2018
DOI: 10.1080/17460441.2019.1552936
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Advances in distributed computing with modern drug discovery

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Cited by 17 publications
(12 citation statements)
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References 112 publications
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“…Establishing good MLOps practices helps an organization make sure that model can be continuously updated and deployed as data is being added, and it can enable model sharing between teams by making sure that artifacts are continuously updated and deployed. [51]. If there is a need or opportunity to collaborate across organizations, such as between two or more pharmaceutical companies, the situation becomes even more complicated.…”
Section: Machine Learning Using Private Sensitive and Regulated Datamentioning
confidence: 99%
“…Establishing good MLOps practices helps an organization make sure that model can be continuously updated and deployed as data is being added, and it can enable model sharing between teams by making sure that artifacts are continuously updated and deployed. [51]. If there is a need or opportunity to collaborate across organizations, such as between two or more pharmaceutical companies, the situation becomes even more complicated.…”
Section: Machine Learning Using Private Sensitive and Regulated Datamentioning
confidence: 99%
“…The consequence is that there is the need to apply the most advanced HPC techniques and platforms to process the data and to turn them into real knowledge. This explains why all the available state‐of‐the‐art parallel and distributed solutions have been exploited in these fields …”
Section: Themes Of This Special Issuementioning
confidence: 99%
“…Recent reviews [97,98] and the "Click2Drug" catalog [99] give a vivid expression on describing many different sources for many partial solutionsavailable as semiautomated web services or as instances that may be started at one's independent disposal. How exactly a transfer of information between these tools should be performed, or how these tools should be run to generate redundant findings with then higher confidenceall this is yet to be clarifiedboth semantically and technically.…”
Section: Cloud-based Solutionsmentioning
confidence: 99%