Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Éric Paquet"'
Autor:
Laura Van Driessche, Débora E. Santschi, Éric Paquet, David L. Renaud, Édith Charbonneau, Marie-Lou Gauthier, Michael A. Steele, Anaïs Chancy, Nicolas Barbeau-Grégoire, Sébastien Buczinski
Publikováno v:
Journal of Dairy Science, Vol 107, Iss 9, Pp 7276-7285 (2024)
ABSTRACT: The objective of this study was to examine the influence of different environmental factors on ATP luminometry measurements of feeding equipment and to investigate associations with health of preweaning calves and the levels of ATP identifi
Externí odkaz:
https://doaj.org/article/860b2fab7ee34e5d9fb87a48f2e01ba7
Autor:
Laura Van Driessche, Débora E. Santschi, Éric Paquet, David Renaud, Édith Charbonneau, Marie-Lou Gauthier, Anaïs Chancy, Nicolas Barbeau-Grégoire, Sébastien Buczinski
Publikováno v:
Journal of Dairy Science, Vol 106, Iss 12, Pp 8885-8896 (2023)
ABSTRACT: The objective of this study was to describe the cleaning practices currently used for preweaning calves on dairy farms in Quebec, Canada. In addition, contamination of feeding equipment for preweaning calves was described using ATP (express
Externí odkaz:
https://doaj.org/article/872f996cf3bd4da4a4fb03c58aaf461b
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 23, Iss , Pp 1641-1653 (2024)
Protein generation has numerous applications in designing therapeutic antibodies and creating new drugs. Still, it is a demanding task due to the inherent complexities of protein structures and the limitations of current generative models. Proteins p
Externí odkaz:
https://doaj.org/article/01c4b28fa2e14dcabbbda16e97deee68
Autor:
Eric Paquet, Farzan Soleymani, Gabriel St-Pierre-Lemieux, Herna Lydia Viktor, Wojtek Michalowski
Publikováno v:
Artificial Intelligence Chemistry, Vol 2, Iss 1, Pp 100030- (2024)
This paper presents a new approach for protein generation based on one-shot learning and hybrid quantum neural networks. Given a single protein complex, the system learns how to predict the remaining unknown properties, without resorting to autoregre
Externí odkaz:
https://doaj.org/article/e9a9ee4dbf884e63950b4412b349f053
Publikováno v:
Complex & Intelligent Systems, Vol 10, Iss 2, Pp 2067-2082 (2023)
Abstract The design of binder proteins for specific target proteins using deep learning is a challenging task that has a wide range of applications in both designing therapeutic antibodies and creating new drugs. Machine learning-based solutions, as
Externí odkaz:
https://doaj.org/article/3c5ac7bf6942443fa2e95ed628eb80fe
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 21, Iss , Pp 1324-1348 (2023)
Proteins mainly perform their functions by interacting with other proteins. Protein–protein interactions underpin various biological activities such as metabolic cycles, signal transduction, and immune response. However, due to the sheer number of
Externí odkaz:
https://doaj.org/article/686268db195147ce8e154664ebca585c
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 20, Iss , Pp 5316-5341 (2022)
Most proteins perform their biological function by interacting with themselves or other molecules. Thus, one may obtain biological insights into protein functions, disease prevalence, and therapy development by identifying protein–protein interacti
Externí odkaz:
https://doaj.org/article/2b09ef369da742df89c75ba1d18f5974
Publikováno v:
IEEE Access, Vol 10, Pp 90045-90055 (2022)
This work introduces novel approaches, based on geometrical deep learning, for predicting protein–protein interactions. A dataset containing both interacting and non-interacting proteins is selected from the Negatome Database. Interactions are pred
Externí odkaz:
https://doaj.org/article/339ca760f1014f05be3c335866866057
Autor:
Farzan Soleymani, Eric Paquet
Publikováno v:
Machine Learning with Applications, Vol 7, Iss , Pp 100255- (2022)
This paper presents a new deep learning framework, QuantumPath, for long-term stock price prediction, which is of great significance in portfolio management and risk mitigation, especially when the market becomes volatile due to unpredictable circums
Externí odkaz:
https://doaj.org/article/ef87a9b92ff84b10823d48c17790d7cf
Autor:
Aziza P Manceur, Wei Zou, Anne Marcil, Eric Paquet, Christine Gadoury, Bozena Jaentschke, Xuguang Li, Emma Petiot, Yves Durocher, Jason Baardsnes, Manuel Rosa-Calatrava, Sven Ansorge, Amine A Kamen
Publikováno v:
PLoS ONE, Vol 12, Iss 6, p e0180314 (2017)
Vaccination is the most effective course of action to prevent influenza. About 150 million doses of influenza vaccines were distributed for the 2015-2016 season in the USA alone according to the Centers for Disease Control and Prevention. Vaccine dos
Externí odkaz:
https://doaj.org/article/84d646f3a5fe4208a105f5bca7c272fb