Literature DB >> 30334206

Impact of Molecular Descriptors on Computational Models.

Francesca Grisoni1, Viviana Consonni2, Roberto Todeschini2.   

Abstract

Molecular descriptors encode a wide variety of molecular information and have become the support of many contemporary chemoinformatic and bioinformatic applications. They grasp specific molecular features (e.g., geometry, shape, pharmacophores, or atomic properties) and directly affect computational models, in terms of outcome, performance, and applicability. This chapter aims to illustrate the impact of different molecular descriptors on the structural information captured and on the perceived chemical similarity among molecules. After introducing the fundamental concepts of molecular descriptor theory and application, a step-by-step retrospective virtual screening procedure guides users through the fundamental processing steps and discusses the impact of different types of molecular descriptors.

Keywords:  Chemical space; Distance measure; Mathematical chemistry; Molecular descriptors; Molecular similarity; Similarity search; Virtual screening

Mesh:

Year:  2018        PMID: 30334206     DOI: 10.1007/978-1-4939-8639-2_5

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  2 in total

1.  Block-wise Exploration of Molecular Descriptors with Multi-block Orthogonal Component Analysis (MOCA).

Authors:  Sebastian Schmidt; Michael Schindler; Lennart Eriksson
Journal:  Mol Inform       Date:  2021-12-08       Impact factor: 4.050

2.  Water Activity Prediction in Sugar and Polyol Systems Using Theoretical Molecular Descriptors.

Authors:  Antonio Zuorro
Journal:  Int J Mol Sci       Date:  2021-10-13       Impact factor: 5.923

  2 in total

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