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Neural network and deep-learning algorithms used in QSAR studies: merits and drawbacks.
Ghasemi, Fahimeh; Mehridehnavi, Alireza; Pérez-Garrido, Alfonso; Pérez-Sánchez, Horacio.
Affiliation
  • Ghasemi F; Department of Bioinformatics and Systems Biology, School of Advanced Technologies in Medicine, Isfahan University of Medical Sciences, Isfahan, Hezar-Jerib Ave., 81746 73461, Islamic Republic of Iran. Electronic address: f_ghasemi@amt.mui.ac.ir.
  • Mehridehnavi A; Department of Bioinformatics and Systems Biology, School of Advanced Technologies in Medicine, Isfahan University of Medical Sciences, Isfahan, Hezar-Jerib Ave., 81746 73461, Islamic Republic of Iran.
  • Pérez-Garrido A; Bioinformatics and High Performance Computing Research Group (BIO-HPC), Universidad Católica de Murcia (UCAM), E30107 Murcia, Spain.
  • Pérez-Sánchez H; Bioinformatics and High Performance Computing Research Group (BIO-HPC), Universidad Católica de Murcia (UCAM), E30107 Murcia, Spain. Electronic address: hperez@ucam.edu.
Drug Discov Today ; 23(10): 1784-1790, 2018 10.
Article in En | MEDLINE | ID: mdl-29936244
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Neural Networks, Computer / Drug Discovery / Deep Learning Limits: Humans Language: En Journal: Drug Discov Today Journal subject: FARMACOLOGIA / TERAPIA POR MEDICAMENTOS Year: 2018 Document type: Article
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Neural Networks, Computer / Drug Discovery / Deep Learning Limits: Humans Language: En Journal: Drug Discov Today Journal subject: FARMACOLOGIA / TERAPIA POR MEDICAMENTOS Year: 2018 Document type: Article