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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Gürdal, Gültekin;

    17-18 Temmuz 2023 tarihlerinde EOSC Future projesi kapsmında İzmir Yüksek Teknoloji Enstitüsü Kütüphanesi ev sahipliğinde gerçekleştirilen Avrupa Açık Bilim Bulutu Eğitmen Eğitim Çalıştayı açılış konuşması.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    ZENODO
    Other literature type . 2023
    License: CC BY
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    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    ZENODO
    Presentation . 2023
    License: CC BY
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      ZENODO
      Presentation . 2023
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Błaszczyńska, Marta; Melinščak Zlodi, Iva; Morka, Agata; Proudman, Vanessa; +1 Authors

    Given the dynamic rate of change in the OA books business models landscape, the OPERAS Open Access Business Models Special Interest Group launched a survey in 2021 to 1) improve our understanding of the scholarly publishing landscape and of the challenges that publishers face in the context of publishing OA monographs; and 2) to identify main trends (including opportunities and challenges) and the knowledge of collaborative funding and infrastructure models in OA publishing in Social Science and the Humanities. This white paper updates and expands an earlier version published in 2021, which presented the preliminary analysis of the findings. Despite a small sample of presses meaning that no strong trends ought to be discussed, several insights were drawn and should be considered important directions for the future. Key findings in the report have been grouped into three main areas: collaboration, funding, and support. The report found that, although not opposed to the idea, a majority of presses do not engage in collaboration, specifically collaborative models for shared infrastructure, mainly due to the lack of knowledge and information, or perceived lack of need. This indicates that, for OA books, we are still at the early stage of the adoption curve for collaborative shared infrastructure. In terms of funding, most publishers perceive themselves to be somewhat sustainable. For institutional publishers, parent organisations are crucial as providers of financial or non-monetary support of OA. In addition, most publishers stress the need to have more resources and rely on more than one funding source, including grants and subsidies. The report found that awareness-raising and targeted support and training could be used to engage the presses but further incentivisation may be required to encourage publishers to collaborate more widely. We believe that the insights from this white paper may be interesting to a number of projects, such as DIAMAS, OPERAS-PLUS, and Palomera and have presented areas for further research and more specific actionable points for these projects.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODO; Croatian Sci...arrow_drop_down
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    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODO; Croatian Sci...arrow_drop_down
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Berg, Hannes; Wirtz Martin, Maria A.; Altincekic, Nadide; Alshamleh, Islam; +20 Authors

    SARS-CoV-2 (SCoV2) and its variants of concern pose serious challenges to the public health. The variants increased challenges to vaccines, thus necessitating for development of new intervention strategies including anti-virals. Within the international Covid19-NMR consortium, we have identified binders targeting the RNA genome of SCoV2. We established protocols for the production and NMR characterization of more than 80 % of all SCoV2 proteins. Here, we performed an NMR screening using a fragment library for binding to 25 SCoV2 proteins and identified hits also against previously unexplored SCoV2 proteins. Computational mapping was used to predict binding sites and identify functional moieties (chemotypes) of the ligands occupying these pockets. Striking consensus was observed between NMR-detected binding sites of the main protease and the computational procedure. Our investigation provides novel structural and chemical space for structure-based drug design against the SCoV2 proteome. Angewandte Chemie. International Edition, 61 (46) ISSN:0570-0833 ISSN:1433-7851 ISSN:1521-3773

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    Research Collection
    Article . 2022
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      Research Collection
      Article . 2022
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Francis P. Crawley; ChallacePahlevan-Ibrekic;

    AI models, and Machine Learning (ML) in particular, are excellent tools that can be used by a learning healthcare system to immediately impact healthcare delivery and patient outcomes. To achieve high impact, researchers must be able to effectively communicate to ethics professionals the essential components of the specific system, so that IRBs (and IACUCS when such algorithms are used in animal research) can accurately calculate the risk/benefit profile of the model, and thus document their criteria for approval. However, this task is daunting at best, and often what is offered by way of system description is beyond the scope of most IRB members' expertise. There is some guidance from federal agencies, but additional discussion is necessary to identify true risk and possible benefit of such models so that the field can assess appropriate review pathways for AI and ML-centered research. Through in-depth discussion and case study review, this presentation will offer tools to identify AI/ML models used in research and their risks and benefits, and present practical strategies for regulatory review so that such research is implemented with the highest of ethical standards and the precision of good science. Case studies will be discussed to allow attendees to use materials later for training IRB members. Learning Objectives: Discuss various AI models and technologies that employ them Examine strategies to use when reviewing protocols with AI and ML components Identify risks and concerns regarding privacy and confidentiality Gain an understanding of US, EU and other international AI ethics standards that apply to IRB review The views presented here are those of the speakers. They do not necessarily reflect those of any organisation. Francis gratefully acknowledges the work Ukraine Clinical Research Support Initiative (UCRSI), of the International Science Council’s CODATA International Data Policy Committee (IDPC), and the EOSC-Future / RDA Artificial Intelligence & Data Visitation Working Group (AIDV-WG). Francis’ EOSC Future / RDA Ambassador for Ethics & Law and the EOSC-Future projects are co-funded by the European Union’s Horizon Programme call INFRAEOSC-03-2020 - Project ID 101017536. CODATA is funded by the International Science Council (ISC) and Horizon Europe as well as by other funding organisations. The Research Data Alliance (RDA) is funded by Horizon Europe as well as by other funding organisations (see here). Francis is grateful for the support provided by CODATA and the EOSC-Future and the RDA communities, structures, and secretariats.

