Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Paul Francoeur"'
Autor:
Andrew T. McNutt, Paul Francoeur, Rishal Aggarwal, Tomohide Masuda, Rocco Meli, Matthew Ragoza, Jocelyn Sunseri, David Ryan Koes
Publikováno v:
Journal of Cheminformatics, Vol 13, Iss 1, Pp 1-20 (2021)
Abstract Molecular docking computationally predicts the conformation of a small molecule when binding to a receptor. Scoring functions are a vital piece of any molecular docking pipeline as they determine the fitness of sampled poses. Here we describ
Externí odkaz:
https://doaj.org/article/0acbd65d6e0e448cb2dda39d3167906b
Autor:
Michael Brocidiacono, Paul Francoeur, Rishal Aggarwal, Konstantin Popov, David Koes, Alexander Tropsha
Recent attempts at utilizing deep learning for structure-based virtual screening have focused on training models to predict binding affinity from protein-ligand complexes with known crystal structures. The PDBbind dataset is the current standard for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0b45355308f5271c679287bfca6a7d56
https://doi.org/10.26434/chemrxiv-2022-3qc9t
https://doi.org/10.26434/chemrxiv-2022-3qc9t
The immense size of chemical space, the relative scarcity of high quality data, and the cost of running experiments to accurately measure molecular properties makes active learning (AL) an attractive approach to efficiently explore the space and trai
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::58e91e427bc56fe8c11d27e1b3664363
https://doi.org/10.26434/chemrxiv-2022-8w1q0
https://doi.org/10.26434/chemrxiv-2022-8w1q0
One of the main challenges in drug discovery is predicting protein-ligand binding affinity. Recently, machine learning approaches have made substantial progress on this task. However, current methods of model evaluation are overly optimistic in measu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6ab70dcfd066a54436daf4a13d997e7a
https://doi.org/10.26434/chemrxiv.11833323.v1
https://doi.org/10.26434/chemrxiv.11833323.v1
Autor:
Paul Francoeur
Publikováno v:
Documentation et bibliothèques. 36:5-9
L’auteur tente de dégager certaines caractéristiques des Services documentaires multimedia (SDM), organisme unique dans le monde francophone. Des débuts quelque peu incertains jusqu’à la reconnaissance finale de la qualité de sa gestion admi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4c6c5bec311addab505465dd3afabbd7
https://doi.org/10.7202/1028197ar
https://doi.org/10.7202/1028197ar
Autor:
Roberta Pelanda, Scott Kopetz, Christopher H. Lieu, Gail Eckhardt, Jill E. Slansky, Sarah Lindsey Davis, Stacey M. Bagby, Anna Capasso, John J. Tentler, Todd M. Pitts, Julie E. Lang, Paul Francoeur
Publikováno v:
Cancer Research. 77:1662-1662
Introduction: Agents that reverse T cell inhibitory signals have reinvigorated the strategy of cancer immunotherapy and are leading to robust clinical responses. In colorectal cancer (CRC), objective responses to single-agent therapy with anti-PD-1/P
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::13571125456cdbb8dcc78f91286162e8
https://doi.org/10.1158/1538-7445.am2017-1662
https://doi.org/10.1158/1538-7445.am2017-1662
Autor:
Sarah Lindsey Davis, Jennifer R. Diamond, Stacey M. Bagby, John J. Tentler, Julie Lang, Paul Francoeur, Anna Capasso, Christopher H. Lieu, Todd M. Pitts, Roberta Pelanda, S. Gail Eckhardt, Anthony D. Piscopio
Publikováno v:
Journal of Clinical Oncology. 35:e14604-e14604
e14604 Background: There is great interest in investigating immune checkpoint inhibition in combination with novel agents, however, preclinical studies are limited by the lack of immune-competent human cancer cell line xenograft models. We developed
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bd39d9131fc09e89d89a26ca5b48d490
https://doi.org/10.1200/jco.2017.35.15_suppl.e14604
https://doi.org/10.1200/jco.2017.35.15_suppl.e14604