GISSELLE
PEREZ MACHADO
INVEST DOCT UV SENIOR
Universidade Do Porto
Oporto, PortugalPublicaciones en colaboración con investigadores/as de Universidade Do Porto (9)
2022
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Emerging Computational Approaches for Antimicrobial Peptide Discovery
Antibiotics, Vol. 11, Núm. 7
2020
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Graph theory-based sequence descriptors as remote homology predictors
Biomolecules, Vol. 10, Núm. 1
2016
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How the protein architecture of rnases iii influences their substrate specificity?
Current Pharmaceutical Design, Vol. 22, Núm. 33, pp. 5065-5071
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TI2BioP-Topological Indices to BioPolymers. A Graphical-Numerical Approach for Bioinformatics
RECENT ADVANCES IN BIOPOLYMERS (INTECH EUROPE), pp. 253-278
2015
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Harmonization of QSAR Best Practices and Molecular Docking Provides an Efficient Virtual Screening Tool for Discovering New G-Quadruplex Ligands
Journal of Chemical Information and Modeling, Vol. 55, Núm. 10, pp. 2094-2110
2012
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Discovery of MAO-B inhibitors - present status and future directions part I: Oxygen heterocycles and analogs
Mini-Reviews in Medicinal Chemistry, Vol. 12, Núm. 10, pp. 907-919
2011
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Non-linear models based on simple topological indices to identify RNase III protein members
Journal of Theoretical Biology, Vol. 273, Núm. 1, pp. 167-178
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TI2BioP: Topological Indices to BioPolymers. Its practical use to unravel cryptic bacteriocin-like domains
Amino Acids, Vol. 40, Núm. 2, pp. 431-442
2010
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Quantitative structure-activity relationship modelling of the carcinogenic risk of nitroso compounds using regression analysis and the TOPS-MODE approach
SAR and QSAR in Environmental Research, Vol. 21, Núm. 3, pp. 277-304