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: Review article

62 Citations (Scopus)


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
Issue number3
Publication statusPublished - máj. 6 1999


ASJC Scopus subject areas

  • Molecular Medicine
  • Pharmacology
  • Drug Discovery

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