Bryn Williams-Jones

Bryn Williams-Jones

Canterbury, England, United Kingdom
4K followers 500+ connections

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Experienced and successful drug discovery executive with over 30 years of experience in…

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Education

Publications

  • FAIRplus sustainability white paper - "FAIR is for life not just for Christmas"

    10.5281/zenodo.6373693

    FAIRplus seeks to establish ‘FAIRification’ processes that can be used at scale to ensure FAIRness of IMI data.

    The FAIRplus Sustainability White Paper discusses the approach that FAIRplus took to the sustainability of the core assets from the project and provides examples of the future sustainability plans for a number of the key deliverables including the FAIR Cookbook, Data set maturity (DSM) and Ethics best practices.

    The white paper also highlights challenges with…

    FAIRplus seeks to establish ‘FAIRification’ processes that can be used at scale to ensure FAIRness of IMI data.

    The FAIRplus Sustainability White Paper discusses the approach that FAIRplus took to the sustainability of the core assets from the project and provides examples of the future sustainability plans for a number of the key deliverables including the FAIR Cookbook, Data set maturity (DSM) and Ethics best practices.

    The white paper also highlights challenges with sustainability in the current approach to projects in IHI/IMI and makes some recommendations.

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  • Getting Digital Assets from Public–Private Partnership Research Projects through “The Valley of Death,” and Making Them Sustainable

    Frontiers in Medicine

    Projects in public–private partnerships, such as the Innovative Medicines Initiative (IMI), produce data services and platforms (digital assets) to help support the use of medical research data and IT tools. Maintaining these assets beyond the funding period of a project can be a challenge. The reason for that is the need to develop a business model that integrates the perspectives of all different stakeholders involved in the project, and these digital assets might not necessarily be…

    Projects in public–private partnerships, such as the Innovative Medicines Initiative (IMI), produce data services and platforms (digital assets) to help support the use of medical research data and IT tools. Maintaining these assets beyond the funding period of a project can be a challenge. The reason for that is the need to develop a business model that integrates the perspectives of all different stakeholders involved in the project, and these digital assets might not necessarily be addressing a problem for which there is an addressable market of paying customers. In this manuscript, we review four IMI projects and the digital assets they produced as a means of illustrating the challenges in making digital assets sustainable and the lessons learned. To progress digital assets beyond proof-of-concept into widely adopted tools, there is a need for continuation of multi-stakeholder support tailored to these assets. This would be best done by implementing a structure similar to the accelerators that are in place to help transform startup businesses into growing and thriving businesses. The aim of this article is to highlight the risk of digital asset loss and to provoke discussion on the concept of developing an “accelerator” for digital assets from public–private partnership research projects to increase the chance that digital assets will be sustained and continue to add value long after a project has ended.

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  • Big Data in Drug Discovery

    Progress in Medicinal Chemistry

    Interpretation of Big Data in the drug discovery community should enhance project timelines and reduce clinical attrition through improved early decision making. The issues we encounter start with the sheer volume of data and how we first ingest it before building an infrastructure to house it to make use of the data in an efficient and productive way. There are many problems associated with the data itself including general reproducibility, but often, it is the context surrounding an…

    Interpretation of Big Data in the drug discovery community should enhance project timelines and reduce clinical attrition through improved early decision making. The issues we encounter start with the sheer volume of data and how we first ingest it before building an infrastructure to house it to make use of the data in an efficient and productive way. There are many problems associated with the data itself including general reproducibility, but often, it is the context surrounding an experiment that is critical to success. Help, in the form of artificial intelligence (AI), is required to understand and translate the context. On the back of natural language processing pipelines, AI is also used to prospectively generate new hypotheses by linking data together. We explain Big Data from the context of biology, chemistry and clinical trials, showcasing some of the impressive public domain sources and initiatives now available for interrogation.

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  • Bioinformatics and Computational Biology in Drug Discovery and Development - Chapter

    Cambridge University Press

    Computational biology drives discovery through its use of high-throughput informatics approaches. This book provides a road map of the current drug development process and how computational biology approaches play a critical role across the entire drug discovery pipeline. Through the use of previously unpublished, real-life case studies the impact of a range of computational approaches are discussed at various phases of the pipeline. Additionally, a focus section provides innovative…

    Computational biology drives discovery through its use of high-throughput informatics approaches. This book provides a road map of the current drug development process and how computational biology approaches play a critical role across the entire drug discovery pipeline. Through the use of previously unpublished, real-life case studies the impact of a range of computational approaches are discussed at various phases of the pipeline. Additionally, a focus section provides innovative visualisation approaches, from both the drug discovery process as well as from other fields that utilise large datasets, recognising the increasing use of such technology. Serving the needs of early career and more experienced scientists, this up-to-date reference provides an essential introduction to the process and background of drug discovery, highlighting how computational researchers can contribute to that pipeline.
    Read more at http://www.cambridge.org/gb/academic/subjects/life-sciences/genomics-bioinformatics-and-systems-biology/bioinformatics-and-computational-biology-drug-discovery-and-development#U4bRQkUVgW6goYzW.99

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  • Precompetitive activity to address the biological data needs of drug discovery

    Nature Reviews Drug Discovery 13, 83–84 (2014) doi:10.1038/nrd4230

    Precompetitive activity to address the biological data needs of drug discovery

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  • Scientific competency questions as the basis for semantically enriched open pharmacological space development.

