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Profil
| Derzeitige Stellung | Professor W-2 und Äquivalente |
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| Fachgebiet | Pharmazie,Naturstoffchemie |
| Keywords | Asteraceae, biological assays, chemoinformatics, natural products, chromatography |
Aktuelle Kontaktadresse
| Land | Brasilien |
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| Ort | Ribeirao Preto |
| Universität/Institution | Universidade de Sao Paulo (USP) |
| Institut/Abteilung | Faculdade de Ciências Farmacêuticas de Ribeirão Preto (FCFRP) |
| Website | www.asterbiochem.org |
Gastgeber*innen während der Förderung
| Prof. Dr. Johann Gasteiger | Computer-Chemie-Centrum, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen |
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| Beginn der ersten Förderung | 01.07.2003 |
Programm(e)
| 2003 | Humboldt-Forschungsstipendien-Programm |
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Publikationen (Auswahl)
| 2008 | Fernando B. Da Costa, Dimitar Hristozov, Johann Gasteiger Multilabeled classification approach to find a plant source for terpenoids.. In: Journal of Chemical Information and Modeling , 2008, 56-67 |
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| 2007 | Ricardo Stefani, Fernando B. Da Costa: Computer-assisted structure elucidation of organic compounds. In: Carlton A. Taft, Carlos H. T. P. Silva., Current Methods in Medicinal Chemistry and Biological Physics. Research Signpost, 2007. 101-124 |
| 2007 | Dimitar Hristozov, Fernando B. Da Costa, Johann Gasteiger: Sesquiterpene Lactones-Based Classification of the Family Asteraceae Using Neural Networks and k-Nearest Neighbors. In: Journal of Chemical Information and Modeling, 2007, 9-19 |
| 2005 | Fernando B. Da Costa, Lothar Terfloth, Johann Gasteiger: Sesquiterpene lactone-based classification of three Asteraceae tribes: a study based on self-organizing neural networks applied to chemosystematics. In: Phytochemistry, 2005, 345-353 |
| 2004 | Fernando B. Da Costa, Yuri Binev, Johann Gasteiger, Joao Aires-de-Sousa: Structure-based predictions of 1H NMR chemical shifts of sesquiterpene lactones using neural networks. In: Tetrahedron Letters, 2004, 6931-6935 |