Abstract
Elucidating the interaction relationship between target proteins and all drugs is critical for the discovery of new drug targets. However, it is a big challenge to integrate and optimize different feature information into one single “knowledge view” for drug-target interaction prediction. In this article, a feature selection method was proposed to rank the original feature sets. Then, an improved bipartite learning graph method was used to predict four types of drug-target datasets based on the optimized feature subsets. The crossvalidation results demonstrate that the proposed method can provide superior performance than previous method on four classes of drug target families.
Keywords: Drug-target interaction, feature selection method, improved bipartite learning graph method, Elucidating, target proteins, drug target families, biological macromolecules, pathological states, drug targets undetectably, algorithm
Current Medicinal Chemistry
Title: Using Feature Selection Technique for Drug-Target Interaction Networks Prediction
Volume: 18 Issue: 36
Author(s): W. Yu, Z. Jiang, J. Wang and R. Tao
Affiliation:
Keywords: Drug-target interaction, feature selection method, improved bipartite learning graph method, Elucidating, target proteins, drug target families, biological macromolecules, pathological states, drug targets undetectably, algorithm
Abstract: Elucidating the interaction relationship between target proteins and all drugs is critical for the discovery of new drug targets. However, it is a big challenge to integrate and optimize different feature information into one single “knowledge view” for drug-target interaction prediction. In this article, a feature selection method was proposed to rank the original feature sets. Then, an improved bipartite learning graph method was used to predict four types of drug-target datasets based on the optimized feature subsets. The crossvalidation results demonstrate that the proposed method can provide superior performance than previous method on four classes of drug target families.
Export Options
About this article
Cite this article as:
Yu W., Jiang Z., Wang J. and Tao R., Using Feature Selection Technique for Drug-Target Interaction Networks Prediction, Current Medicinal Chemistry 2011; 18 (36) . https://dx.doi.org/10.2174/092986711798347270
DOI https://dx.doi.org/10.2174/092986711798347270 |
Print ISSN 0929-8673 |
Publisher Name Bentham Science Publisher |
Online ISSN 1875-533X |
Call for Papers in Thematic Issues
Advances in Medicinal Chemistry: From Cancer to Chronic Diseases.
The broad spectrum of the issue will provide a comprehensive overview of emerging trends, novel therapeutic interventions, and translational insights that impact modern medicine. The primary focus will be diseases of global concern, including cancer, chronic pain, metabolic disorders, and autoimmune conditions, providing a broad overview of the advancements in ...read more
Approaches to the treatment of chronic inflammation
Chronic inflammation is a hallmark of numerous diseases, significantly impacting global health. Although chronic inflammation is a hot topic, not much has been written about approaches to its treatment. This thematic issue aims to showcase the latest advancements in chronic inflammation treatment and foster discussion on future directions in this ...read more
Cellular and Molecular Mechanisms of Non-Infectious Inflammatory Diseases: Focus on Clinical Implications
The Special Issue covers the results of the studies on cellular and molecular mechanisms of non-infectious inflammatory diseases, in particular, autoimmune rheumatic diseases, atherosclerotic cardiovascular disease and other age-related disorders such as type II diabetes, cancer, neurodegenerative disorders, etc. Review and research articles as well as methodology papers that summarize ...read more
Chalcogen-modified nucleic acid analogues
Chalcogen-modified nucleosides, nucleotides and oligonucleotides have been of great interest to scientific research for many years. The replacement of oxygen in the nucleobase, sugar or phosphate backbone by chalcogen atoms (sulfur, selenium, tellurium) gives these biomolecules unique properties resulting from their altered physical and chemical properties. The continuing interest in ...read more
- 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
-
G Protein-Coupled Receptors and their Signaling Pathways: Classical Therapeutical Targets Susceptible to Novel Therapeutic Concepts
Current Pharmaceutical Design Electrochemical DNA Detection Using Carbon Nanotubes
Current Physical Chemistry Recent Advances on Liquid Chromatographic and Mass Spectrometric Analysis of Selective Estrogen Receptor Modulators (SERMs) in Biological Fluids
Current Chromatography WITHDRAWN: Current Trends in the Detection of Biological Proteins and Immunological Assays using Graphene Quantum Dots
Current Analytical Chemistry Nucleoprotein-Derived and Unbound Ribonucleosides: Bioactivity and Potential Applications
Current Pharmaceutical Design Nanotools for the Delivery of Antimicrobial Peptides
Current Drug Targets A High Throughput Fluorescence Polarization Assay for Inhibitors of the GoLoco Motif/G-alpha Interaction
Combinatorial Chemistry & High Throughput Screening Sub Cellular Organelles-targeting Photo Dynamic Therapy (PDT)
Mini-Reviews in Organic Chemistry A Highly Sensitive Chemiluminescence Method and Application in Rapid Pharmacokinetic Study of Matrine in Rat Plasma
Current Pharmaceutical Analysis Training Children to Reduce Motion and Increase Success of MRI Scanning
Current Medical Imaging Developments of Polo-like Kinase 1 (Plk1) Inhibitors as Anti-Cancer Agents
Mini-Reviews in Medicinal Chemistry Cyclopamine, a Naturally Occurring Alkaloid, and Its Analogues May Find Wide Applications in Cancer Therapy
Current Topics in Medicinal Chemistry Mass Spectrometry Imaging in Nanomedicine: Unraveling the Potential of MSI for the Detection of Nanoparticles in Neuroscience
Current Pharmaceutical Design Novel Agents in Anticancer Drug Therapy I (Antiangiogenic Agents, Egfr Inhibitors)
Medicinal Chemistry Reviews - Online (Discontinued) Nanotechnology approaches for pain therapy through transdermal drug delivery
Current Pharmaceutical Design Multifunctional Materials for Cancer Therapy: From Antitumoral Agents to Innovative Administration
Current Organic Chemistry Heterologous Expression and Characterization of Flavinadenine Dinucleotide Synthetase from <i>Candida famata</i> for Flavin Adenine Dinucleotide Production
Protein & Peptide Letters Anticancer Peptides and Proteins: A Panoramic View
Protein & Peptide Letters Targeting Natural Products for the Treatment of COVID-19 – An Updated Review
Current Pharmaceutical Design Will Medicinal Cannabinoids Prove to be Useful Clinically?
Current Drug Therapy