Application of neural networks in structure-activity relationships

István Kövesdi, Maria Felisa Dominguez-Rodriguez, László Ôrfi, Gábor Náray-Szabó, András Varró, Julius Gy Papp, Péter Mátyus

Research output: Contribution to journalReview article

62 Citations (Scopus)

Abstract

Methodology and application of artificial neural networks in structure- activity relationships are reviewed focusing on the most frequently used three-layer feedforward back-propagation procedure. Two applications of neural networks are presented and a comparison of the performance with those of CoMFA and a classical QSAR analysis is also discussed.

Original languageEnglish
Pages (from-to)249-269
Number of pages21
JournalMedicinal Research Reviews
Volume19
Issue number3
DOIs
Publication statusPublished - May 6 1999

    Fingerprint

Keywords

  • Benzodiazepine receptor
  • Class I antiarrhythmic agents
  • CoMFA
  • Neural networks
  • Structure-activity relationships

ASJC Scopus subject areas

  • Molecular Medicine
  • Pharmacology
  • Drug Discovery

Cite this