Literature DB >> 33205984

From Qualitative to Quantitative Analysis of Activity and Property Landscapes.

Gerald Maggiora1, José L Medina-Franco2, Javed Iqbal3, Martin Vogt3, Jürgen Bajorath3.   

Abstract

Activity or, more generally, property landscapes (PLs) have been considered as an attractive way to visualize and explore structure-property relationships (SPRs) contained in large data sets of chemical compounds. For graphical analysis, three-dimensional representations reminiscent of natural landscapes are particularly intuitive. So far, the use of such landscape models has essentially been confined to qualitative assessment. We describe recent efforts to analyze PLs in a more quantitative manner, which make it possible to calculate topographical similarity values for comparison of landscape models as a measure of relative SPR information content.

Entities:  

Year:  2020        PMID: 33205984     DOI: 10.1021/acs.jcim.0c01249

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


  3 in total

1.  Tubulin Inhibitors: A Chemoinformatic Analysis Using Cell-Based Data.

Authors:  Edgar López-López; Carlos M Cerda-García-Rojas; José L Medina-Franco
Journal:  Molecules       Date:  2021-04-24       Impact factor: 4.411

2.  Advancing Cheminformatics-A Theme Issue in Honor of Professor Jürgen Bajorath.

Authors:  Martin Vogt
Journal:  Molecules       Date:  2022-04-14       Impact factor: 4.411

3.  Progress on open chemoinformatic tools for expanding and exploring the chemical space.

Authors:  José L Medina-Franco; Norberto Sánchez-Cruz; Edgar López-López; Bárbara I Díaz-Eufracio
Journal:  J Comput Aided Mol Des       Date:  2021-06-18       Impact factor: 4.179

  3 in total

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