Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Nil Adell Mill"'
Autor:
Nathaniel H. Park, Matteo Manica, Jannis Born, James L. Hedrick, Tim Erdmann, Dmitry Yu. Zubarev, Nil Adell-Mill, Pedro L. Arrechea
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-15 (2023)
Abstract Advances in machine learning (ML) and automated experimentation are poised to vastly accelerate research in polymer science. Data representation is a critical aspect for enabling ML integration in research workflows, yet many data models imp
Externí odkaz:
https://doaj.org/article/701a0247664540b78e39c2b39912603c
Autor:
Nathaniel H. Park, Matteo Manica, Jannis Born, James L. Hedrick, Tim Erdmann, Dmitry Yu. Zubarev, Nil Adell-Mill, Pedro L. Arrechea
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-1 (2023)
Externí odkaz:
https://doaj.org/article/8a1f0c7a37a8468b9d873a5a194d79dc
Personalised immunotherapy aims to (re-)activate the immune system of a given patient against its tumour. It relies extensively on the ability of tumour-derived neoantigens to trigger a T-cell immune reaction able to recognise and kill the tumour cel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3cf5d94f2e1516eb4d6fcd95c47d6cda
https://doi.org/10.1101/2022.05.13.491845
https://doi.org/10.1101/2022.05.13.491845
Autor:
Teodoro Laino, Antonio Cardinale, Nil Adell Mill, María Rodríguez Martínez, Nikita Janakarajan, Modestas Filipavicius, Jannis Born, Joris Cadow, Greta Markert, Matteo Manica
Publikováno v:
Machine Learning: Science and Technology
Machine Learning: Science and Technology, 2 (2)
Machine Learning: Science and Technology, 2 (2)
Bridging systems biology and drug design, we propose a deep learning framework for de novo discovery of molecules tailored to bind with given protein targets. Our methodology is exemplified by the task of designing antiviral candidates to target SARS
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ceef35fcd5b24d9daa93247961865373
Autor:
Miguel A. L. Nicolelis, Alexei Ossadtchi, Mikhail A. Lebedev, Nil Adell Mill, Maria R. Cervera, Núria Armengol Urpi
Publikováno v:
Scientific Reports, 9 (1)
Scientific Reports, Vol 9, Iss 1, Pp 1-14 (2019)
Scientific Reports
Scientific Reports, Vol 9, Iss 1, Pp 1-14 (2019)
Scientific Reports
Back in 2012, Churchland and his colleagues proposed that “rotational dynamics”, uncovered through linear transformations of multidimensional neuronal data, represent a fundamental type of neuronal population processing in a variety of organisms,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::237097d5b1adc39c44c134f43224afe4
https://doi.org/10.1038/s41598-019-54760-4
https://doi.org/10.1038/s41598-019-54760-4
Publikováno v:
Molecular Cancer Therapeutics. 20:P006-P006
Personalised immunotherapy approaches rely on the ability of tumour-derived neoantigens to elicit a T-cell immune reaction able to recognise and kill the tumour cells expressing them. Clinical attempts to leverage the power of neoantigens have howeve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ff9a997d02d07f6cac259942d1bec468
https://doi.org/10.1158/1535-7163.targ-21-p006
https://doi.org/10.1158/1535-7163.targ-21-p006