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"Designing QSAR Models for Promising TLR4 Agonists Isolated from Euodia ..."

Rafael Dolezal et al. (2016)

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DOI: 10.1007/978-3-319-45246-3_26

access: closed

type: Conference or Workshop Paper

metadata version: 2020-10-25

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  dblp key:
  - conf/iccci/DolezalTMMRK16
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  - https://dblp.org/rec/conf/iccci/DolezalTMMRK16
Rafael Dolezal, Jan Trejbal, Jakub Mesicek, Agata Milanov, Veronika Racakova, Jiri Krenek:
Designing QSAR Models for Promising TLR4 Agonists Isolated from Euodia Asteridula by Artificial Neural Networks Enhanced by Optimal Brain Surgeon. ICCCI (2) 2016: 271-281

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