Home|Journals|Articles by Year|Audio Abstracts
 

Review Article



Application of neural networks in the identification of pharmaceutical lead hits

Pukar Khanal, Kiran Kumar Hullatti.




Abstract
Cited by 0 Articles

Artificial neural networks (ANNs) are also known as a digitalized model of the mammalian brain and are used in pattern reorganization, including machine translation and speech reorganization. In addition, some attempts have been made to implement it in new drug design or discovery. Presently, the drug development process utilizes the complex approach in identifying a single lead hit which often fails multiple times due to its poor pharmacokinetic properties and severe side effects. This could be the outcome of poor screening approaches for hit candidates and neglecting the probable bias. However, ANNs can be helpful in decision-making for many researchers, as well as in clinical application. Also, for medicinal chemists, it may act as an effective tool to pick lead hit and predict the 3D protein confirmation to evaluate the effectiveness of the selected lead hit. The present study briefs on ANNs that can be used as a predictive tool to classify diseases, in vitro and in vivo data correlation, target identification, absorption, distribution, metabolism, excretion, and toxicity profiling, and its application in modern drug discovery.

Key words: Artificial neural network, Deep learning, Drug discovery, In silico, Machine learning






Full-text options


Share this Article


Online Article Submission
• ejmanager.com




ejPort - eJManager.com
Refer & Earn
JournalList
About BiblioMed
License Information
Terms & Conditions
Privacy Policy
Contact Us

The articles in Bibliomed are open access articles licensed under Creative Commons Attribution 4.0 International License (CC BY), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.