Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Paulo E. Santo"'
Autor:
Hugo Gizardin-Fredon, Paulo E. Santo, Marie-Eve Chagot, Bruno Charpentier, Tiago M. Bandeiras, Xavier Manival, Oscar Hernandez-Alba, Sarah Cianférani
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-13 (2024)
Abstract Chemical cross-linking reactions (XL) are an important strategy for studying protein-protein interactions (PPIs), including low abundant sub-complexes, in structural biology. However, choosing XL reagents and conditions is laborious and most
Externí odkaz:
https://doaj.org/article/3688e424b082493787ea3c02aaefe808
Autor:
Chloé Maurizy, Marc Quinternet, Yoann Abel, Céline Verheggen, Paulo E. Santo, Maxime Bourguet, Ana C.F. Paiva, Benoît Bragantini, Marie-Eve Chagot, Marie-Cécile Robert, Claire Abeza, Philippe Fabre, Philippe Fort, Franck Vandermoere, Pedro M.F. Sousa, Jean-Christophe Rain, Bruno Charpentier, Sarah Cianférani, Tiago M. Bandeiras, Bérengère Pradet-Balade, Xavier Manival, Edouard Bertrand
Publikováno v:
Nature Communications, Vol 9, Iss 1, Pp 1-16 (2018)
R2TP is an HSP90 co-chaperone composed of an RPAP3-PIH1D1 heterodimer, which binds two essential AAA+ ATPases RUVBL1/RUVBL2. Here authors use a structural approach to study RPAP3 and find an RPAP3-like protein (SPAG1) which also forms a co-chaperone
Externí odkaz:
https://doaj.org/article/f9bce095aa2a4c49a49a7a66e4c6ecf6
Autor:
Hugo Gizardin-Fredon, Paulo E. Santo, Marie-Eve Chagot, Bruno Charpentier, Tiago M. Bandeiras, Xavier Manival, Oscar Hernandez-Alba, Sarah Cianferani
Mass photometry (MP) is a versatile, fast and low sample-consuming biophysical technique that gained interest in structural biology to study noncovalent assemblies in native conditions. We report here on a novel method to perform MP analysis in denat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a43f2d9b19edbe06ae6afc9f00af2130
https://doi.org/10.1101/2023.05.30.542861
https://doi.org/10.1101/2023.05.30.542861
Autor:
Raphael Dos Santos Morais, Paulo E. Santo, Marie Ley, Cédric Schelcher, Yoann Abel, Laura Plassart, Evolène Deslignière, Marie-Eve Chagot, Marc Quinternet, Ana C.F. Paiva, Steve Hessmann, Nelly Morellet, Pedro M. F. Sousa, Franck Vandermoere, Edouard Bertrand, Bruno Charpentier, Tiago M. Bandeiras, Célia Plisson-Chastang, Céline Verheggen, Sarah Cianférani, Xavier Manival
Publikováno v:
Journal of Molecular Biology
Journal of Molecular Biology, Elsevier, 2022, 434 (19), pp.167760. ⟨10.1016/j.jmb.2022.167760⟩
Journal of Molecular Biology, 2022, 434 (19), pp.167760. ⟨10.1016/j.jmb.2022.167760⟩
Journal of Molecular Biology, Elsevier, 2022, 434 (19), pp.167760. ⟨10.1016/j.jmb.2022.167760⟩
Journal of Molecular Biology, 2022, 434 (19), pp.167760. ⟨10.1016/j.jmb.2022.167760⟩
International audience; DPCD is a protein that may play a role in cilia formation and whose absence leads to primary ciliary dyskinesia (PCD), a rare disease caused by impairment of ciliated cells. Except for high-throughput studies that identified D
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fd345e232f2d8530185141c08a5cbce2
https://hal.archives-ouvertes.fr/hal-03745381
https://hal.archives-ouvertes.fr/hal-03745381
Autor:
Franck Vandermoere, Tiago M. Bandeiras, Ana C. F. Paiva, Edouard Bertrand, Bruno Charpentier, Xavier Manival, Céline Verheggen, Marie-Eve Chagot, Pedro M. F. Sousa, Marc Quinternet, Marie-Cécile Robert, Philippe Fort, Paulo E. Santo, Jonathan Bizarro, Yoann Abel
Publikováno v:
Nucleic Acids Research
Nucleic Acids Research, Oxford University Press, In press, 49 (2), pp.1094-1113. ⟨10.1093/nar/gkaa1226⟩
Nucleic Acids Research, 2021, 49 (2), pp.1094-1113. ⟨10.1093/nar/gkaa1226⟩
Nucleic Acids Research, Oxford University Press, In press, 49 (2), pp.1094-1113. ⟨10.1093/nar/gkaa1226⟩
Nucleic Acids Research, 2021, 49 (2), pp.1094-1113. ⟨10.1093/nar/gkaa1226⟩
The PAQosome is a large complex composed of the HSP90/R2TP chaperone and a prefoldin-like module. It promotes the biogenesis of cellular machineries but it is unclear how it discriminates closely related client proteins. Among the main PAQosome clien
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aa3353ae141945db90b5fe30d422a6fb
https://doi.org/10.1093/nar/gkaa1226
https://doi.org/10.1093/nar/gkaa1226
Autor:
Thomas Chaffre, Paulo E. Santos, Gilles Le Chenadec, Estelle Chauveau, Karl Sammut, Benoit Clement
Publikováno v:
IEEE Access, Vol 11, Pp 123505-123518 (2023)
Deep Reinforcement Learning (DRL) methods are increasingly being applied in Unmanned Underwater Vehicles (UUV) providing adaptive control responses to environmental disturbances. However, in physical platforms, these methods are hindered by their inh
Externí odkaz:
https://doaj.org/article/40c202138ebc43089c8ef58386bb76f4
Autor:
José A. Brito, Paulo E. Santo, Henrique G. Colaço, Tiago M. Bandeiras, Francesca Malagrinò, Paula Leandro, Alessandro Giuffrè, André Gutierres, Paolo Sarti, João B. Vicente
Publikováno v:
Free Radical Biology and Medicine. 120:S159
Cystathionine β-synthase (CBS) plays a central role in hydrogen sulfide (H2S) metabolism in human (patho) physiology. Each CBS monomer is composed of a central catalytic domain containing a pyridoxal 5’-phosphate active site flanked by two regulat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::912d517dd69ad8de8d2edd5c00cad32a
https://doi.org/10.1016/j.freeradbiomed.2018.04.523
https://doi.org/10.1016/j.freeradbiomed.2018.04.523
Autor:
Lucas C. F. Domingos, Paulo E. Santos, Phillip S. M. Skelton, Russell S. A. Brinkworth, Karl Sammut
Publikováno v:
IEEE Access, Vol 10, Pp 117582-117596 (2022)
The illegal exploitation of protected marine environments has consistently threatened the biodiversity and economic development of coastal regions. Extensive monitoring in these– often remote– areas is challenging. Machine learning methods are us
Externí odkaz:
https://doaj.org/article/4d53525d425b45a1a216311bd74a1763
Autor:
Lucas C. F. Domingos, Paulo E. Santos, Phillip S. M. Skelton, Russell S. A. Brinkworth, Karl Sammut
Publikováno v:
Sensors, Vol 22, Iss 6, p 2181 (2022)
This paper presents a comprehensive overview of current deep-learning methods for automatic object classification of underwater sonar data for shoreline surveillance, concentrating mostly on the classification of vessels from passive sonar data and t
Externí odkaz:
https://doaj.org/article/64c5bc539846483ba5d23519a0a5b972