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 |
Call for Papers in Thematic Issues
Advances in the design of antibody & protein with conformational dynamics and artificial intelligence approaches
“Antibodies & Protein Design” section focuses on the utilization of multiple strategies to engineer and optimize antibodies and proteins that serve diverse analytical strategies, such as combinatorial protein design, structure-based design, sequence-based design, and other techniques that incorporate principles of protein-protein interactions, allosteric regulation, and post-translational modifications. Example applications include ...read more
Artificial Intelligence Methods for Biomedical, Biochemical and Bioinformatics Problems
Recently, a large number of technologies based on artificial intelligence have been developed and applied to solve a diverse range of problems in the areas of biomedical, biochemical and bioinformatics problems. By utilizing powerful computing resources and massive amounts of data, methods based on artificial intelligence can significantly improve the ...read more
Emerging trends in diseases mechanisms, noble drug targets and therapeutic strategies: focus on immunological and inflammatory disorders
Recently infectious and inflammatory diseases have been a key concern worldwide due to tremendous morbidity and mortality world Wide. Recent, nCOVID-9 pandemic is a good example for the emerging infectious disease outbreak. The world is facing many emerging and re-emerging diseases out breaks at present however, there is huge lack ...read more
Exploring Spectral Graph Theory in Combinatorial Chemistry
Combinatorial chemistry involves the synthesis and analysis of a large number of diverse compounds simultaneously. Traditional methods rely on brute-force experimentation, which can be time-consuming and resource-intensive. Spectral graph theory, a branch of mathematics dealing with the properties of graphs in relation to the eigenvalues and eigenvectors of matrices associated ...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
Related Articles
-
FoxO Transcription Factors and Regenerative Pathways in Diabetes Mellitus
Current Neurovascular Research Chemical Constituents of the Genus Prunus and their Medicinal Properties
Current Medicinal Chemistry A Novel Hydroxysteroid-Sulfating Cytosolic Sulfotransferase, SULT3 ST3, from Zebrafish: Identification, Characterization, and Ontogenic Study
Drug Metabolism Letters Isomannide and Derivatives. Chemical and Pharmaceutical Applications
Mini-Reviews in Organic Chemistry Targeting Protein-Protein and Protein-Nucleic Acid Interactions for Anti-HIV Therapy
Current Pharmaceutical Design A Combined Cheminformatics and Computational Approach for the Prediction of Anti-HIV Small Molecules
Current Computer-Aided Drug Design Eco-friendly Synthesis of Pyrido[2,3-d]pyrimidine Analogs and Their Anticancer and Tyrosine Kinase Inhibition Activities
Anti-Cancer Agents in Medicinal Chemistry Chebulagic Acid Synergizes the Cytotoxicity of Doxorubicin in Human Hepatocellular Carcinoma Through COX-2 Dependant Modulation of MDR-1
Medicinal Chemistry Solid-Phase Synthesis of Oligosaccharide Drugs: A Review
Mini-Reviews in Medicinal Chemistry A Comprehensive Review on Combretastatin Analogues as Tubulin Binding Agents
Current Organic Chemistry Combined <i>Curcuma longa</i> and <i>Cratoxylum formosum</i> Extracts Possess Anti-liver Cancer and Anti-HBV Activities in HepG2.2.15
Current Traditional Medicine ZNF424 Induces Apoptosis and Inhibits Proliferation in Lung Carcinoma Cells
Current Molecular Medicine Synthesis and Antitumor Activity of New Pyrimidine and Caffeine Derivatives
Letters in Drug Design & Discovery Metformin Inhibits NLRP3 Inflammasome Expression and Regulates Inflammatory Microenvironment to Delay the Progression of Colorectal Cancer
Recent Patents on Anti-Cancer Drug Discovery New Antioxidant Source: Matricaria chamomilla
Current Bioactive Compounds α,β-Acetylenic Amino Thiolester Inhibitors of Aldehyde Dehydrogenases 1&3: Suppressors of Apoptogenic Aldehyde Oxidation and Activators of Apoptosis
Current Medicinal Chemistry Current Evidence Regarding Low-carb Diets for The Metabolic Control of Type-2 Diabetes
Current Diabetes Reviews JNK2 Promotes Progression of Esophageal Squamous Cell Carcinoma <i>via</i> Inhibiting Axin2
Current Pharmaceutical Design Bioremediation of Toxic Heavy Metals: A Patent Review
Recent Patents on Biotechnology Infectomics in the Discovery and Development of New Antimicrobial Agents
Current Medicinal Chemistry - Anti-Infective Agents