    Drug Discovery Today

    Azzaoui K, Jacoby E, Senger S, Rodríguez EC, Loza M, Zdrazil B, Pinto M, Williams AJ, de la Torre V, Mestres J, Pastor M, Taboureau O, Rarey M, Chichester C, Pettifer S, Blomberg N, Harland L, Williams-Jones B, Ecker GF.

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  • Towards interoperable bioscience data

    Nature Genetics

    Susanna-Assunta Sansone*, Philippe Rocca-Serra*, Dawn Field, Eamonn Maguire, Chris Taylor, Winston Hide, Oliver Hofmann, Hong Fang, Steffen Neumann, Weida Tong, Linda Amaral-Zettler, Kimberly Begley, Tim Booth, Lydie Bougueleret, Gully Burns, Brad Chapman, Tim Clark, Lee-Ann Coleman, Sudeshna Das, Antoine de Daruvar, Paula de Matos, Ian Dix, Scott Edmunds, Chris T. Evelo, Mark Forster, Pascale Gaudet, Jack Gilbert, Carole Goble, Julian L. Griffin, Daniel Jacob, Jos Kleinjans, Lee Harland…

    Susanna-Assunta Sansone*, Philippe Rocca-Serra*, Dawn Field, Eamonn Maguire, Chris Taylor, Winston Hide, Oliver Hofmann, Hong Fang, Steffen Neumann, Weida Tong, Linda Amaral-Zettler, Kimberly Begley, Tim Booth, Lydie Bougueleret, Gully Burns, Brad Chapman, Tim Clark, Lee-Ann Coleman, Sudeshna Das, Antoine de Daruvar, Paula de Matos, Ian Dix, Scott Edmunds, Chris T. Evelo, Mark Forster, Pascale Gaudet, Jack Gilbert, Carole Goble, Julian L. Griffin, Daniel Jacob, Jos Kleinjans, Lee Harland, Kenneth Haug, Henning Hermjakob, Shannan Ho Sui, Alain Laederach, Shaoguang Liang, Emily M. Merrill, Magali Roux, Jahn-Takeshi Saito, Richard H. Scheuerman, Christoph Steinbeck, Anne Trefethen, Bryn Williams-Jones, Katherine Wolstencroft, Ioannis Xenarios

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  • Lowering industry firewalls: pre-competitive informatics initiatives in drug discovery

    Nature Reviews Drug Discovery, 8 (9), 701-708 DOI: 10.1038/nrd2944

    Barnes, M., Harland, L., Foord, S., Hall, M., Dix, I., Thomas, S., Williams-Jones, B., & Brouwer, C. (2009). Lowering industry firewalls: pre-competitive informatics initiatives in drug discovery Nature Reviews Drug Discovery, 8 (9), 701-708 DOI: 10.1038/nrd2944

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  • High-throughput electronic biology: mining information for drug discovery

    Nature Reviews Drug Discovery 6(3) 220-230

    Loging, W.; Harland, L; Williams-Jones, B (2007).High-throughput electronic biology: mining information for drug discovery. Nature Reviews Drug Discovery 6(3) 220-230 DOI:10.1038/nrd2265

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Projects

  • FAIRplus

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    The FAIRplus project aims to develop tools and guidelines for making life science data FAIR (Findable, Accessible, Interoperable, Reusable). The project has 21 partners from academia and industry, and runs from January 2019 to December 2022 https://fairplus-project.eu

  • Big Data Europe

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    The growing digitization and networking process within our society has a large influence on all aspects of everyday life. Large amounts of data are being produced permanently, and when these are analyzed and interlinked they have the potential to create new knowledge and intelligent solutions for economy and society. Big Data can make important contributions to the technical progress in our societal key sectors and help shape business. What is needed are innovative technologies, strategies and…

    The growing digitization and networking process within our society has a large influence on all aspects of everyday life. Large amounts of data are being produced permanently, and when these are analyzed and interlinked they have the potential to create new knowledge and intelligent solutions for economy and society. Big Data can make important contributions to the technical progress in our societal key sectors and help shape business. What is needed are innovative technologies, strategies and competencies for the beneficial use of Big Data to address societal needs.

    BigDataEurope will undertake the foundational work for enabling European companies to build innovative multilingual products and services based on semantically interoperable, large-scale, multi-lingual data assets and knowledge, available under a variety of licenses and business models.

    BigDataEurope aims to:
    - collect requirements for the ICT infrastructure needed by data-intensive science practitioners tackling a wide range of societal challenges; covering all aspects of publishing and consuming semantically interoperable, large-scale, multi-lingual data assets and knowledge.

    - Design and implement an architecture for an infrastructure that meets requirements, minimizes the disruption to current workflows, and maximizes the opportunities to take advantage of the latest European RTD developments, including multilingual data harvesting, data analytics, and data visualization.

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  • Open PHACTS

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    Open PHACTS is building an Open Pharmacological Space in a 5-year knowledge management project of the Innovative Medicines Initiative (IMI), a unique partnership between the European Community and the European Federation of Pharmaceutical Industries and Associations (EFPIA).

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  • Open PHACTS

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    Open PHACTS is building an Open Pharmacological Space in a 3-year knowledge management project of the Innovative Medicines Initiative (IMI), a unique partnership between the European Community and the European Federation of Pharmaceutical Industries and Associations (EFPIA).

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