3DBionotes COVID-19 edition
| Autor: | Jose Ramon Macias, Marta Martinez Gonzalez, Rubén J. Sánchez-García, Sam Horrell, Alberto M Parra-Perez, Carlos Wert-Carvajal, Erney Ramírez-Aportela, José María Carazo, Pablo Conesa, Carlos Oscar S. Sorzano, Joan Segura Mora, Andrea Thorn |
|---|---|
| Přispěvatelé: | Consejo Superior de Investigaciones Científicas (España), Comunidad de Madrid, Ministerio de Ciencia, Innovación y Universidades (España), Instituto de Salud Carlos III, Agencia Estatal de Investigación (España), European Commission, Federal Ministry of Education and Research (Germany), German Research Foundation |
| Rok vydání: | 2021 |
| Předmět: |
Statistics and Probability
AcademicSubjects/SCI01060 Computer science media_common.quotation_subject Context (language use) computer.software_genre Biochemistry World Wide Web Inorganic Chemistry 03 medical and health sciences 0302 clinical medicine Structural Biology Server Quality (business) General Materials Science Physical and Theoretical Chemistry Molecular Biology 030304 developmental biology Pace media_common Structure (mathematical logic) 0303 health sciences Focus (computing) Virtual screening Condensed Matter Physics Computer Science Applications Computational Mathematics Applications Note Computational Theory and Mathematics Web service computer 030217 neurology & neurosurgery |
| Zdroj: | Bioinformatics Digital.CSIC. Repositorio Institucional del CSIC instname Digital.CSIC: Repositorio Institucional del CSIC Consejo Superior de Investigaciones Científicas (CSIC) |
| ISSN: | 1367-4803 |
| DOI: | 10.1093/bioinformatics/btab397 |
| Popis: | https://3dbionotes.cnb.csic.es/ws/covid19 The web platform 3DBionotes-WS integrates multiple Web Services and an interactive Web Viewer to provide a unified environment in which biological annotations can be analyzed in their structural context. Since the COVID-19 outbreak, new structural data from many viral proteins have been provided at a very fast pace. This effort includes many cryogenic Electron Microscopy (cryo-EM) studies, together with more traditional ones (X-rays, NMR), using several modeling approaches and complemented with structural predictions. At the same time, a plethora of new genomics and interactomics information (including fragment screening and structure-based virtual screening efforts) have been made available from different servers. In this context we have developed 3DBionotes-COVID-19 as an answer to: (1) The need to explore multi-omics data in a unified context with a special focus on structural information and (2) the drive to incorporate quality measurements, especially in the form of advanced validation metrics for cryogenic Electron Microscopy. We acknowledge financial support from: CSIC (PIE/COVID-19 number 202020E079), the Comunidad de Madrid through grant CAM (S2017/BMD-3817), the Spanish Ministry of Science and Innovation through projects (SEV 2017-0712, FPU-2015/264, PID2019-104757RB-I00 / AEI / 10.13039/501100011033), the Instituto de Salud Carlos III: PT17/0009/0010 (ISCIII-SGEFI / ERDF-) and the European Union and Horizon 2020 through grant: CORBEL (INFRADEV-01-2014- 1, Proposal 654248) and EOSC Life (INFRAEOSC-04-2018, Proposal: 824087). This work was supported by Instruct-ULTRA (Grant 731005), an EU H2020 project to further develop the services of Instruct-ERIC. Contributions from the Coronavirus Structural Task Force were supported by the German Federal Ministry of Education and Research [grant no. 05K19WWA] and Deutsche Forschungsgemeinschaft [project TH2135/2-1]. The authors acknowledge the support and the use of resources of Instruct, a Landmark ESFRI project. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|