Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Eloy Villasclaras Fernandez"'
Autor:
Daniela Dolciami, Eloy Villasclaras-Fernandez, Christos Kannas, Mirco Meniconi, Bissan Al-Lazikani, Albert A. Antolin
Publikováno v:
Journal of Cheminformatics, Vol 14, Iss 1, Pp 1-20 (2022)
Abstract Background Integration of medicinal chemistry data from numerous public resources is an increasingly important part of academic drug discovery and translational research because it can bring a wealth of important knowledge related to compoun
Externí odkaz:
https://doaj.org/article/f4b09ed7191441dfb6d8a4ffad630753
Autor:
Patrizio di Micco, Albert A Antolin, Costas Mitsopoulos, Eloy Villasclaras-Fernandez, Domenico Sanfelice, Daniela Dolciami, Pradeep Ramagiri, Ioan L Mica, Joseph E Tym, Philip W Gingrich, Huabin Hu, Paul Workman, Bissan Al-Lazikani
Publikováno v:
Nucleic Acids Research. 51:D1212-D1219
canSAR (https://cansar.ai) is the largest public cancer drug discovery and translational research knowledgebase. Now hosted in its new home at MD Anderson Cancer Center, canSAR integrates billions of experimental measurements from across molecular pr
Autor:
Albert A Antolin, Domenico Sanfelice, Alisa Crisp, Eloy Villasclaras Fernandez, Ioan L Mica, Yi Chen, Ian Collins, Aled Edwards, Susanne Müller, Bissan Al-Lazikani, Paul Workman
Publikováno v:
Nucleic Acids Research
We describe the Chemical Probes Portal (https://www.chemicalprobes.org/), an expert review-based public resource to empower chemical probe assessment, selection and use. Chemical probes are high-quality small-molecule reagents, often inhibitors, that
Autor:
Costas Mitsopoulos, Patrizio Di Micco, Eloy Villasclaras Fernandez, Daniela Dolciami, Esty Holt, Ioan L Mica, Elizabeth A Coker, Joseph E Tym, James Campbell, Ka Hing Che, Bugra Ozer, Christos Kannas, Albert A Antolin, Paul Workman, Bissan Al-Lazikani
Publikováno v:
Nucleic Acids Research
canSAR (http://cansar.icr.ac.uk) is the largest, public, freely available, integrative translational research and drug discovery knowledgebase for oncology. canSAR integrates vast multidisciplinary data from across genomic, protein, pharmacological,
Autor:
Harry Jubb, Aleksandras Gutmanas, Radka Svobodová, Stephen Anyango, Sreenath Nair, Manjeet Kumar, Jonathan D. Tyzack, Leandro G Radusky, Toby J. Gibson, Liang-Chin Huang, Luis Serrano, Eloy Villasclaras Fernandez, Sameer Velankar, Petr Škoda, Michael J.E. Sternberg, Mark N. Wass, Fábio Madeira, Christine A. Orengo, Rishabh Jain, Stuart A. MacGowan, Patrizio Di Micco, Sayoni Das, Emmanuel D. Levy, Natarajan Kannan, John M. Berrisford, Tom L. Blundell, Janet M. Thornton, Radoslav Krivak, Christos C. Kannas, Lukáš Pravda, Bissan Al-Lazikani, Jose M. Dana, Abhik Mukhopadhyay, David R. Armstrong, Saqib Mir, Mihaly Varadi, Franca Fraternali, Karel Berka, Mallur S. Madhusudhan, Jake E McGreig, Mandar Deshpande, Neera Borkakoti, Luca Parca, António J. M. Ribeiro, Ian Sillitoe, Henry J Martell, Manuela Helmer-Citterich, Sucharita Dey, David Hoksza, Gulzar Singh, Jaroslav Koča, Typhaine Paysan-Lafosse, Geoffrey J. Barton, Alfonso Valencia, Wim F. Vranken
Publikováno v:
Nucleic Acids Research
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The Protein Data Bank in Europe-Knowledge Base (PDBe-KB, https://pdbe-kb.org) is a community-driven, collaborative resource for literature-derived, manually curated and computationally predicted structural and functional annotations of macromolecular
Autor:
Costas Mitsopoulos, Albert A. Antolin, Patrizio Di Micco, Ian Collins, Ka Hing Che, Paul Workman, Joseph E. Tym, Domenico Sanfelice, James Campbell, Bissan Al-Lazikani, Ioan L. Micca, Eloy Villasclaras Fernandez
We describe an AI-enabled, integrated Coronavirus drug discovery knowledgebase, free for the research community. Its goal is to make accessible up to date information relevant to drug discovery for SARS-CoV-2 and other coronaviruses. It builds on gre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::66816a159e4242b8e0ef36ce4975546f
https://doi.org/10.26434/chemrxiv.12286877.v1
https://doi.org/10.26434/chemrxiv.12286877.v1