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  1. Article ; Online: Al-novation: Finding New Uses for Artificial Intelligence Across Industries.

    Ekins, Sean

    GEN biotechnology

    2022  Volume 1, Issue 5, Page(s) 444–446

    Abstract: As we have seen throughout history, people and indeed companies can catalyze dramatic changes through invention and innovations. They can create new fields of science that did not exist before. In doing so, new technologies can reshape cities and create ... ...

    Abstract As we have seen throughout history, people and indeed companies can catalyze dramatic changes through invention and innovations. They can create new fields of science that did not exist before. In doing so, new technologies can reshape cities and create unintended consequences. We are now in a different era in which the development of artificial intelligence (AI) is both being rapidly applied in many areas of science
    Language English
    Publishing date 2022-10-24
    Publishing country United States
    Document type Journal Article
    ISSN 2768-1556
    ISSN (online) 2768-1556
    DOI 10.1089/genbio.2022.0025
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Book: Computational toxicology

    Ekins, Sean

    risk assessment for pharmaceutical and environmental chemicals

    (Wiley series on technologies for the pharmaceutical industry)

    2007  

    Author's details ed. by Sean Ekins
    Series title Wiley series on technologies for the pharmaceutical industry
    Keywords Toxicology / methods ; Computer Simulation ; Risk Assessment ; Drug Toxicity ; Environmental Pollutants / toxicity ; Toxicology/Mathematical models ; Toxicology/Computer simulation ; QSAR (Biochemistry)
    Subject code 615.90015118
    Language English
    Size XXII, 814 S., [8 Bl.] : Ill., graph. Darst.,
    Publisher Wiley-Interscience
    Publishing place Hoboken, NJ
    Publishing country United States
    Document type Book
    HBZ-ID HT015285529
    ISBN 0-470-04962-6 ; 978-0-470-04962-4
    Database Catalogue ZB MED Medicine, Health

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    Shelf markLoan statusLocation
    2007 A 5441 order for loan Magazin

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  3. Article ; Online: Advancing the Research and Development of Enzyme Replacement Therapies for Lysosomal Storage Diseases.

    Puhl, Ana C / Ekins, Sean

    GEN biotechnology

    2022  Volume 1, Issue 2, Page(s) 156–162

    Abstract: With the increasing interest in developing gene therapies for rare diseases, it is easy to overlook that there are numerous rare lysosomal storage diseases (LSD) with treatments that have been approved by regulatory agencies in the United States and ... ...

    Abstract With the increasing interest in developing gene therapies for rare diseases, it is easy to overlook that there are numerous rare lysosomal storage diseases (LSD) with treatments that have been approved by regulatory agencies in the United States and Europe. These primarily consist of enzyme replacement therapies (ERT), which are recombinant human proteins that are delivered for the life of the patient via different routes and may have distinct safety and distribution advantages over gene therapies. The research and development of ERT is a lengthy and expensive process, which is usually performed in academic laboratories before transfer to pharmaceutical companies and is hence a process ripe for disruption. There may still be considerable scientific and investment potential for ERT, however we need to develop a pipeline of proteins analogous to what has been created in some open science efforts as well as apply technologies to decrease manufacturing costs. In this Perspective, we illustrate the opportunity to fill the rare LSD treatment gap with ERTs while gene therapies are in development for these life-shortening diseases.
    Language English
    Publishing date 2022-04-20
    Publishing country United States
    Document type Journal Article
    ISSN 2768-1556
    ISSN (online) 2768-1556
    DOI 10.1089/genbio.2021.0013
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: The Commoditization of AI for Molecule Design.

    Urbina, Fabio / Ekins, Sean

    Artificial intelligence in the life sciences

    2022  Volume 2

    Abstract: Anyone involved in designing or finding molecules in the life sciences over the past few years has witnessed a dramatic change in how we now work due to the COVID-19 pandemic. Computational technologies like artificial intelligence (AI) seemed to become ... ...

    Abstract Anyone involved in designing or finding molecules in the life sciences over the past few years has witnessed a dramatic change in how we now work due to the COVID-19 pandemic. Computational technologies like artificial intelligence (AI) seemed to become ubiquitous in 2020 and have been increasingly applied as scientists worked from home and were separated from the laboratory and their colleagues. This shift may be more permanent as the future of molecule design across different industries will increasingly require machine learning models for design and optimization of molecules as they become "designed by AI". AI and machine learning has essentially become a commodity within the pharmaceutical industry. This perspective will briefly describe our personal opinions of how machine learning has evolved and is being applied to model different molecule properties that crosses industries in their utility and ultimately suggests the potential for tight integration of AI into equipment and automated experimental pipelines. It will also describe how many groups have implemented generative models covering different architectures, for
    Language English
    Publishing date 2022-01-24
    Publishing country Netherlands
    Document type Journal Article
    ISSN 2667-3185
    ISSN (online) 2667-3185
    DOI 10.1016/j.ailsci.2022.100031
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Collaborating to Fight COVID-19 ; Absent a coordinated response, small companies resort to improvised collaborations

    Ekins, Sean

    Genetic Engineering & Biotechnology News

    2020  Volume 40, Issue 6, Page(s) 12–13

    Keywords Biotechnology ; Management of Technology and Innovation ; Bioengineering ; Biomedical Engineering ; covid19
    Language English
    Publisher Mary Ann Liebert Inc
    Publishing country us
    Document type Article ; Online
    ISSN 1935-472X
    DOI 10.1089/gen.40.06.04
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    Full text online

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  6. Article ; Online: Generative Artificial Intelligence-Assisted Protein Design Must Consider Repurposing Potential.

