| Literature DB >> 33205984 |
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