• Login
    View Item 
    •   DSpace Home
    • 6-ULUSAL ve ULUSLARARASI İNDEKSLERDE B.E.Ü. YAYINLARI
    • 01) WOS İndeksli Yayınlar Koleksiyonu
    • View Item
    •   DSpace Home
    • 6-ULUSAL ve ULUSLARARASI İNDEKSLERDE B.E.Ü. YAYINLARI
    • 01) WOS İndeksli Yayınlar Koleksiyonu
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Quantitative bioactivity prediction and pharmacophore identification for benzotriazine derivatives using the electron conformational-genetic algorithm in QSAR

    Thumbnail
    Date
    2011
    Author
    Sahin, K.
    Saripinar, E.
    Yanmaz, E.
    Gecen, N.
    Metadata
    Show full item record
    Abstract
    The electron conformational-genetic algorithm (EC-GA), a sophisticated hybrid approach combining the GA and EC methods, has been employed for a 4D-QSAR procedure to identify the pharmacophore for benzotriazines as sarcoma inhibitors and for quantitative p
    URI
    http://dspace.beu.edu.tr:8080/xmlui/handle/20.500.12643/10786
    https://doi.org/10.1080/1062936X.2010.548341
    Collections
    • 01) WOS İndeksli Yayınlar Koleksiyonu [1011]
    • 02) Scopus İndeksli Yayınlar Koleksiyonu [895]





    Creative Commons License
    DSpace@BEU by Bitlis Eren University Institutional Repository is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 4.0 Unported License..

    DSpace software copyright © 2002-2016  DuraSpace
    Contact Us | Send Feedback
    Theme by 
    Atmire NV
     

     




    | Yönerge | Rehber | İletişim |

    sherpa/romeo

    Browse

    All of DSpaceCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsBy TypeThis CollectionBy Issue DateAuthorsTitlesSubjectsBy Type

    My Account

    LoginRegister

    DSpace software copyright © 2002-2016  DuraSpace
    Contact Us | Send Feedback
    Theme by 
    Atmire NV