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Chemistryopen|January 10, 2019
Discovery of Novel Molecular Frameworks of Farnesoid X Receptor Modulators by Ensemble Machine LearningDaniel Merk, Francesca Grisoni, Kay Schaller, et al.Angewandte Chemie (International Ed. in English)|June 24, 2021
Beam Search for Automated Design and Scoring of Novel ROR Ligands with Machine Intelligence*Michael Moret, Moritz Helmstädter, Francesca Grisoni, et al.Journal of Medicinal Chemistry|June 15, 2018
Computer-Assisted Discovery of Retinoid X Receptor Modulating Natural Products and Isofunctional MimeticsDaniel Merk, Francesca Grisoni, Lukas Friedrich, et al.Medchemcomm|August 29, 2018
Scaffold hopping from synthetic RXR modulators by virtual screening and de novo designDaniel Merk, Francesca Grisoni, Lukas Friedrich, et al.Medchemcomm|October 6, 2018
Lipophilicity prediction of peptides and peptide derivatives by consensus machine learningJens-Alexander Fuchs, Francesca Grisoni, Michael Kossenjans, et al.Scientific Reports|May 13, 2022
Identification of novel off targets of baricitinib and tofacitinib by machine learning with a focus on thrombosis and viral infectionMaria L Faquetti, Francesca Grisoni, Petra Schneider, et al.Chemmedchem|April 22, 2018
Designing Anticancer Peptides by Constructive Machine LearningFrancesca Grisoni, Claudia S Neuhaus, Gisela Gabernet, et al.Journal of Molecular Modeling|April 7, 2019
De novo design of anticancer peptides by ensemble artificial neural networksFrancesca Grisoni, Claudia S Neuhaus, Miyabi Hishinuma, et al.Science Advances|June 12, 2021
Combining generative artificial intelligence and on-chip synthesis for de novo drug designFrancesca Grisoni, Berend J H Huisman, Alexander L Button, et al.Molecular Informatics|September 22, 2016
Matrix-based Molecular Descriptors for Prospective Virtual Compound ScreeningFrancesca Grisoni, Daniel Reker, Petra Schneider, et al.Pageof 34