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Journal of Medicinal Chemistry
|
September 12, 2023
VHL-Modified PROteolysis TArgeting Chimeras (PROTACs) as a Strategy to Evade Metabolic Degradation in <i>In Vitro</i> Applications
Beatrice Castellani, Michela Eleuteri, Stefano Di Bona, et al.
Journal of Computer-Aided Molecular Design
|
August 23, 2019
How computational chemistry develops: a tribute to Peter Goodford
Gabriele Cruciani, Yvonne Martin, Andy Vinter, et al.
Current Drug Targets
|
October 2, 2015
Decoding the Structural Basis For Carbapenem Hydrolysis By Class A β-lactamases: Fishing For A Pharmacophore
Donatella Tondi, Simon Cross, Alberto Venturelli, et al.
Expert Opinion on Drug Metabolism & Toxicology
|
June 23, 2010
The challenges of in silico contributions to drug metabolism in lead optimization
Roy J Vaz, Ismael Zamora, Yi Li, et al.
Data in Brief
|
July 17, 2020
Geochemical and geochronological dataset of rutile from a Variscan metabasite in Sardinia, Italy
Gabriele Cruciani, Dario Fancello, Marcello Franceschelli, et al.
Expert Opinion on Drug Discovery
|
May 29, 2023
Targeting protein-protein interactions with low molecular weight and short peptide modulators: insights on disease pathways and starting points for drug discovery
Daniela Trisciuzzi, Bruno O Villoutreix, Lydia Siragusa, et al.
Journal of Medicinal Chemistry
|
July 9, 2014
Flavin monooxygenase metabolism: why medicinal chemists should matter
Gabriele Cruciani, Aurora Valeri, Laura Goracci, et al.
Advanced Drug Delivery Reviews
|
January 21, 2012
Improving the prediction of the brain disposition for orally administered drugs using BDDCS
Fabio Broccatelli, Caroline A Larregieu, Gabriele Cruciani, et al.
Plos Computational Biology
|
June 30, 2017
Detecting similar binding pockets to enable systems polypharmacology
Miquel Duran-Frigola, Lydia Siragusa, Eytan Ruppin, et al.
Journal of Computational Chemistry
|
August 19, 2021
Combining machine learning and quantum mechanics yields more chemically aware molecular descriptors for medicinal chemistry applications
Sara Tortorella, Emanuele Carosati, Giulia Sorbi, et al.
Page
of 16
Search research articles
Search
Showing results (51-60 of 158) with videos related to
Sort By:
Page
of 16
Journal of Medicinal Chemistry
|
September 12, 2023
VHL-Modified PROteolysis TArgeting Chimeras (PROTACs) as a Strategy to Evade Metabolic Degradation in <i>In Vitro</i> Applications
Beatrice Castellani, Michela Eleuteri, Stefano Di Bona, et al.
Journal of Computer-Aided Molecular Design
|
August 23, 2019
How computational chemistry develops: a tribute to Peter Goodford
Gabriele Cruciani, Yvonne Martin, Andy Vinter, et al.
Current Drug Targets
|
October 2, 2015
Decoding the Structural Basis For Carbapenem Hydrolysis By Class A β-lactamases: Fishing For A Pharmacophore
Donatella Tondi, Simon Cross, Alberto Venturelli, et al.
Expert Opinion on Drug Metabolism & Toxicology
|
June 23, 2010
The challenges of in silico contributions to drug metabolism in lead optimization
Roy J Vaz, Ismael Zamora, Yi Li, et al.
Data in Brief
|
July 17, 2020
Geochemical and geochronological dataset of rutile from a Variscan metabasite in Sardinia, Italy
Gabriele Cruciani, Dario Fancello, Marcello Franceschelli, et al.
Expert Opinion on Drug Discovery
|
May 29, 2023
Targeting protein-protein interactions with low molecular weight and short peptide modulators: insights on disease pathways and starting points for drug discovery
Daniela Trisciuzzi, Bruno O Villoutreix, Lydia Siragusa, et al.
Journal of Medicinal Chemistry
|
July 9, 2014
Flavin monooxygenase metabolism: why medicinal chemists should matter
Gabriele Cruciani, Aurora Valeri, Laura Goracci, et al.
Advanced Drug Delivery Reviews
|
January 21, 2012
Improving the prediction of the brain disposition for orally administered drugs using BDDCS
Fabio Broccatelli, Caroline A Larregieu, Gabriele Cruciani, et al.
Plos Computational Biology
|
June 30, 2017
Detecting similar binding pockets to enable systems polypharmacology
Miquel Duran-Frigola, Lydia Siragusa, Eytan Ruppin, et al.
Journal of Computational Chemistry
|
August 19, 2021
Combining machine learning and quantum mechanics yields more chemically aware molecular descriptors for medicinal chemistry applications
Sara Tortorella, Emanuele Carosati, Giulia Sorbi, et al.
Page
of 16