Abstract
Control of fluorescent dye localization in live cells is crucial for fluorescence imaging. Here, we describe quantitative structure activity relation (QSAR) models for predicting intracellular localization of fluorescent dyes. For generating the QSAR models, electric charge (Z) calculated by pKa, conjugated bond number (CBN), the largest conjugated fragment (LCF), molecular weight (MW) and log P were used as parameters. We identified the intracellular localization of 119 BODIPY dyes in live NIH3T3 cells, and assessed the accuracy of our models by comparing their predictions with the observed dye localizations. As predicted by the models, no BODIPY dyes localized in nuclei or plasma membranes. The accuracy of the model for localization in fat droplets was 92%, with the models for cytosol and lysosomes showing poorer agreement with observed dye localization, albeit well above chance levels. Overall therefore the utility of QSAR models for predicting dye localization in live cells was clearly demonstrated.
Keywords: Intracellular dye localization, prediction model, QSAR, BODIPY, NIH3T3 cell line, fat droplet model.
Combinatorial Chemistry & High Throughput Screening
Title:Prediction of Intracellular Localization of Fluorescent Dyes Using QSAR Models
Volume: 19 Issue: 5
Author(s): Shohei Uchinomiya, Richard W. Horobin, Enrique Alvarado-Martínez, Eduardo Peña-Cabrera and Young-Tae Chang
Affiliation:
Keywords: Intracellular dye localization, prediction model, QSAR, BODIPY, NIH3T3 cell line, fat droplet model.
Abstract: Control of fluorescent dye localization in live cells is crucial for fluorescence imaging. Here, we describe quantitative structure activity relation (QSAR) models for predicting intracellular localization of fluorescent dyes. For generating the QSAR models, electric charge (Z) calculated by pKa, conjugated bond number (CBN), the largest conjugated fragment (LCF), molecular weight (MW) and log P were used as parameters. We identified the intracellular localization of 119 BODIPY dyes in live NIH3T3 cells, and assessed the accuracy of our models by comparing their predictions with the observed dye localizations. As predicted by the models, no BODIPY dyes localized in nuclei or plasma membranes. The accuracy of the model for localization in fat droplets was 92%, with the models for cytosol and lysosomes showing poorer agreement with observed dye localization, albeit well above chance levels. Overall therefore the utility of QSAR models for predicting dye localization in live cells was clearly demonstrated.
Export Options
About this article
Cite this article as:
Uchinomiya Shohei, W. Horobin Richard, Alvarado-Martínez Enrique, Peña-Cabrera Eduardo and Chang Young-Tae, Prediction of Intracellular Localization of Fluorescent Dyes Using QSAR Models, Combinatorial Chemistry & High Throughput Screening 2016; 19 (5) . https://dx.doi.org/10.2174/1386207319666160408150528
DOI https://dx.doi.org/10.2174/1386207319666160408150528 |
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
-
Quantitative Analysis of Duloxetine and 1-Naphthol by Capillary Micellar Electrokinetic Chromatography
Current Analytical Chemistry Free Fatty Acids: Circulating Contributors of Metabolic Syndrome
Cardiovascular & Hematological Agents in Medicinal Chemistry Novel Hexahydropyridoindole Derivative as Prospective Agent Against Oxidative Damage in Pancreatic βCells
Medicinal Chemistry Anticancer Drug Discovery Targeting DNA Hypermethylation
Current Medicinal Chemistry Therapeutic Potential of Autotaxin/Lysophospholipase D Inhibitors
Current Drug Targets Contribution of Catecholamine Reactive Intermediates and Oxidative Stress to the Pathologic Features of Heart Diseases
Current Medicinal Chemistry Probiotics as Anti-Helicobacter pylori Agent: State of the Art
Anti-Infective Agents Molecular Targeting of Aberrant Transcription Factors in Leukemia: Strategies for RUNX1/ETO
Current Drug Targets Oxidative stress and Parkinson’s disease: New hopes in treatment with herbal antioxidants
Current Pharmaceutical Design High Throughput Screening Technology and the Small Molecules Modulating Aging Related Signals
Combinatorial Chemistry & High Throughput Screening Synergistic Inhibition of R5 HIV-1 by the Fusion Protein (FLSC) IgG1 Fc and Maraviroc in Primary Cells: Implications for Prevention and Treatment
Current HIV Research Carbon Nano Tubes: Novel Drug Delivery System in Amelioration of Alzheimer’s Disease
Combinatorial Chemistry & High Throughput Screening Synthesis and Cytotoxic Activity of 4-Aryl-4H-chromeno[4,3-d] [1,2,3] selenadiazoles
Letters in Drug Design & Discovery The Emerging Pharmacology of TRPM8 Channels: Hidden Therapeutic Potential Underneath a Cold Surface
Current Pharmaceutical Biotechnology The Role of SNAP-tag in Technical Approaches
Current Pharmaceutical Design Phycobilins and Phycobiliproteins Used in Food Industry and Medicine
Mini-Reviews in Medicinal Chemistry Bioaccessibility of Functional Ingredients
Current Nutrition & Food Science Graphene Quantum Dots in Electrochemical Sensors/Biosensors
Current Analytical Chemistry The Role of Mitochondria in Cancer Induction, Progression and Changes in Metabolism
Mini-Reviews in Medicinal Chemistry Laccases and Their Applications: A Patent Review
Recent Patents on Biotechnology