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      COVID-19 Disease Map, building a computational repository of SARS-CoV-2 virus-host interaction mechanisms

      brief-report
      1 , 1 , 2 , 3 , 4 , 5 , 6 , 7 ,   8 , 8 , 9 , 10 , 11 , 12 , 13 , 14 , 15 , 16 , 17 , 18 , 19 , 20 , 21 , 4 , 22 , 23 , 24 , 25 , 26 , 36 , 27 , 28 , 29 , 30 , 31 , 32 , 33 , 34 , 35 , 1 , 1 ,
      Scientific Data
      Nature Publishing Group UK
      Gene regulatory networks, Cellular signalling networks, Biochemical reaction networks, Computational models

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          Abstract

          Researchers around the world join forces to reconstruct the molecular processes of the virus-host interactions aiming to combat the cause of the ongoing pandemic.

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          Most cited references9

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          The Systems Biology Graphical Notation.

          Circuit diagrams and Unified Modeling Language diagrams are just two examples of standard visual languages that help accelerate work by promoting regularity, removing ambiguity and enabling software tool support for communication of complex information. Ironically, despite having one of the highest ratios of graphical to textual information, biology still lacks standard graphical notations. The recent deluge of biological knowledge makes addressing this deficit a pressing concern. Toward this goal, we present the Systems Biology Graphical Notation (SBGN), a visual language developed by a community of biochemists, modelers and computer scientists. SBGN consists of three complementary languages: process diagram, entity relationship diagram and activity flow diagram. Together they enable scientists to represent networks of biochemical interactions in a standard, unambiguous way. We believe that SBGN will foster efficient and accurate representation, visualization, storage, exchange and reuse of information on all kinds of biological knowledge, from gene regulation, to metabolism, to cellular signaling.
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            Is Open Access

            WikiPathways: a multifaceted pathway database bridging metabolomics to other omics research

            Abstract WikiPathways (wikipathways.org) captures the collective knowledge represented in biological pathways. By providing a database in a curated, machine readable way, omics data analysis and visualization is enabled. WikiPathways and other pathway databases are used to analyze experimental data by research groups in many fields. Due to the open and collaborative nature of the WikiPathways platform, our content keeps growing and is getting more accurate, making WikiPathways a reliable and rich pathway database. Previously, however, the focus was primarily on genes and proteins, leaving many metabolites with only limited annotation. Recent curation efforts focused on improving the annotation of metabolism and metabolic pathways by associating unmapped metabolites with database identifiers and providing more detailed interaction knowledge. Here, we report the outcomes of the continued growth and curation efforts, such as a doubling of the number of annotated metabolite nodes in WikiPathways. Furthermore, we introduce an OpenAPI documentation of our web services and the FAIR (Findable, Accessible, Interoperable and Reusable) annotation of resources to increase the interoperability of the knowledge encoded in these pathways and experimental omics data. New search options, monthly downloads, more links to metabolite databases, and new portals make pathway knowledge more effortlessly accessible to individual researchers and research communities.
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              Protein interaction data curation: the International Molecular Exchange (IMEx) consortium.

              The International Molecular Exchange (IMEx) consortium is an international collaboration between major public interaction data providers to share literature-curation efforts and make a nonredundant set of protein interactions available in a single search interface on a common website (http://www.imexconsortium.org/). Common curation rules have been developed, and a central registry is used to manage the selection of articles to enter into the dataset. We discuss the advantages of such a service to the user, our quality-control measures and our data-distribution practices.
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                Author and article information