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    ZENODO
    Presentation . 2023
    License: CC BY
    Data sources: Datacite
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    ZENODO
    Other literature type . 2023
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      Presentation . 2023
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      ZENODO
      Other literature type . 2023
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Ernst, Elisabeth;

    The OPERAS-PLUS Data Management Plan (DMP) provides information regarding the collection, management, and processing of data collected and/or produced during the project phase (1 September 2022-31 August 2025) and outlines measures to make this data FAIR (findable, accessible, interoperable, reusable).

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
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    ZENODO
    Project deliverable . 2023
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    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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    Other literature type . 2023
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    Authors: Birger Jerlehag;

    Discusses thew relations and dependencies between CoreTrustCertification and FAIR data objects principles.

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    Authors: Vučkovac, Obrad; Lazić, Aleksandra;

    This upload contains the report on piloting the application of a controlled vocabulary to REPOPSI, the open repository for research data hosted on the Open Science Framework (OSF) platform. The goal was to improve the Repository’s adherence to the FAIR principles (especially Interoperability and Reusability) by putting the REPOPSI metadata values into a machine-readable format and implementing a FAIR-compliant controlled vocabulary. The Python code to generate XML metadata documents in compliance with the latest version of the DataCite Metadata Schema (Version 4.4) is available at https://doi.org/10.5281/zenodo.8150869 This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 101017536 and is supported by the EOSC Future (https://eoscfuture.eu/) through the RDA (https://www.rd-alliance.org/) Open Call mechanism (https://eoscfuture-grants.eu/provider/research-data-alliance), based on evaluations of external, independent experts.

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    ZENODO
    Report . 2023
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    Authors: Müller, Eike; Carenza, Pierluca; Eckner, Christopher; Goobar, Ariel;

    The Fermi-LAT observations of SN 2023ixf, a Type II supernova in the nearby Pinwheel Galaxy, Messier 101 (M101), presents us with an excellent opportunity to constrain MeV-scale Axion-Like Particles (ALPs). By examining the photon decay signature from heavy ALPs that could be produced in the explosion, the existing constraints on the ALP-photon coupling can be improved, under optimistic assumptions, by up to a factor of $ \sim 2 $ for masses $ m_a \lesssim 3 $ MeV. Under very conservative assumptions, we find a bound that is slightly weaker than the existing ones for $ m_a \lesssim 0.5$ MeV. The exact reach of these searches depends mostly on properties of the SN progenitor. This study demonstrates the relevance of core-collapse supernovae, also beyond the Magellanic Clouds, as probes of fundamental physics. Comment: 10 pages, 2 figures. Matching version accepted in PRD

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    https://doi.org/10.48550/arxiv...
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      https://doi.org/10.48550/arxiv...
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    Authors: Hannes Berg; Maria A. Wirtz Martin; Nadide Altincekic; Islam Alshamleh; +79 Authors

    Work at BMRZ is supported by the state of Hesse. Work in Covid19-NMR was supported by the Goethe Corona Funds, by the IWBEFRE-program 20007375 of state of Hesse, the DFG through CRC902: “Molecular Principles of RNA-based regulation.” and through infrastructure funds (project numbers: 277478796, 277479031, 392682309, 452632086, 70653611) and by European Union’s Horizon 2020 research and innovation program iNEXT-discovery under grant agreement No 871037. BY-COVID receives funding from the European Union’s Horizon Europe Research and Innovation Programme under grant agreement number 101046203. “INSPIRED” (MIS 5002550) project, implemented under the Action “Reinforcement of the Research and Innovation Infrastructure,” funded by the Operational Program “Competitiveness, Entrepreneurship and Innovation” (NSRF 2014–2020) and co-financed by Greece and the EU (European Regional Development Fund) and the FP7 REGPOT CT-2011-285950—“SEE-DRUG” project (purchase of UPAT’s 700 MHz NMR equipment). The support of the CERM/CIRMMP center of Instruct-ERIC is gratefully acknowledged. This work has been funded in part by a grant of the Italian Ministry of University and Research (FISR2020IP_02112, ID-COVID) and by Fondazione CR Firenze. A.S. is supported by the Deutsche Forschungsgemeinschaft [SFB902/B16, SCHL2062/2-1] and the Johanna Quandt Young Academy at Goethe [2019/AS01]. M.H. and C.F. thank SFB902 and the Stiftung Polytechnische Gesellschaft for the Scholarship. L.L. work was supported by the French National Research Agency (ANR, NMR-SCoV2-ORF8), the Fondation de la Recherche Médicale (FRM, NMR-SCoV2-ORF8), FINOVI and the IR-RMN-THC Fr3050 CNRS. Work at UConn Health was supported by grants from the US National Institutes of Health (R01 GM135592 to B.H., P41 GM111135 and R01 GM123249 to J.C.H.) and the US National Science Foundation (DBI 2030601 to J.C.H.). Latvian Council of Science Grant No. VPP-COVID-2020/1-0014. National Science Foundation EAGER MCB-2031269. This work was supported by the grant Krebsliga KFS-4903-08-2019 and SNF-311030_192646 to J.O. P.G. (ITMP) The EOSC Future project is co-funded by the European Union Horizon Programme call INFRAEOSC-03-2020—Grant Agreement Number 101017536. Open Access funding enabled and organized by Projekt DEAL SARS-CoV-2 (SCoV2) and its variants of concern pose serious challenges to the public health. The variants increased challenges to vaccines, thus necessitating for development of new intervention strategies including anti-virals. Within the international Covid19-NMR consortium, we have identified binders targeting the RNA genome of SCoV2. We established protocols for the production and NMR characterization of more than 80 % of all SCoV2 proteins. Here, we performed an NMR screening using a fragment library for binding to 25 SCoV2 proteins and identified hits also against previously unexplored SCoV2 proteins. Computational mapping was used to predict binding sites and identify functional moieties (chemotypes) of the ligands occupying these pockets. Striking consensus was observed between NMR-detected binding sites of the main protease and the computational procedure. Our investigation provides novel structural and chemical space for structure-based drug design against the SCoV2 proteome. 12 pags., 4 figs., 3 tabs. Peer reviewed

