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Carbohydrate Research|March 29, 2011
Prediction of the anomeric configuration, type of linkage, and residues in disaccharides from 1D (13)C NMR dataFlorbela PereiraMolecules (Basel, Switzerland)|March 30, 2012
1D 13C-NMR data as molecular descriptors in spectra--structure relationship analysis of oligosaccharidesFlorbela PereiraMolecular Informatics|March 31, 2021
Machine Learning Methods to Predict the Terrestrial and Marine Origin of Natural ProductsFlorbela PereiraMarine Drugs|February 24, 2022
Predicting Antifouling Activity and Acetylcholinesterase Inhibition of Marine-Derived Compounds Using a Computer-Aided Drug Design ApproachSusana P Gaudêncio, Florbela PereiraNatural Product Reports|April 9, 2015
Dereplication: racing to speed up the natural products discovery processSusana P Gaudêncio, Florbela PereiraMarine Drugs|December 16, 2020
A Computer-Aided Drug Design Approach to Predict Marine Drug-Like Leads for SARS-CoV-2 Main Protease InhibitionSusana P Gaudêncio, Florbela PereiraMarine Drugs|August 25, 2023
Marine Drug Discovery through Computer-Aided ApproachesSusana P Gaudêncio, Florbela PereiraJournal of Cheminformatics|August 24, 2018
Machine learning for the prediction of molecular dipole moments obtained by density functional theoryFlorbela Pereira, João Aires-de-SousaMarine Drugs|July 18, 2018
Computational Methodologies in the Exploration of Marine Natural Product LeadsFlorbela Pereira, Joao Aires-de-SousaMarine Drugs|January 2, 2019
A Computer-Driven Approach to Discover Natural Product Leads for Methicillin-Resistant Staphylococcus aureus Infection TherapyTiago Dias, Susana P Gaudêncio, Florbela PereiraPageof 4