Literature DB >> 31125225

Comparing Molecular Patterns Using the Example of SMARTS: Applications and Filter Collection Analysis.

Emanuel S R Ehmki1, Robert Schmidt1, Farina Ohm1, Matthias Rarey1.   

Abstract

In a recent work, an algorithm to compare chemical patterns, written for example in SMARTS, was presented. This algorithm, called SMARTScompare, is able to assess the identity, subset relation, and similarity of a pair of patterns. Here we used an implementation of SMARTScompare to analyze SMARTS filter sets that were published in the context of, for example, high-throughput screening. We found that the difference in intentions with which the filter sets were designed is mirrored in the similarity values we calculated. The analysis revealed which patterns from one filter set are covered by filters from another set. In one case it became obvious that a filter set is more or less completely covered by another. Furthermore, we analyzed pattern hierarchies for consistency, and we propose a method to remove redundant patterns. SMARTScompare together with SMARTScompareView equips users with powerful methods to visualize, compare, and focus their filter sets.

Year:  2019        PMID: 31125225     DOI: 10.1021/acs.jcim.9b00249

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


  3 in total

1.  Influence of Template Size, Canonicalization, and Exclusivity for Retrosynthesis and Reaction Prediction Applications.

Authors:  Esther Heid; Jiannan Liu; Andrea Aude; William H Green
Journal:  J Chem Inf Model       Date:  2021-12-23       Impact factor: 4.956

Review 2.  A Current Encyclopedia of Bioinformatics Tools, Data Formats and Resources for Mass Spectrometry Lipidomics.

Authors:  Nils Hoffmann; Gerhard Mayer; Canan Has; Dominik Kopczynski; Fadi Al Machot; Dominik Schwudke; Robert Ahrends; Katrin Marcus; Martin Eisenacher; Michael Turewicz
Journal:  Metabolites       Date:  2022-06-23

3.  Combining Machine Learning and Computational Chemistry for Predictive Insights Into Chemical Systems.

Authors:  John A Keith; Valentin Vassilev-Galindo; Bingqing Cheng; Stefan Chmiela; Michael Gastegger; Klaus-Robert Müller; Alexandre Tkatchenko
Journal:  Chem Rev       Date:  2021-07-07       Impact factor: 60.622

  3 in total

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