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Fingerprint-Based Machine Learning Approach to Identify Potent and Selective 5-HT2BR Ligands.
Rataj, Krzysztof; Kelemen, Ádám Andor; Brea, José; Loza, María Isabel; Bojarski, Andrzej J; Keseru, György Miklós.
Affiliation
  • Rataj K; Department of Medicinal Chemistry, Institute of Pharmacology, Polish Academy of Sciences, 12 Smetna Street, 31-343 Krakow, Poland. krzysiek.firmowy.pan@gmail.com.
  • Kelemen ÁA; Medicinal Chemistry Research Group, Research Centre for Natural Sciences, Hungarian Academy of Sciences, Magyar tudósok krt. 2, H1117 Budapest, Hungary. kelemen.adam@ttk.mta.hu.
  • Brea J; Grupo de Investigación "BioFarma" USC, Centro de Investigación CIMUS, Planta 3ª, Avd. de Barcelona s/n, 15782 Santiago de Compostela, Spain. pepo.brea@usc.es.
  • Loza MI; Grupo de Investigación "BioFarma" USC, Centro de Investigación CIMUS, Planta 3ª, Avd. de Barcelona s/n, 15782 Santiago de Compostela, Spain. mabel.loza@usc.es.
  • Bojarski AJ; Department of Medicinal Chemistry, Institute of Pharmacology, Polish Academy of Sciences, 12 Smetna Street, 31-343 Krakow, Poland. bojarski@if-pan.krakow.pl.
  • Keseru GM; Medicinal Chemistry Research Group, Research Centre for Natural Sciences, Hungarian Academy of Sciences, Magyar tudósok krt. 2, H1117 Budapest, Hungary. gy.keseru@ttk.mta.hu.
Molecules ; 23(5)2018 05 10.
Article in En | MEDLINE | ID: mdl-29748476
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Full text: 1 Database: MEDLINE Main subject: Receptor, Serotonin, 5-HT2B / Drug Evaluation, Preclinical / Machine Learning Type of study: Prognostic_studies Limits: Humans Language: En Year: 2018 Type: Article
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Full text: 1 Database: MEDLINE Main subject: Receptor, Serotonin, 5-HT2B / Drug Evaluation, Preclinical / Machine Learning Type of study: Prognostic_studies Limits: Humans Language: En Year: 2018 Type: Article