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Florbela Pereira
Florbela Pereira
LAQV and REQUIMTE, Departamento de Química, Faculdade de Ciências e Tecnologia, Universidade Nova de
Verified email at fct.unl.pt - Homepage
Title
Cited by
Cited by
Year
Dereplication: racing to speed up the natural products discovery process
SP Gaudêncio, F Pereira
Natural product reports 32 (6), 779-810, 2015
2802015
Machine learning methods to predict density functional theory B3LYP energies of HOMO and LUMO orbitals
F Pereira, K Xiao, DARS Latino, C Wu, Q Zhang, J Aires-de-Sousa
Journal of chemical information and modeling 57 (1), 11-21, 2017
1722017
Computational methodologies in the exploration of marine natural product leads
F Pereira, J Aires-de-Sousa
Marine Drugs 16 (7), 236, 2018
962018
Have marine natural product drug discovery efforts been productive and how can we improve their efficiency?
F Pereira
Expert Opinion on Drug Discovery 14 (8), 717-722, 2019
752019
Antifouling Napyradiomycins from Marine-Derived Actinomycetes Streptomyces aculeolatus
F Pereira, JR Almeida, M Paulino, IR Grilo, H Macedo, I Cunha, ...
Marine drugs 18 (1), 63, 2020
402020
Intra‐clade metabolomic profiling of MAR4 Streptomyces from the Macaronesia Atlantic region reveals a source of anti‐biofilm metabolites
A Bauermeister, F Pereira, IR Grilo, CC Godinho, M Paulino, V Almeida, ...
Environmental microbiology 21 (3), 1099-1112, 2019
402019
Machine learning for the prediction of molecular dipole moments obtained by density functional theory
F Pereira, J Aires-de-Sousa
Journal of cheminformatics 10, 1-11, 2018
382018
The Madeira Archipelago as a significant source of marine-derived actinomycete diversity with anticancer and antimicrobial potential
A Prieto-Davó, T Dias, SE Gomes, S Rodrigues, Y Parera-Valadez, ...
Frontiers in Microbiology 7, 223480, 2016
372016
A Chemoinformatics Approach to the Discovery of Lead-Like Molecules from Marine and Microbial Sources En Route to Antitumor and Antibiotic Drugs
F Pereira, DARS Latino, SP Gaudêncio
Marine drugs 12 (2), 757-778, 2014
352014
MOLinsight: a web portal for the processing of molecular structures by blind students
F Pereira, J Aires-de-Sousa, VDB Bonifacio, P Mata, AM Lobo
Journal of Chemical Education 88 (3), 361-362, 2011
352011
Triterpenes from Acacia Dealbata
FBM Pereira, FMJ Domingues, AMS Silva
Natural Product Letters 8 (2), 97-103, 1996
351996
A Computer-Driven Approach to Discover Natural Product Leads for Methicillin-Resistant Staphylococcus aureus Infection Therapy
T Dias, SP Gaudêncio, F Pereira
Marine drugs 17 (1), 16, 2018
342018
Sonified infrared spectra and their interpretation by blind and visually impaired students
F Pereira, JC Ponte-e-Sousa, RPS Fartaria, VDB Bonifácio, P Mata, ...
Journal of chemical education 90 (8), 1028-1031, 2013
332013
QSAR-assisted virtual screening of lead-like molecules from marine and microbial natural sources for antitumor and antibiotic drug discovery
F Pereira, DARS Latino, SP Gaudêncio
Molecules 20 (3), 4848-4873, 2015
292015
In silico HCT116 human colon cancer cell-based models en route to the discovery of lead-like anticancer drugs
S Cruz, SE Gomes, PM Borralho, CMP Rodrigues, SP Gaudêncio, ...
Biomolecules 8 (3), 56, 2018
282018
A computer-aided drug design approach to predict marine drug-like leads for SARS-CoV-2 main protease inhibition
SP Gaudêncio, F Pereira
Marine drugs 18 (12), 633, 2020
272020
Estimation of mayr electrophilicity with a quantitative structure–property relationship approach using empirical and DFT descriptors
F Pereira, DARS Latino, J Aires-de-Sousa
The Journal of Organic Chemistry 76 (22), 9312-9319, 2011
262011
Advanced methods for natural products discovery: bioactivity screening, dereplication, metabolomics profiling, genomic sequencing, databases and informatic tools, and structure …
SP Gaudêncio, E Bayram, L Lukić Bilela, M Cueto, AR Díaz-Marrero, ...
Marine drugs 21 (5), 308, 2023
192023
Interactions of Omeprazole and Precursors with beta-Cyclodextrin Host Molecules
SS Braga, P Ribeiro-Claro, M Pillinger, IS Gonçalves, AC Fernandes, ...
Journal of inclusion phenomena and macrocyclic chemistry 47, 47-52, 2003
182003
Machine learning prediction of UV–Vis spectra features of organic compounds related to photoreactive potential
R Mamede, F Pereira, J Aires-de-Sousa
Scientific Reports 11 (1), 23720, 2021
162021
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