Literature DB >> 29770697

mmpdb: An Open-Source Matched Molecular Pair Platform for Large Multiproperty Data Sets.

Andrew Dalke1, Jérôme Hert2, Christian Kramer2.   

Abstract

Matched molecular pair analysis (MMPA) enables the automated and systematic compilation of medicinal chemistry rules from compound/property data sets. Here we present mmpdb, an open-source matched molecular pair (MMP) platform to create, compile, store, retrieve, and use MMP rules. mmpdb is suitable for the large data sets typically found in pharmaceutical and agrochemical companies and provides new algorithms for fragment canonicalization and stereochemistry handling. The platform is written in Python and based on the RDKit toolkit. It is freely available from https://github.com/rdkit/mmpdb .

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Year:  2018        PMID: 29770697     DOI: 10.1021/acs.jcim.8b00173

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


  8 in total

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Authors:  Karolina Kwapien; Eva Nittinger; Jiazhen He; Christian Margreitter; Alexey Voronov; Christian Tyrchan
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Journal:  J Cheminform       Date:  2021-07-02       Impact factor: 5.514

  8 in total

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