PAIN(S) relievers for medicinal chemists: How computational methods can assist in hit evaluation

Link:
Autor/in:
Erscheinungsjahr:
2018
Medientyp:
Text
Schlagworte:
  • Drug Discovery
  • Chemistry
  • Pharmaceutical
  • Interference compounds
  • Quantitative Structure-Activity Relationship
  • Pharmaceutical Preparations
  • Drug Discovery
  • Chemistry
  • Pharmaceutical
  • Interference compounds
  • Quantitative Structure-Activity Relationship
  • Pharmaceutical Preparations
  • aggregators
  • in vitro screening
  • frequent hitters
  • in silico prediction
  • machine learning
  • rule-based approaches
  • molecular similarity
  • promiscuous compounds
  • PAINS
  • statistical methods
Lizenz:
  • info:eu-repo/semantics/openAccess
Quellsystem:
Forschungsinformationssystem der UHH
Interne Metadaten
Quelldatensatz
oai:www.edit.fis.uni-hamburg.de:publications/5d557aa2-17cc-44a4-a410-80494f63a1d5