Book
AI3SD, OSM & RSC-CICAG Predicting the activity of Drug Candidates when there is no target Workshop Report
العنوان: | AI3SD, OSM & RSC-CICAG Predicting the activity of Drug Candidates when there is no target Workshop Report |
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المؤلفون: | Swain, Chris |
المساهمون: | Todd, Matthew, Kanza, Samantha, Frey, Jeremy G. |
بيانات النشر: | University of Southampton |
سنة النشر: | 2020 |
المجموعة: | University of Southampton: e-Prints Soton |
الوصف: | This one-day meeting brought together two highly topical areas of drug discovery. Firstly, the application of machine learning/artificial intelligence (ML/AI) approaches to the discovery of new drug leads and secondly, programs where the biological target is not clearly established - so-called phenotypic drug discovery. Whilst there have been a number of publications describing AI or machine learning approaches in drug discovery many use historical data sets that have been carefully cleaned and validated. Unfortunately, real world experimental data from a phenotypic screen is rarely clean and tidy and presents significant challenges to model builders. |
نوع الوثيقة: | book |
وصف الملف: | text |
اللغة: | English |
Relation: | https://eprints.soton.ac.uk/438123/1/AI3SD_Event_Series_Report_16_PredictingTheActivityOfDrugCandidatesWhenThereIsNoTarget.pdf; Swain, Chris , Todd, Matthew, Kanza, Samantha and Frey, Jeremy G. (eds.) (2020) AI3SD, OSM & RSC-CICAG Predicting the activity of Drug Candidates when there is no target Workshop Report (AI3SD-Event-Series, 16) University of Southampton 19pp. (doi:10.5258/SOTON/P0020 ). |
الاتاحة: | https://eprints.soton.ac.uk/438123/ https://eprints.soton.ac.uk/438123/1/AI3SD_Event_Series_Report_16_PredictingTheActivityOfDrugCandidatesWhenThereIsNoTarget.pdf |
Rights: | cc_by_4 |
رقم الانضمام: | edsbas.7847DC6C |
قاعدة البيانات: | BASE |
الوصف غير متاح. |