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
-
Azole Antimycotics - A Highway to New Drugs or a Dead End?
Current Medicinal Chemistry Antidiabetic Effect of Polyphenolic Extracts from Selected Edible Plants as α-Amylase, α -Glucosidase and PTP1B Inhibitors, and β Pancreatic Cells Cytoprotective Agents - A Comparative Study
Current Topics in Medicinal Chemistry Near Infrared Spectroscopy (NIRS) as a Tool to Analyze Phenolic Compounds in Plants
Current Analytical Chemistry Application of CdO/SWCNTs Nanocomposite Ionic Liquids Carbon Paste Electrode as a Voltammetric Sensor for Determination of Benserazide
Current Analytical Chemistry Ginsenoside Rb1 Directly Scavenges Hydroxyl Radical and Hypochlorous Acid
Current Pharmaceutical Design Gene Electrotransfer: A Mechanistic Perspective
Current Gene Therapy Update of QSAR & Docking Studies of the GSK-3 Inhibitors
Current Bioinformatics Molecularly Imprinted Polymers: Novel Discovery for Drug Delivery
Current Drug Delivery Induced Fit Docking and Automated QSAR Studies Reveal the ER-α Inhibitory Activity of <i>Cannabis sativa</i> in Breast Cancer
Recent Patents on Anti-Cancer Drug Discovery Physicochemical Characterization of Nano- and Microparticles
Current Nanoscience Data Visualization and Feature Selection Methods in Gel-based Proteomics
Current Protein & Peptide Science Analgesic Considerations for Liver Transplantation Patients
Current Clinical Pharmacology Synthesis and Biological Evaluation of a Series of 6,7-dimethoxy-1-(3,4- dimethoxybenzyl)-2-substituted Tetrahydroisoquinoline Derivatives
Medicinal Chemistry Camptothecins and Key Lessons in Drug Design
Drug Design Reviews - Online (Discontinued) Systemic Sclerosis: Clinical Manifestations
Current Rheumatology Reviews Hypoxic Radiosensitizers and Hypoxic Cytotoxins in Radiation Oncology
Current Medicinal Chemistry - Anti-Cancer Agents Multi-Target Drugs for Neglected Diseases
Current Pharmaceutical Design An Overview on Chemistry and Biological Importance of Pyrrolidinone
Current Organic Synthesis Emerging Drugs - Potential for Misuse in Sport and Doping Control Detection Strategies
Mini-Reviews in Medicinal Chemistry Nanotubes at Neural and Immune Synapses
Current Medicinal Chemistry