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    Angewandte Chemie
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    https://doi.org/10.26083/tupri...
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      https://doi.org/10.26083/tupri...
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    Authors: Morales, Laura; Singer, Alexandra;

    A3 promotional material of the Open Science meeting point at the 2023 PolMeth conference at King's College London on 19-20 June

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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Gürdal, Gültekin;

    17-18 Temmuz 2023 tarihlerinde EOSC Future projesi kapsmında İzmir Yüksek Teknoloji Enstitüsü Kütüphanesi ev sahipliğinde gerçekleştirilen Avrupa Açık Bilim Bulutu Eğitmen Eğitim Çalıştayı açılış konuşması.

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    Authors: Błaszczyńska, Marta; Melinščak Zlodi, Iva; Morka, Agata; Proudman, Vanessa; +1 Authors

    Given the dynamic rate of change in the OA books business models landscape, the OPERAS Open Access Business Models Special Interest Group launched a survey in 2021 to 1) improve our understanding of the scholarly publishing landscape and of the challenges that publishers face in the context of publishing OA monographs; and 2) to identify main trends (including opportunities and challenges) and the knowledge of collaborative funding and infrastructure models in OA publishing in Social Science and the Humanities. This white paper updates and expands an earlier version published in 2021, which presented the preliminary analysis of the findings. Despite a small sample of presses meaning that no strong trends ought to be discussed, several insights were drawn and should be considered important directions for the future. Key findings in the report have been grouped into three main areas: collaboration, funding, and support. The report found that, although not opposed to the idea, a majority of presses do not engage in collaboration, specifically collaborative models for shared infrastructure, mainly due to the lack of knowledge and information, or perceived lack of need. This indicates that, for OA books, we are still at the early stage of the adoption curve for collaborative shared infrastructure. In terms of funding, most publishers perceive themselves to be somewhat sustainable. For institutional publishers, parent organisations are crucial as providers of financial or non-monetary support of OA. In addition, most publishers stress the need to have more resources and rely on more than one funding source, including grants and subsidies. The report found that awareness-raising and targeted support and training could be used to engage the presses but further incentivisation may be required to encourage publishers to collaborate more widely. We believe that the insights from this white paper may be interesting to a number of projects, such as DIAMAS, OPERAS-PLUS, and Palomera and have presented areas for further research and more specific actionable points for these projects.

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    Authors: Berg, Hannes; Wirtz Martin, Maria A.; Altincekic, Nadide; Alshamleh, Islam; +20 Authors

    SARS-CoV-2 (SCoV2) and its variants of concern pose serious challenges to the public health. The variants increased challenges to vaccines, thus necessitating for development of new intervention strategies including anti-virals. Within the international Covid19-NMR consortium, we have identified binders targeting the RNA genome of SCoV2. We established protocols for the production and NMR characterization of more than 80 % of all SCoV2 proteins. Here, we performed an NMR screening using a fragment library for binding to 25 SCoV2 proteins and identified hits also against previously unexplored SCoV2 proteins. Computational mapping was used to predict binding sites and identify functional moieties (chemotypes) of the ligands occupying these pockets. Striking consensus was observed between NMR-detected binding sites of the main protease and the computational procedure. Our investigation provides novel structural and chemical space for structure-based drug design against the SCoV2 proteome. Angewandte Chemie. International Edition, 61 (46) ISSN:0570-0833 ISSN:1433-7851 ISSN:1521-3773

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