                Contributors
                reinhard.schneider@uni.lu
                Journal
                Sci Data
                Sci Data
                Scientific Data
                Nature Publishing Group UK (London )
                2052-4463
                5 May 2020
                5 May 2020
                2020
                : 7
                : 136
                Affiliations
                [1 ]ISNI 0000 0001 2295 9843, GRID grid.16008.3f, Luxembourg Centre for Systems Biomedicine, , University of Luxembourg, ; Belvaux, Luxembourg
                [2 ]ISNI 0000 0004 0626 690X, GRID grid.419890.d, Ontario Institute for Cancer Research, ; Toronto, Canada
                [3 ]ISNI 0000 0001 1954 7928, GRID grid.264091.8, College of Pharmacy and Health Sciences, , St. John’s University, ; Queens, NY USA
                [4 ]Institut Curie, PSL Research University, Mines Paris Tech, Inserm, Paris, France
                [5 ]ISNI 0000 0004 1792 471X, GRID grid.434726.0, Department of Biology, , Univ. Évry, University of Paris-Saclay, Genopole, ; 91025 Évry, France
                [6 ]ISNI 0000 0000 9709 7726, GRID grid.225360.0, European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), ; Hinxton, UK
                [7 ]ISNI 0000 0004 0572 7110, GRID grid.249878.8, Institute of Data Science and Biotechnology, , Gladstone Institutes, ; San Francisco, United States
                [8 ]ISNI 0000 0001 0481 6099, GRID grid.5012.6, Department of Bioinformatics-BiGCaT, NUTRIM, , Maastricht University, ; Maastricht, The Netherlands
                [9 ]ISNI 0000 0001 0481 6099, GRID grid.5012.6, Maastricht Centre for Systems Biology, , Maastricht University, ; Maastricht, The Netherlands
                [10 ]ISNI 0000 0004 0483 2525, GRID grid.4567.0, Helmholtz Zentrum München, Institute of Computational Biology, ; Neuherberg, Germany
                [11 ]ISNI 0000000123222966, GRID grid.6936.a, Center for Mathematics, Technische Universität München, ; Garching, Germany
                [12 ]ISNI 0000 0001 2240 3300, GRID grid.10388.32, Faculty of Mathematics and Natural Sciences, , University of Bonn, ; Bonn, Germany
                [13 ]ISNI 0000 0001 0658 7699, GRID grid.9811.1, University of Konstanz, Department of Computer and Information Science, ; Konstanz, Germany
                [14 ]ISNI 0000 0004 1936 7857, GRID grid.1002.3, Monash University, Faculty of Information Technology, ; Melbourne, Australia
                [15 ]ISNI 0000 0001 2190 1447, GRID grid.10392.39, Computational Systems Biology of Infection and Antimicrobial-Resistant Pathogens, Institute for Bioinformatics and Medical Informatics (IBMI), , University of Tübingen, ; 72076 Tübingen, Germany
                [16 ]ISNI 0000 0001 2190 1447, GRID grid.10392.39, Department of Computer Science, , University of Tübingen, ; 72076 Tübingen, Germany
                [17 ]GRID grid.452463.2, German Center for Infection Research (DZIF), partner site, ; Tübingen, Germany
                [18 ]ISNI 0000 0000 9758 5690, GRID grid.5288.7, Department of Molecular and Medical Genetics, School of Medicine, , Oregon Health & Science University, ; Portland, USA
                [19 ]ISNI 0000000121858338, GRID grid.10493.3f, Department of Systems Biology & Bioinformatics, , University of Rostock, ; Rostock, Germany
                [20 ]ISNI 0000 0001 2214 904X, GRID grid.11956.3a, Stellenbosch Institute of Advanced Study (STIAS), , Wallenberg Research Centre at Stellenbosch University, ; 7602 Stellenbosch, South Africa
                [21 ]ISNI 0000 0001 2172 2676, GRID grid.5612.0, Research Programme on Biomedical Informatics, Hospital del Mar Medical Research Institute, Department of Experimental and Health Sciences, , Pompeu Fabra University, ; Barcelona, Spain
                [22 ]ISNI 0000 0000 9542 1158, GRID grid.411109.c, Clinical Bioinformatics Area, Fundación Progreso y Salud. Hosp. Virgen del Rocío, ; Sevilla, Spain
                [23 ]ISNI 0000 0000 9542 1158, GRID grid.411109.c, Bioinformatics in Rare Diseases. Centro de Investigación Biomédica en Red de Enfermedades Raras, Fundación Progreso y Salud, Hosp. Virgen del Rocío, ; Sevilla, Spain
                [24 ]ISNI 0000 0000 9542 1158, GRID grid.411109.c, INB-ELIXIR-es, FPS, Hospital Virgen del Rocío, ; Sevilla, 42013 Spain
                [25 ]ISNI 0000 0000 9542 1158, GRID grid.411109.c, Institute of Biomedicine of Seville (IBIS), Hospital Virgen del Rocio, ; 41013 Sevilla, Spain
                [26 ]ISNI 0000 0001 2353 6535, GRID grid.428999.7, HIV, Inflammation and Persistence Unit, Virology Department, , Institut Pasteur, ; Paris, France
                [27 ]Dipartimento di Epidemiologia Ricerca Pre-Clinica e Diagnostica Avanzata, National Institute for Infectious Diseases “Lazzaro Spallanzani” I.R.C.C.S., Rome, Italy
                [28 ]COVID 19 INMI Network Medicine for IDs Study Group, National Institute for Infectious Diseases “Lazzaro Spallanzani” I.R.C.C.S., Rome, Italy
                [29 ]ISNI 0000 0004 0387 1602, GRID grid.10097.3f, Barcelona Supercomputer Center (BSC), ; Barcelona, Spain
                [30 ]ISNI 0000 0000 9601 989X, GRID grid.425902.8, Institucio Catalana de Recerca I Estudis Avançats (ICREA), ; Barcelona, Spain
                [31 ]ISNI 0000 0004 1936 9959, GRID grid.26091.3c, Department of Biosciences and Informatics, , Keio University, ; Yokohama, Kanagawa Japan
                [32 ]GRID grid.452864.9, The Systems Biology Institute, ; Shinagawa, Tokyo Japan
                [33 ]ISNI 0000 0000 9805 2626, GRID grid.250464.1, Okinawa Institute of Science and Technology Graduate University, ; Kunigami, Okinawa Japan
                [34 ]ISNI 0000 0004 1764 0071, GRID grid.452725.3, Sony Computer Science Laboratories, Inc., ; Tokyo, Japan
                [35 ]European Institute for Systems Biology and Medicine (EISBM), Vourles, France
                [36 ]Bio Sorbonne Paris Cité, Université de Paris, Paris, France
                Author information
                http://orcid.org/0000-0003-1473-370X
                http://orcid.org/0000-0001-7137-4171
                http://orcid.org/0000-0002-5766-1702
                http://orcid.org/0000-0002-9687-7426
                http://orcid.org/0000-0001-8479-0262
                http://orcid.org/0000-0001-7542-0286
                http://orcid.org/0000-0002-1240-5553
                http://orcid.org/0000-0003-2724-2002
                http://orcid.org/0000-0003-3318-120X
                http://orcid.org/0000-0002-6632-883X
                http://orcid.org/0000-0001-8076-7217
                http://orcid.org/0000-0003-0605-239X
                http://orcid.org/0000-0003-2226-7411
                http://orcid.org/0000-0002-8278-1618
                Article
                477
                10.1038/s41597-020-0477-8
                7200764
                32371892
                60f92f0b-f856-44de-9b4d-b91c704d28dd
                © The Author(s) 2020

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 14 April 2020
                : 24 April 2020
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                © The Author(s) 2020

                gene regulatory networks,cellular signalling networks,biochemical reaction networks,computational models

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