor: 4.927

  5 in total

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