AI3SD, OSM & RSC-CICAG Predicting the activity of Drug Candidates when there is no target Workshop Report

التفاصيل البيبلوغرافية
العنوان: AI3SD, OSM & RSC-CICAG Predicting the activity of Drug Candidates when there is no target Workshop Report
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