Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Eric A. Philot"'
Autor:
Simone Queiroz Pantaleão, Lívia de Moraes Bomediano Camillo, Tainan Cerqueira Neves, Isabela de Godoy Menezes, Lucas Matheus Stangherlin, Helena Beatriz de Carvalho Ruthner Batista, Emma Poole, Michael Nevels, Eric Allison Philot, Ana Ligia Scott, Maria Cristina Carlan da Silva
Publikováno v:
PLoS ONE, Vol 18, Iss 11, p e0295457 (2023)
[This corrects the article DOI: 10.1371/journal.pone.0277953.].
Externí odkaz:
https://doaj.org/article/3002c9d93b11426f8f1124c73b8d01aa
Autor:
Simone Queiroz Pantaleão, Lívia de Moraes Bomediano Camillo, Tainan Cerqueira Neves, Isabela de Godoy Menezes, Lucas Matheus Stangherlin, Helena Beatriz de Carvalho Ruthner Batista, Emma Poole, Michael Nevels, Eric Alisson Philot, Ana Ligia Scott, Maria Cristina Carlan da Silva
Publikováno v:
PLoS ONE, Vol 17, Iss 11, p e0277953 (2022)
The human cytomegalovirus (HCMV) UL111A gene encodes several homologs of the cellular interleukin 10 (cIL-10). Alternative splicing in the UL111A region produces two relatively well-characterized transcripts designated cmvIL-10 (isoform A) and LAcmvI
Externí odkaz:
https://doaj.org/article/2da1874f5268464695e81e367ef29e83
Autor:
Ana C. H. Castro, Ítalo R. S. Bezerra, Aline M. Pascon, Gabriela H. da Silva, Eric A. Philot, Vivian L. de Oliveira, Rodrigo S. N. Mancini, Gabriel R. Schleder, Carlos E. Castro, Luciani R. S. de Carvalho, Bianca H. V. Fernandes, Eduardo M. Cilli, Paulo R. S. Sanches, Murilo Santhiago, Ives Charlie-Silva, Diego S. T. Martinez, Ana L. Scott, Wendel A. Alves, Renato S. Lima
Publikováno v:
ACS Nano. 16:14239-14253
Limitations of the recognition elements in terms of synthesis, cost, availability, and stability have impaired the translation of biosensors into practical use. Inspired by nature to mimic the molecular recognition of the anti-SARS-CoV-2 S protein an
Autor:
Simone Queiroz Pantaleão, Eric Allison Philot, Heberth de Paula, Mirela Inês de Sairre, Angelica Nakagawa Lima, Loren Monielly Pires, Raquel Alves dos Santos, Ana Ligia Scott, Kathia Maria Honorio
Publikováno v:
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Universidade de São Paulo (USP)
instacron:USP
Diabetes is a metabolic disorder that presents hyperglycemia and vascular complications due to the non-production of insulin or its inappropriate use by the body. One of the strategies to treat diabetes is the inhibition of dipeptidyl peptidase-4 (DP
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e6ed82148aea73da4383a49e9127aaac
Autor:
Simone Queiroz Pantaleão, Eric Allison Philot, Pedro Túlio de Resende-Lara, Angélica Nakagawa Lima, David Perahia, Maria Atanassova Miteva, Ana Ligia Scott, Kathia Maria Honorio
Publikováno v:
Molecules, Vol 23, Iss 2, p 490 (2018)
Dipeptidyl peptidase-4 (DPP-4) is a target to treat type II diabetes mellitus. Therefore, it is important to understand the structural aspects of this enzyme and its interaction with drug candidates. This study involved molecular dynamics simulations
Externí odkaz:
https://doaj.org/article/b49d54a2c74f49f791eaf68dfd97811b
Autor:
Eric Allison Philot, Jean Carlos de Mattos, David Perahia, Andre Klioussof, Patricia Gasparini, Angelo J. Magro, Ana Ligia Scott, Roberto Navarro Quiroz, Enndrew Torres-Bonfim
The main protease of SARS-CoV-2 (called Mpro or 3CLpro) is essential for processing polyproteins encoded by viral RNA. Macromolecules adopt several favored conformations in solution depending on their structure and shape, determining their dynamics a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2111c35a4f347888f05eb083fe95ec38
https://doi.org/10.1101/2021.07.17.452787
https://doi.org/10.1101/2021.07.17.452787
Publikováno v:
Applied Mathematics and Computation. 359:502-511
The phenomenon of protein aggregation has been associated with several neurodegenerative diseases, such as Parkinson's and Alzheimer's. Computational tools have been used to predict regions prone to aggregate in proteins with relative success. We hav
Autor:
Valdecir Farias Ximenes, Eric Allison Philot, Aguinaldo Robinson de Souza, Angélica Nakagawa Lima, Ana Ligia Scott, Debora Naliati de Vasconcelos, Nelson H. Morgon, Izabelle Amorim Ferreira Boza
Publikováno v:
Scopus
Repositório Institucional da UNESP
Universidade Estadual Paulista (UNESP)
instacron:UNESP
Repositório Institucional da UNESP
Universidade Estadual Paulista (UNESP)
instacron:UNESP
Made available in DSpace on 2019-10-06T17:14:12Z (GMT). No. of bitstreams: 0 Previous issue date: 2019-01-01 Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) Vani
Autor:
Eric Allison Philot, Pedro Túlio de Resende Lara, Luiza de Carvalho Bertozo, Ana Ligia Scott, Valdecir Farias Ximenes, Angélica Nakagawa Lima
Publikováno v:
Scopus
Repositório Institucional da UNESP
Universidade Estadual Paulista (UNESP)
instacron:UNESP
Repositório Institucional da UNESP
Universidade Estadual Paulista (UNESP)
instacron:UNESP
Made available in DSpace on 2019-10-06T16:52:48Z (GMT). No. of bitstreams: 0 Previous issue date: 2019-02-05 Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) Due
Autor:
Vinícius Gonçalves Maltarollo, Luis Paulo Barbour Scott, Káthia Maria Honório, Angélica Nakagawa Lima, Eric Allison Philot, Gustavo Henrique Goulart Trossini
Publikováno v:
Expert opinion on drug discovery. 11(3)
The use of computational tools in the early stages of drug development has increased in recent decades. Machine learning (ML) approaches have been of special interest, since they can be applied in several steps of the drug discovery methodology, such