Science of the Science, Drug Discovery and Artificial Neural Networks

Title:Science of the Science, Drug Discovery and Artificial Neural Networks

Volume: 10 Issue: 1

Author(s): Jigneshkumar Patel

Affiliation:

Keywords: Drug discovery, artificial neural network

Abstract: Drug discovery process many times encounters complex problems, which may be difficult to solve by human intelligence. Artificial Neural Networks (ANNs) are one of the Artificial Intelligence (AI) technologies used for solving such complex problems. ANNs are widely used for primary virtual screening of compounds, quantitative structure activity relationship studies, receptor modeling, formulation development, pharmacokinetics and in all other processes involving complex mathematical modeling. Despite having such advanced technologies and enough understanding of biological systems, drug discovery is still a lengthy, expensive, difficult and inefficient process with low rate of new successful therapeutic discovery. In this paper, author has discussed the drug discovery science and ANN from very basic angle, which may be helpful to understand the application of ANN for drug discovery to improve efficiency.

Cite this article as:

Patel Jigneshkumar, Science of the Science, Drug Discovery and Artificial Neural Networks, Current Drug Discovery Technologies 2013; 10 (1) . https://dx.doi.org/10.2174/1570163811310010002