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Leitud autorid
  • Dobchev, Dimitar Atanasov
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  • artikkel kogumikus
    Fragment-based QSAR approach for novel indole-like TrkA receptor antagonistTammiku-Taul, Jaana; Dobchev, Dimitar Atanasov; Karelson, Mati; Timmusk, Tõnis; Park, Rahel; Jaanson, Kaur; Luberg, Kristi; Kananovich, Dzmitry; Noole, Artur; Kanger, Tõnis; Lopp, Margus8th International Symposium on Computational Methods in Toxicology and Pharmacology Integrating Internet Resources (CMTPI-2015) : Chios, Greece, June 21-25, 2015 : book of abstracts2015 / p. 68
    artikkel kogumikus
  • artikkel kogumikus
    Fragment-based QSAR for the prediction of novel Trk inhibitorsTammiku-Taul, Jaana; Karelson, Mati; Dobchev, Dimitar AtanasovXIV European Symposium of Organic Reactivity (ESOR XIV) : book of abstracts2013 / p. 181
    artikkel kogumikus
  • artikkel kogumikus
    Fragment-based QSAR for the prediction of novel TrkA inhibitorsTammiku-Taul, Jaana; Karelson, Mati; Dobchev, Dimitar AtanasovScientific programme & book of abstracts : QSAR 20142014 / p. 170
    artikkel kogumikus
  • artikkel ajakirjas
    In silico machine learning methods in drug developmentDobchev, Dimitar Atanasov; Pillai, Girinath Gopinathan; Karelson, MatiCurrent topics in medicinal chemistry2014 / p. 1913-1922
    artikkel ajakirjas
  • artikkel ajakirjas
    Indole-like Trk receptor antagonistsTammiku-Taul, Jaana; Park, Rahel; Jaanson, Kaur; Luberg, Kristi; Dobchev, Dimitar Atanasov; Kananovich, Dzmitry; Noole, Artur; Mandel, Merle; Kaasik, Allen; Lopp, Margus; Timmusk, Tõnis; Karelson, MatiEuropean journal of medicinal chemistry2016 / p. 541-552 : ill https://doi.org/10.1016/j.ejmech.2016.06.003
    artikkel ajakirjas
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