Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Martino Bertoni"'
Autor:
Adrià Fernández-Torras, Miquel Duran-Frigola, Martino Bertoni, Martina Locatelli, Patrick Aloy
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-18 (2022)
Biomedical data is accumulating at a fast pace and integrating it into a unified framework is a major challenge. Here, the authors present a resource that contains pre-calculated biomedical descriptors derived from a very large knowledge graph.
Externí odkaz:
https://doaj.org/article/ddf4c4315bb04ea8bfab9f36ae3913b0
Autor:
Martino Bertoni, Miquel Duran-Frigola, Pau Badia-i-Mompel, Eduardo Pauls, Modesto Orozco-Ruiz, Oriol Guitart-Pla, Víctor Alcalde, Víctor M. Diaz, Antoni Berenguer-Llergo, Isabelle Brun-Heath, Núria Villegas, Antonio García de Herreros, Patrick Aloy
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-13 (2021)
Small molecules bioactivity descriptors are enriched representations of compounds, reaching beyond chemical structures and capturing their known biological properties. Here the authors present a collection of deep neural networks able to infer bioact
Externí odkaz:
https://doaj.org/article/ea240240f3214f9098521acfd799be30
Publikováno v:
Journal of Limnology, Vol 75, Iss s1 (2016)
Limnologists have long recognized that one of the goals of their discipline is to increase its predictive capability. In recent years, the role of prediction in applied ecology escalated, mainly due to man’s increased ability to change the biospher
Externí odkaz:
https://doaj.org/article/16c563558ff34c699dd31501bc643c3e
Living a Big Data era in Biomedicine, there is an unmet need to systematically assess experimental observations in the context of available information. This assessment would offer a means for an unbiased validation of the results and provide an init
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::78192ee7283114d41d71ff3de34ebf5e
https://doi.org/10.1101/2023.03.09.531915
https://doi.org/10.1101/2023.03.09.531915
Autor:
Patrick Aloy, Núria Villegas, Martino Bertoni, Miquel Duran-Frigola, Modesto Orozco-Ruiz, Oriol Guitart-Pla, Pau Badia-i-Mompel, Antonio García de Herreros, Antoni Berenguer-Llergo, Eduardo Pauls, Víctor M. Díaz, Víctor Alcalde, Isabelle Brun-Heath
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-13 (2021)
Nature Communications
Nature Communications
Chemical descriptors encode the physicochemical and structural properties of small molecules, and they are at the core of chemoinformatics. The broad release of bioactivity data has prompted enriched representations of compounds, reaching beyond chem
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::21cd1c62763e24f3638f5c61c41e6560
https://doaj.org/article/ea240240f3214f9098521acfd799be30
https://doaj.org/article/ea240240f3214f9098521acfd799be30
Extending the small-molecule similarity principle to all levels of biology with the Chemical Checker
Autor:
Miquel Duran-Frigola, Patrick Aloy, Teresa Juan-Blanco, Oriol Guitart-Pla, Víctor Alcalde, David Amat, Eduardo Pauls, Martino Bertoni
Publikováno v:
Nature Biotechnology. 38:1087-1096
Small molecules are usually compared by their chemical structure, but there is no unified analytic framework for representing and comparing their biological activity. We present the Chemical Checker (CC), which provides processed, harmonized and inte
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5d3c03ad79f3f2e9ea4dc091c42ba06b
https://doi.org/10.1038/s41587-020-0502-7
https://doi.org/10.1038/s41587-020-0502-7
Autor:
Eugene F. Douglass, Robert J. Allaway, Bence Szalai, Wenyu Wang, Tingzhong Tian, Adrià Fernández-Torras, Ron Realubit, Charles Karan, Shuyu Zheng, Alberto Pessia, Ziaurrehman Tanoli, Mohieddin Jafari, Fangping Wan, Shuya Li, Yuanpeng Xiong, Miquel Duran-Frigola, Martino Bertoni, Pau Badia-i-Mompel, Lídia Mateo, Oriol Guitart-Pla, Verena Chung, Jing Tang, Jianyang Zeng, Patrick Aloy, Julio Saez-Rodriguez, Justin Guinney, Daniela S. Gerhard, Andrea Califano
Publikováno v:
Cell Reports Medicine
Summary The Columbia Cancer Target Discovery and Development (CTD2) Center is developing PANACEA, a resource comprising dose-responses and RNA sequencing (RNA-seq) profiles of 25 cell lines perturbed with ∼400 clinical oncology drugs, to study a tu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4d40d6404b3339a2d521e9a33b55fc64
http://europepmc.org/articles/PMC8784774
http://europepmc.org/articles/PMC8784774
Autor:
Patrick Aloy, Andrea Califano, Fangping Wan, Daniela S. Gerhard, Jing Tang, Yuanpeng Xiong, Shuya Li, Justin Guinney, Shuyu Zheng, Julio Saez-Rodriguez, Bence Szalai, Lidia Mateo, Jianyang Zeng, Ziaurrehman Tanoli, Verena Chung, Alberto Pessia, Martino Bertoni, Oriol Guitart-Pla, Eugene F Douglass, Tingzhong Tian, Wenyu Wang, Robert J. Allaway, Mohieddin Jafari, Pau Badia-i-Mompel, Miquel Duran-Frigola, Charles Karan, Ron Realubit, Adrià Fernández-Torras
Publikováno v:
SSRN Electronic Journal.
The Columbia Cancer Target Discovery and Development (CTD2) Center has developed PANACEA (PANcancer Analysis of Chemical Entity Activity), a collection of dose-response curves and perturbational profiles for 400 clinical oncology drugs in cell lines
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4218c4539690326ea7eb7a15348e2a27
https://doi.org/10.2139/ssrn.3784948
https://doi.org/10.2139/ssrn.3784948
Autor:
Martino Bertoni, Yuanpeng Xiong, Jing Tang, Charles Karan, Ziaurrehman Tanoli, Tingzhong Tian, Julio Saez-Rodriguez, Chung, Fangping Wan, Robert J. Allaway, Miquel Duran-Frigola, Shuya Li, Andrea Califano, Patrick Aloy, Justin Guinney, Daniela S. Gerhard, Shuyu Zheng, Ronald Realubit, Jianyang Zeng, Bence Szalai, Oriol Guitart-Pla, Wenyu Wang, Pau Badia-i-Mompel, Mohieddin Jafari, Alberto Pessia, Lidia Mateo, Adrià Fernández-Torras, Douglass Ef
SUMMARYThe Columbia Cancer Target Discovery and Development (CTD2) Center has developed PANACEA (PANcancer Analysis of Chemical Entity Activity), a collection of dose-response curves and perturbational profiles for 400 clinical oncology drugs in cell
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8d6105a6b5772c0f9a74a4d1989ec2ee
https://doi.org/10.1101/2020.12.21.423514
https://doi.org/10.1101/2020.12.21.423514
Autor:
Miquel Duran-Frigola, Martino Bertoni, Eduardo Pauls, Victor Alcalde, Gemma Turon, Nuria Villegas, Adria Fernandez-Torras, Carles Pons, Lidia Mateo, Oriol Guitart-Pla, Pau Badia-i-Mompel, Aleix Gimeno, Nicolas Soler, Isabelle Brun-Heath, Patrick Aloy
We present an online resource, based on small-molecule bioactivity signatures and natural language processing, to expand the portfolio of compounds with potential to treat COVID-19. By comparing the set of drugs reported to be potentially active agai
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::916e448565d17c85c4be57d94259ec66
https://doi.org/10.26434/chemrxiv.12178923
https://doi.org/10.26434/chemrxiv.12178923