    Ekins, Sean / Brackmann, Maximilian / Invernizzi, Cédric / Lentzos, Filippa

    GEN biotechnology

    2023  Volume 2, Issue 4, Page(s) 296–300

    Abstract: Generative artificial intelligence software used for chemical and protein design has repurposing potential. We propose careful discussion in the biotech community on security considerations of such technologies and serious consideration of restrictions ... ...

    Abstract Generative artificial intelligence software used for chemical and protein design has repurposing potential. We propose careful discussion in the biotech community on security considerations of such technologies and serious consideration of restrictions to control who can access the software and what applications it is used for.
    Language English
    Publishing date 2023-08-17
    Publishing country United States
    Document type Journal Article
    ISSN 2768-1556
    ISSN (online) 2768-1556
    DOI 10.1089/genbio.2023.0025
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Preventing AI From Creating Biochemical Threats.

    Urbina, Fabio / Lentzos, Filippa / Invernizzi, Cédric / Ekins, Sean

    Journal of chemical information and modeling

    2023  Volume 63, Issue 3, Page(s) 691–694

    Abstract: We have previously applied our machine learning models for bioactivity and toxicity along with a generative algorithm to develop VX and tens of thousands of analogues. The publication brought attention to the ease of designing chemical warfare agents. In ...

    Abstract We have previously applied our machine learning models for bioactivity and toxicity along with a generative algorithm to develop VX and tens of thousands of analogues. The publication brought attention to the ease of designing chemical warfare agents. In this Viewpoint, we discuss 10 recommendations to prevent future biochemical threats.
    MeSH term(s) Organothiophosphorus Compounds ; Chemical Warfare Agents ; Machine Learning ; Algorithms
    Chemical Substances Organothiophosphorus Compounds ; Chemical Warfare Agents
    Language English
    Publishing date 2023-01-25
    Publishing country United States
    Document type Journal Article ; Research Support, N.I.H., Extramural
    ZDB-ID 190019-5
    ISSN 1549-960X ; 0095-2338
    ISSN (online) 1549-960X
    ISSN 0095-2338
    DOI 10.1021/acs.jcim.2c01616
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 1230: Show issues Location:
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    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (1.OG)
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  8. Article ; Online: Industrializing rare disease therapy discovery and development.

    Ekins, Sean

    Nature biotechnology

    2017  Volume 35, Issue 2, Page(s) 117–118

    MeSH term(s) Clinical Trials as Topic ; Drug Discovery ; Drug Industry ; Genetic Therapy ; Giant Axonal Neuropathy/therapy ; Humans ; Rare Diseases/therapy
    Language English
    Publishing date 2017-02-06
    Publishing country United States
    Document type Letter ; Research Support, N.I.H., Extramural
    ZDB-ID 1311932-1
    ISSN 1546-1696 ; 1087-0156
    ISSN (online) 1546-1696
    ISSN 1087-0156
    DOI 10.1038/nbt.3787
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Zs.MO 137: Show issues
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  9. Article ; Online: A summary of some EU funded Tuberculosis drug discovery collaborations.

    Ekins, Sean

    Drug discovery today

    2017  Volume 22, Issue 3, Page(s) 479–480

    MeSH term(s) Drug Discovery/economics ; Drug Discovery/organization & administration ; European Union/economics ; Humans ; Intersectoral Collaboration ; Research Support as Topic ; Tuberculosis/drug therapy
    Language English
    Publishing date 2017-03-21
    Publishing country England
    Document type Editorial ; Introductory Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 1324988-5
    ISSN 1878-5832 ; 1359-6446
    ISSN (online) 1878-5832
    ISSN 1359-6446
    DOI 10.1016/j.drudis.2017.03.002
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Zs.A 4725: Show issues Location:
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  10. Article ; Online: Learning from COVID-19: How drug hunters can prepare for the next pandemic.

    Puhl, Ana C / Lane, Thomas R / Ekins, Sean

    Drug discovery today

    2023  Volume 28, Issue 10, Page(s) 103723

    Abstract: Over 3 years, the SARS-CoV-2 pandemic killed nearly 7 million people and infected more than 767 million globally. During this time, our very small company was able to contribute to antiviral drug discovery efforts through global collaborations with other ...

    Abstract Over 3 years, the SARS-CoV-2 pandemic killed nearly 7 million people and infected more than 767 million globally. During this time, our very small company was able to contribute to antiviral drug discovery efforts through global collaborations with other researchers, which enabled the identification and repurposing of multiple molecules with activity against SARS-CoV-2 including pyronaridine tetraphosphate, tilorone, quinacrine, vandetanib, lumefantrine, cetylpyridinium chloride, raloxifene, carvedilol, olmutinib, dacomitinib, crizotinib, and bosutinib. We highlight some of the key findings from this experience of using different computational and experimental strategies, and detail some of the challenges and strategies for how we might better prepare for the next pandemic so that potential antiviral treatments are available for future outbreaks.
    MeSH term(s) Humans ; COVID-19 ; SARS-CoV-2 ; Antiviral Agents/pharmacology ; Antiviral Agents/therapeutic use ; Pandemics ; Tilorone ; Drug Repositioning
    Chemical Substances Antiviral Agents ; Tilorone (O6W7VEW6KS)
    Language English
    Publishing date 2023-07-22
    Publishing country England
    Document type Journal Article ; Research Support, N.I.H., Extramural
    ZDB-ID 1324988-5
    ISSN 1878-5832 ; 1359-6446
    ISSN (online) 1878-5832
    ISSN 1359-6446
    DOI 10.1016/j.drudis.2023.103723
    Database MEDical Literature Analysis and Retrieval System OnLINE

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