Artificial neural network (ANN) in drug delivery and pharmaceutical research

4^th International Conference on Medicinal Chemistry & Computer Aided Drug Designing

November 02-04, 2015 Atlanta, USA

Kian Navaee

Shahre Daru Pharmaceutical Co., Iran

Posters-Accepted Abstracts: Med chem

Abstract :

Artificial Neural Networks (ANNs) technology models the pattern recognition capabilities of the neural networks of the brain. Similarly, to a single neuron in the brain, artificial neuron unit receives inputs from many external sources, processes them, and makes decisions. Interestingly, ANN simulates the biological nervous system and draws on analogues of adaptive biological neurons. ANNs do not require rigidly structured experimental designs and can map functions using historical or incomplete data, which makes them a powerful tool for simulation of various non-linear systems. ANNs have many applications in various fields, including engineering, psychology, medicinal chemistry and pharmaceutical research. Because of their capacity for making predictions, pattern recognition, and modeling, ANNs have been very useful in many aspects of pharmaceutical research including modeling of the brain neural network, analytical data analysis, drug modeling, protein structure and function, dosage optimization and manufacturing, pharmacokinetics and pharmacodynamics modeling, and in vitro-in vivo correlations. This presentation will discusse the applications of ANNs in drug delivery and pharmacological research.

Biography :

Email: kian.navaee@scientist.com