Applications of Neural Networks in the Medicinal Chemistry Field

Title: Applications of Neural Networks in the Medicinal Chemistry Field

Volume: 1 Issue: 3

Author(s): Carmen Ochoa, Antonio Chana and Manfred Stud

Affiliation:

Abstract: Since the early nineties the number of scientific papers dealing with the applications of artificial neural networks (ANNs) in medicinal chemistry and medicine fields has been dramatically increasing. In this review, the applications of artificial neural networks in QSAR, concerning the classification or prediction of a biological activity, conformation searching, receptor docking and molecular design, are reviewed over the last five years. The different models of neural network used, the selection of descriptors, the comparison of results obtained by employing ANNs and other computational methods in QSAR studies, are commented. An overview of the new computer program (CODES) to generate molecular descriptors by encoding organic molecules, which are useful inputs of neural networks, is provided.

Cite this article as:

Ochoa Carmen, Chana Antonio and Stud Manfred, Applications of Neural Networks in the Medicinal Chemistry Field, Current Medicinal Chemistry - Central Nervous System Agents 2001; 1 (3) . https://dx.doi.org/10.2174/1568015013358419