Abstract
Objective: Support Vector Regression (SVR) has become increasingly popular in cheminformatics modeling. As a result, SVR-based machine learning algorithms, including Fuzzy-SVR and Least Square-SVR (LS-SVR) have been developed and applied in various research areas. However, at present, few downloadable packages or public-domain software are available for these algorithms. To address this need, we developed the Support vector regression-based Online Learning Equipment (SOLE) web tool (available at http://reccr.chem.rpi.edu/SOLE/index.html) as an online learning system to support predictive cheminformatics and materials informatics studies.
Results: In this work, we employed the SOLE system to model transgene expression efficacy of polymers obtained from aminoglycoside antibiotics, which allowed the results of several modeling approaches to be easily compared. All models had test set r2 of 0.96-0.98 and test set R2 of 0.79-0.84. Y-scrambling test showed the models were stable and not over-fitted. Conclusion: SOLE has a user-friendly interface and includes routine elements of performing QSAR/QSPR studies that can be applied in various research areas. It utilizes rational and sophisticated feature selection, model selection and model evaluation processes.Keywords: Software, QSAR, QSPR, machine learning, regression, support vector machine.
Combinatorial Chemistry & High Throughput Screening
Title:Development of a Web-Enabled SVR-Based Machine Learning Platform and its Application on Modeling Transgene Expression Activity of Aminoglycoside-Derived Polycations
Volume: 20 Issue: 1
Author(s): Zhuo Zhen, Thrimoorthy Potta, Nicholas A. Lanzillo, Kaushal Rege and Curt M. Breneman
Affiliation:
Keywords: Software, QSAR, QSPR, machine learning, regression, support vector machine.
Abstract: Objective: Support Vector Regression (SVR) has become increasingly popular in cheminformatics modeling. As a result, SVR-based machine learning algorithms, including Fuzzy-SVR and Least Square-SVR (LS-SVR) have been developed and applied in various research areas. However, at present, few downloadable packages or public-domain software are available for these algorithms. To address this need, we developed the Support vector regression-based Online Learning Equipment (SOLE) web tool (available at http://reccr.chem.rpi.edu/SOLE/index.html) as an online learning system to support predictive cheminformatics and materials informatics studies.
Results: In this work, we employed the SOLE system to model transgene expression efficacy of polymers obtained from aminoglycoside antibiotics, which allowed the results of several modeling approaches to be easily compared. All models had test set r2 of 0.96-0.98 and test set R2 of 0.79-0.84. Y-scrambling test showed the models were stable and not over-fitted. Conclusion: SOLE has a user-friendly interface and includes routine elements of performing QSAR/QSPR studies that can be applied in various research areas. It utilizes rational and sophisticated feature selection, model selection and model evaluation processes.Export Options
About this article
Cite this article as:
Zhen Zhuo, Potta Thrimoorthy, Lanzillo A. Nicholas, Rege Kaushal and Breneman M. Curt, Development of a Web-Enabled SVR-Based Machine Learning Platform and its Application on Modeling Transgene Expression Activity of Aminoglycoside-Derived Polycations, Combinatorial Chemistry & High Throughput Screening 2017; 20 (1) . https://dx.doi.org/10.2174/1386207319666161228124214
DOI https://dx.doi.org/10.2174/1386207319666161228124214 |
Print ISSN 1386-2073 |
Publisher Name Bentham Science Publisher |
Online ISSN 1875-5402 |
- 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
Related Articles
-
Natural Products as Modulators of Spermatogenesis: The Search for a Male Contraceptive
Current Molecular Pharmacology Meeting Report: The Fourth Annual PepTalk Meeting: The Human Proteome
Current Proteomics Thyroid Hormone Modulation of Immunity: Its Participation in Chronic Stress-Induced Immune Alterations
Current Immunology Reviews (Discontinued) Steroid Hormone Binding Receptors: Application of Homology Modeling, Induced Fit Docking, and Molecular Dynamics to Study Structure- Function Relationships
Current Topics in Medicinal Chemistry Modulation of Expression and Activity of ABC Transporters by the Phytoestrogen Genistein. Impact on Drug Disposition
Current Medicinal Chemistry Design, Synthesis, and Evaluation of (2-(Pyridinyl)methylene)-1-tetralone Chalcones for Anticancer and Antimicrobial Activity
Medicinal Chemistry Molecular Pharmacology and Pharmacogenomics of Artemisinin and its Derivatives in Cancer Cells
Current Drug Targets Anti-inflammatory Property of AMP-activated Protein Kinase
Anti-Inflammatory & Anti-Allergy Agents in Medicinal Chemistry Circulating MicroRNAs as Biomarkers for Inflammatory Diseases
MicroRNA Development of Prolactin Receptor Antagonists: Same Goal, Different Ways
Recent Patents on Endocrine, Metabolic & Immune Drug Discovery (Discontinued) Cancer Therapeutics-Related Cardiovascular Complications. Mechanisms, Diagnosis and Treatment
Current Pharmaceutical Design Cancer-related Fatigue, Inflammation and Thyrotropin-releasing Hormone
Current Aging Science Quantitative Proteomics for Cancer Biomarker Discovery
Combinatorial Chemistry & High Throughput Screening Association Studies on mtDNA and Parkinson`s Disease Population Discrimination Using the Statistical Classification
Current Bioinformatics Integrin-Targeted Peptide- and Peptidomimetic-Drug Conjugates for the Treatment of Tumors
Recent Patents on Anti-Cancer Drug Discovery Metallic Nanopopcorns: A New Multimodal Approach for Theranostics
Current Nanoscience Is it Necessary to Calculate Young’s Modulus in AFM Nanoindentation Experiments Regarding Biological Samples?
Micro and Nanosystems The Recent Development of Farnesyltransferase Inhibitors as Anticancer and Antimalarial Agents
Mini-Reviews in Medicinal Chemistry Radioactive Nanoparticles and their Main Applications: Recent Advances
Recent Patents on Nanotechnology Ornithine Decarboxylase Inhibition: A Strategy to Combat Various Diseases
Mini-Reviews in Medicinal Chemistry