Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Miguel García-Ortegón"'
Publikováno v:
Journal of Cheminformatics, Vol 16, Iss 1, Pp 1-18 (2024)
Abstract Neural processes (NPs) are models for meta-learning which output uncertainty estimates. So far, most studies of NPs have focused on low-dimensional datasets of highly-correlated tasks. While these homogeneous datasets are useful for benchmar
Externí odkaz:
https://doaj.org/article/7af6b203851343bab1c5e2ea91a17608
Autor:
Miguel García-Ortegón, Gregor N. C. Simm, Austin J. Tripp, José Miguel Hernández-Lobato, Andreas Bender, Sergio Bacallado
Funder: Science and Technology Facilities Council
Funder: Wellcome Trust
The field of machine learning for drug discovery is witnessing an explosion of novel methods. These methods are often benchmarked on simple physicochemical properties
Funder: Wellcome Trust
The field of machine learning for drug discovery is witnessing an explosion of novel methods. These methods are often benchmarked on simple physicochemical properties
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b7b4ba91d0002402e0306502e3641bb2
Autor:
Carsten Sachse, Nicholas T. Ktistakis, Marie L. Kirsten, Lufei Zhang, Miguel García Ortegón, Olga Perisic, Maki Ohashi, Apostolos A. Apostolakis, Nicolas Soler, Glenn R. Masson, John E. Burke, Yohei Ohashi, Roger L. Williams, Christopher M. Johnson, Arjen J. Jakobi
Publikováno v:
'Autophagy ', vol: 12, pages: 2129-2144 (2016)
Autophagy
Autophagy
The phosphatidylinositol 3-kinase Vps34 is part of several protein complexes. The structural organization of heterotetrameric complexes is starting to emerge, but little is known about organization of additional accessory subunits that interact with