Počet záznamů: 1  

Molpher: a software framework for systematic chemical space exploration

  1. 1.
    SYSNO ASEP0436402
    Druh ASEPJ - Článek v odborném periodiku
    Zařazení RIVJ - Článek v odborném periodiku
    Poddruh JČlánek ve WOS
    NázevMolpher: a software framework for systematic chemical space exploration
    Tvůrce(i) Hoksza, D. (CZ)
    Škoda, P. (CZ)
    Voršilák, M. (CZ)
    Svozil, Daniel (UMG-J)
    Zdroj.dok.Journal of Cheminformatics. - : BioMed Central - ISSN 1758-2946
    Roč. 6, č. 1 (2014)
    Poč.str.13 s.
    Jazyk dok.eng - angličtina
    Země vyd.GB - Velká Británie
    Klíč. slovaChemical space exploration ; De-novo design ; In silico ligand design ; Chemical biology tools
    Vědní obor RIVEB - Genetika a molekulární biologie
    CEPTA02010212 GA TA ČR - Technologická agentura ČR
    GAP202/11/0968 GA ČR - Grantová agentura ČR
    GP14-29032P GA ČR - Grantová agentura ČR
    UT WOS000335604400001
    DOI https://doi.org/10.1186/1758-2946-6-7
    AnotaceBackground: Chemical space is virtual space occupied by all chemically meaningful organic compounds. It is an important concept in contemporary chemoinformatics research, and its systematic exploration is vital to the discovery of either novel drugs or new tools for chemical biology. Results: In this paper, we describe Molpher, an open-source framework for the systematic exploration of chemical space. Through a process we term ‘molecular morphing’, Molpher produces a path of structurally-related compounds. This path is generated by the iterative application of so-called ‘morphing operators’ that represent simple structural changes, such as the addition or removal of an atom or a bond. Molpher incorporates an optimized parallel exploration algorithm, compound logging and a two-dimensional visualization of the exploration process. Its feature set can be easily extended by implementing additional morphing operators, chemical fingerprints, similarity measures and visualization methods. Molpher not only offers an intuitive graphical user interface, but also can be run in batch mode. This enables users to easily incorporate molecular morphing into their existing drug discovery pipelines. Conclusions: Molpher is an open-source software framework for the design of virtual chemical libraries focused on a particular mechanistic class of compounds. These libraries, represented by a morphing path and its surroundings, provide valuable starting data for future in silico and in vitro experiments. Molpher is highly extensible and can be easily incorporated into any existing computational drug design pipeline.
    PracovištěÚstav molekulární genetiky
    KontaktNikol Škňouřilová, nikol.sknourilova@img.cas.cz, Tel.: 241 063 217
    Rok sběru2015
Počet záznamů: 1  

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