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.
Keywords: Drug discovery, artificial neural network
Current Drug Discovery Technologies
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.
Export Options
About this article
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
DOI https://dx.doi.org/10.2174/1570163811310010002 |
Print ISSN 1570-1638 |
Publisher Name Bentham Science Publisher |
Online ISSN 1875-6220 |
- Author Guidelines
- Graphical Abstracts
- Fabricating and Stating False Information
- Research Misconduct
- Post Publication Discussions and Corrections
- Publishing Ethics and Rectitude
- Increase Visibility of Your Article
- Archiving Policies
- Peer Review Workflow
- Order Your Article Before Print
- Promote Your Article
- Manuscript Transfer Facility
- Editorial Policies
- Allegations from Whistleblowers
- Announcements
Related Articles
-
Codon Usage Biases in Alzheimers Disease and Other Neurodegenerative Diseases
Protein & Peptide Letters Relations of Magnesium Intake with Metabolic Risk Factors and Risks of Type 2 Diabetes, Hypertension, and Cardiovascular Disease: A Critical Appraisal
Current Nutrition & Food Science Diabetes, Cognitive Function, and the Blood-Brain Barrier
Current Pharmaceutical Design Molecular Structural Characteristics of Estrogen Receptor Modulators as Determinants of Estrogen Receptor Selectivity
Mini-Reviews in Medicinal Chemistry Therapies in Development for Non-Infectious Uveitis
Current Molecular Medicine Inflammation and Arterial Hypertension: From Pathophysiological Links to Risk Prediction
Current Medicinal Chemistry Obesity: Pathophysiology and Clinical Management
Current Medicinal Chemistry Treatments for Obesity-Related Hypertension
Current Hypertension Reviews The Effects of Exercise on Postpartum Weight Retention in Overweight and Obese Women
Current Women`s Health Reviews Validation of TZD Scaffold as Potential ARIs: Pharmacophore Modeling, Atom-based 3D QSAR and Docking Studies
Combinatorial Chemistry & High Throughput Screening Clinical Research on the Aortic Elasticity in Patients with Type 1 Diabetes Mellitus Complicated with Hypertension
Current Medical Imaging Angiogenic and Antiangiogenic Factors in Proliferative Diabetic Retinopathy
Current Diabetes Reviews Mitochondria: “Mood Altering Organelles” that Impact Disease Throughout the Nervous System
Current Neurovascular Research Recent Advancements in Diagnosis and Therapy of Liver Cirrhosis
Current Drug Targets Glycemic Variability, Oxidative Stress, and Impact on Complications Related to Type 2 Diabetes Mellitus
Current Diabetes Reviews Novel Mutation of the NOTCH3 Gene in a Chinese Pedigree with CADASIL
CNS & Neurological Disorders - Drug Targets Current Therapy in Sarcoidosis, the Role of Existing Drugs and Future Medicine
Inflammation & Allergy - Drug Targets (Discontinued) Modulation of Proinflammatory Bacteria- and Lipid-Coupled Intracellular Signaling Pathways in a Transwell Triple Co-Culture Model by Commensal Bifidobacterium Animalis R101-8
Anti-Inflammatory & Anti-Allergy Agents in Medicinal Chemistry Considerations in the Pharmacotherapy of Bipolar Disorder During and After Pregnancy
Current Drug Safety Human Tissue Kallikrein: A New Bullet for the Treatment of Ischemia
Current Pharmaceutical Design