Zobrazeno 1 - 10
of 94
pro vyhledávání: '"Fabricio Alves Barbosa da Silva"'
Autor:
Márcia da Silva Chagas, Marcelo Trindade dos Santos, Marcio Argollo de Menezes, Fabricio Alves Barbosa da Silva
Publikováno v:
Frontiers in Microbiology, Vol 14 (2023)
IntroductionPseudomonas aeruginosa infections are one of the leading causes of death in immunocompromised patients with cystic fibrosis, diabetes, and lung diseases such as pneumonia and bronchiectasis. Furthermore, P. aeruginosa is one of the main m
Externí odkaz:
https://doaj.org/article/ea18bf1bfb014b5c8a44e114346f0d9b
Autor:
Nicolas Carels, Domenico Sgariglia, Marcos Guilherme Vieira Junior, Carlyle Ribeiro Lima, Flávia Raquel Gonçalves Carneiro, Gilberto Ferreira da Silva, Fabricio Alves Barbosa da Silva, Rafaela Scardini, Jack Adam Tuszynski, Cecilia Vianna de Andrade, Ana Carolina Monteiro, Marcel Guimarães Martins, Talita Goulart da Silva, Helen Ferraz, Priscilla Vanessa Finotelli, Tiago Albertini Balbino, José Carlos Pinto
Publikováno v:
International Journal of Molecular Sciences, Vol 24, Iss 22, p 16098 (2023)
We describe a strategy for the development of a rational approach of neoplastic disease therapy based on the demonstration that scale-free networks are susceptible to specific attacks directed against its connective hubs. This strategy involves the (
Externí odkaz:
https://doaj.org/article/bda190de830a4468a33d1f727e20696b
Autor:
Luiza Hoehl Loureiro Alves Barbosa, Alice Ramos Oliveira Silva, Ana Paula D’Alincourt Carvalho-Assef, Elisangela Costa Lima, Fabricio Alves Barbosa da Silva
Publikováno v:
Frontiers in Pharmacology, Vol 13 (2022)
Antibacterial drugs are a widely used drug class due to the frequency of infectious diseases globally. Risks knowledge should ground these medicines’ selection. Data mining in large databases is essential to identify early safety signals and to sup
Externí odkaz:
https://doaj.org/article/b1e9f986a23d43daa78f035e5114060e
Publikováno v:
Frontiers in Big Data, Vol 5 (2022)
Externí odkaz:
https://doaj.org/article/701dc2f75b4a4fbd8d9b63946089d96a
Autor:
Felicita Mabel Duré, Melise Chaves Silveira, Cláudio Marcos Rocha-de-Souza, Robson Souza Leão, Ivson Cassiano de Oliveira Santos, Rodolpho Mattos Albano, Elizabeth Andrade Marques, Ana Paula D’Alincourt Carvalho-Assef, Fabricio Alves Barbosa da Silva
Publikováno v:
Frontiers in Microbiology, Vol 13 (2022)
Due to recent developments in NGS technologies, genome sequencing is generating large volumes of new data containing a wealth of biological information. Understanding sequenced genomes in a biologically meaningful way and delineating their functional
Externí odkaz:
https://doaj.org/article/d266b164678c4e1c912a94de1795ce0e
Autor:
Domenico Sgariglia, Alessandra Jordano Conforte, Carlos Eduardo Pedreira, Luis Alfredo Vidal de Carvalho, Flavia Raquel Gonçalves Carneiro, Nicolas Carels, Fabricio Alves Barbosa da Silva
Publikováno v:
Frontiers in Big Data, Vol 4 (2021)
Cancer is a genomic disease involving various intertwined pathways with complex cross-communication links. Conceptually, this complex interconnected system forms a network, which allows one to model the dynamic behavior of the elements that character
Externí odkaz:
https://doaj.org/article/6bce7ec3a11e4b8da67c20dce99afccf
Autor:
Jorge Guerra Pires, Gilberto Ferreira da Silva, Thomas Weyssow, Alessandra Jordano Conforte, Dante Pagnoncelli, Fabricio Alves Barbosa da Silva, Nicolas Carels
Publikováno v:
Frontiers in Genetics, Vol 12 (2021)
One aspect of personalized medicine is aiming at identifying specific targets for therapy considering the gene expression profile of each patient individually. The real-world implementation of this approach is better achieved by user-friendly bioinfo
Externí odkaz:
https://doaj.org/article/5f53ad0f5e764a508b596b11d9b543d0
Autor:
Andrea Henriques-Pons, Carine P. Beatrici, Juan Camilo Sánchez-Arcila, Fabricio Alves Barbosa da Silva
Publikováno v:
Frontiers in Bioengineering and Biotechnology, Vol 8 (2020)
Despite the remarkable evolution of flow cytometers, fluorescent probes, and flow cytometry analysis software, most users still follow the same ways for data analysis. Conventional flow cytometry analysis relies on the creation of dot plot sequences,
Externí odkaz:
https://doaj.org/article/fd5c437b86e6423b96f50944ae14faf0
Publikováno v:
Frontiers in Genetics, Vol 10 (2019)
Traditional approaches to cancer therapy seek common molecular targets in tumors from different patients. However, molecular profiles differ between patients, and most tumors exhibit inherent heterogeneity. Hence, imprecise targeting commonly results
Externí odkaz:
https://doaj.org/article/4b5fdc6b91e241bd9fcb665361d4aa5b
Autor:
Thiago Castanheira Merigueti, Marcia Weber Carneiro, Ana Paula D’A. Carvalho-Assef, Floriano Paes Silva-Jr, Fabricio Alves Barbosa da Silva
Publikováno v:
Frontiers in Genetics, Vol 10 (2019)
Background: Healthcare-associated infections (HAIs) are a serious public health problem. They can be associated with morbidity and mortality and are responsible for the increase in patient hospitalization. Antimicrobial resistance among pathogens cau
Externí odkaz:
https://doaj.org/article/bbde17c516f3454794f72b3f23714420