Literature DB >> 12444726

Over 20 years of reaction access systems from MDL: a novel reaction substructure search algorithm.

Lingran Chen1, James G Nourse, Bradley D Christie, Burton A Leland, David L Grier.   

Abstract

From REACCS, to MDL ISIS/Host Reaction Gateway, and most recently to MDL Relational Chemistry Server, a new product based on Oracle data cartridge technology, MDL's reaction database management and retrieval systems have undergone great changes. The evolution of the system architecture is briefly discussed. The evolution of MDL reaction substructure search (RSS) algorithms is detailed. This article mainly describes a novel RSS algorithm. This algorithm is based on a depth-first search approach and is able to fully and prospectively use reaction specific information, such as reacting center and atom-atom mapping (AAM) information. The new algorithm has been used in the recently released MDL Relational Chemistry Server and allows the user to precisely find reaction instances in databases while minimizing unrelated hits. Finally, the existing and new RSS algorithms are compared with several examples.

Entities:  

Year:  2002        PMID: 12444726     DOI: 10.1021/ci020023s

Source DB:  PubMed          Journal:  J Chem Inf Comput Sci        ISSN: 0095-2338


  5 in total

1.  SIMCOMP/SUBCOMP: chemical structure search servers for network analyses.

Authors:  Masahiro Hattori; Nobuya Tanaka; Minoru Kanehisa; Susumu Goto
Journal:  Nucleic Acids Res       Date:  2010-05-11       Impact factor: 16.971

2.  MUCHA: multiple chemical alignment algorithm to identify building block substructures of orphan secondary metabolites.

Authors:  Masaaki Kotera; Toshiaki Tokimatsu; Minoru Kanehisa; Susumu Goto
Journal:  BMC Bioinformatics       Date:  2011-12-14       Impact factor: 3.169

3.  Automatic mapping of atoms across both simple and complex chemical reactions.

Authors:  Wojciech Jaworski; Sara Szymkuć; Barbara Mikulak-Klucznik; Krzysztof Piecuch; Tomasz Klucznik; Michał Kaźmierowski; Jan Rydzewski; Anna Gambin; Bartosz A Grzybowski
Journal:  Nat Commun       Date:  2019-03-29       Impact factor: 14.919

4.  Extraction of organic chemistry grammar from unsupervised learning of chemical reactions.

Authors:  Philippe Schwaller; Benjamin Hoover; Jean-Louis Reymond; Hendrik Strobelt; Teodoro Laino
Journal:  Sci Adv       Date:  2021-04-07       Impact factor: 14.136

Review 5.  Natural product drug discovery in the artificial intelligence era.

Authors:  F I Saldívar-González; V D Aldas-Bulos; J L Medina-Franco; F Plisson
Journal:  Chem Sci       Date:  2021-12-13       Impact factor: 9.825

  5 in total

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