Abstract
Whether small molecule xenobiotics (biocides, drugs, probes, toxins) will target mitochondria in living cells can be predicted using an algorithm derived from QSAR modeling. Application of the algorithm requires the chemical structures of all ionic species of the xenobiotic compound in question to be defined, and for certain numerical structure parameters (AI, CBN, log P, pKa, and Z) to be obtained for all such species. How the chemical structures are specified, how the structure parameters are obtained or estimated, and how the algorithm is used are described in an explicit protocol.
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References
Karami-Mohajeri S, Abdollahi M (2013) Mitochondrial dysfunction and organophosphorus compounds. Toxicol Appl Pharmacol 270:39–44
Kim HM, Cho BR (2013) Mitochondrial-targeted two-photon fluorescent probes for zinc ions, H2O2, and thiols in living tissue. Oxid Med Cell Longev 2013:323619
Weissig V, Boddapati SV, D’Souza GGM, Cheng SM (2004) Targeting of low-molecular weight drugs to mammalian mitochondria. Drug Des Rev 1:15–28
Stova KR, King ST, Cleary JD (2014) Cardiac toxicity of the echinocandins: chance or cause and effect association? J Clin Pharm Ther 39:1–3
Chamberlain GR, Tulumello DV, Kelley SO (2013) Targeted delivery of doxorubicin to mitochondria. ASC Chem Biol 8:1389–1395
Figueira TR, Melo DR, Vercesi AE, Castilho RF (2012) Safranine as a fluorescent probe for the evaluation of mitochondrial membrane potential in isolated organelles and permeabilized cells. Methods Mol Biol 810:103–117
Leung CW, Hong Y, Hanske J, Zhao E, Chen S, Pletneva EV, Tang BZ (2013) Superior fluorescent probe for detection of cardiolipin. Anal Chem 86:1263–1268
Rashid F, Horobin RW (1991) Accumulation of fluorescent non-cationic probes in mitochondria of cultured cells: a proposed mechanism, and some implications. J Microsc 163:233–241
Trapp S, Horobin RW (2005) A predictive model for the selective accumulation of chemicals in tumor cells. Eur Biophys J 34:959–966
Horobin RW, Rashid-Doubell F, Pediani JD, Milligan G (2013) Predicting small molecule fluorescent probe localization in living cells using QSAR modeling. 1. Overview and models for probes of structure, properties and function in living cells. Biotech Histochem 88:440–460
Horobin RW, Trapp S, Weissig V (2007) Mitochondriotropics: a review of their mode of action, and their applications for drug and DNA delivery to mammalian mitochondria. J Control Release 121:125–136
O’Neil MJ (ed) (2013) Merck Index: an encyclopedia of chemicals, drugs and biologicals, 15th edn. Royal Society of Chemistry, London
Merck Index Online. Royal Society of Chemistry. www.rsc.org/merck-index. Accessed 1 Jan 2014
ChemIDplus. US National Library of Medicine, Bethesda, MA. chem.sis.nim.nih.gov/chemidplus. Accessed 1 Jan 2014
ChemSpider. The Royal Society of Chemistry. www.chemspider.com. Accessed 1 Jan 2014
Colour Index, 3rd edn (1971). Society of Dyers and Colourists, Bradford, and American Association of Textile Chemists and Colorists, Research Triangle Park, NC
Lillie RD (1977) H.J. Conn’s biological stains. A handbook on the nature and uses of the dyes employed in the biological laboratory, 9th edn. Williams & Wilkins, Baltimore, MD
Horobin RW, Kiernan JA (eds) (2002) Conn’s biological stains. A handbook of dyes, stains and fluorochromes for use in biology and medicine, 10th edn. BIOS, Oxford
Colour Index International, 4th edn. Society of Dyers and Colourists and American Association of Textile and Color Chemists. Online. www.colour-index.com. Accessed 1 Jan 2014
Molecular imaging and contrast agent database. www.ncbi.nlm.nih.gov/pubmed . Accessed 1 Jan 2014
Senseman SA (2007) Herbicide handbook, 9th edn. Weed Science Society of America, Champaign, IL
Weed Science Society of America. Weed Science Society of America, Lawrence KS. wssa.net/weed/herbicides. Accessed 1 Jan 2014
Hernandez MA, Rathinavelu A (2006) Basic pharmacology: understanding drug action and reactions. CRC, Boca Raton, FL
DrugBank. The University of Alberta, Canada. www.drugbank.ca. Accessed 1 Jan 2014
PubChem. National Center for Biotechnology Information, US National Library of Medicine, Bethesda, MA, USA. pubchem.ncbi.nim.nih.gov. Accessed 1 Jan 2014
Rosen MJ, Kunjappu JT (2012) Surfactants and interfacial phenomena, 4th edn. Wiley, Hoboken, NJ
Rossoff IS (2001) Encyclopedia of clinical toxicology. CRC, Boca Raton, FL
ToxNet. US National Library of Medicine, Bethesda, MA. toxnet.nim.nih.gov. Accessed 1 Jan 2014
Biocatalysis/Biodegradation Database. The University of Minnesota. umbbd.ethz.ch. Accessed 1 Jan 2014
Metabolism and Transport Drug Interaction Database. The University of Washington. www.druginteractioninfo.org. Accessed 1 Jan 2014
Smith RM, Martell AE (1974) Critical stability constants, vol 1–6. Plenum, New York
Smith RM, Martell AE, Motekaitis RJ (2012) NIST critically selected stability constants, version 8.0, NIST standard reference database 46. US Department of Commerce, Gaithersburg, MD
Perrin DD, Dempsey B, Sarjeant EP (1981) pKa predictions for organic acids and bases. Chapman & Hall, London
ACD/Labs. Advanced Chemical Development, Inc. www.acdlabs.com. Accessed 1 Jan 2014
ChemSilico. Daylight Chemical Information Systems, Inc. www.chemsilico.com. Accessed 1 Jan 2014
ALOGPS. Virtual Computational Chemistry Laboratory, Institute of Structural Biology, HelmholstZentrum, Munich. www.vcclab.org/lab/alogps. Accessed 1 Jan 2014
Leo A, Hansch C, Elkins D (1971) Partition coefficients and their uses. Chem Rev 71:525–616
Hansch C, Leo A (1979) Substituent constants for correlation analysis in chemistry and biology. Wiley-Interscience, New York, Chapter IV
MedChem Database. www.daylight.com/medchem.html. Accessed 1 Jan 2014
Horobin RW (2010) Can QSAR models describing small-molecule xenobiotics give useful tips for predicting uptake and localization of nanoparticles in living cells? And if not, why not? In: Weissig V, D’Souza GGM (eds) Organelle-specific pharmaceutical nanotechnology. Wiley, Hoboken, NJ, pp 193–206
Horobin RW, Rashid-Doubell F (2013) Predicting small molecule fluorescent probe localization in living cells using QSAR modeling. 2. Specifying probe, protocol an cell factors; selecting QSAR models; predicting entry and localization. Biotech Histochem 88:461–476
Stockert JC, Abasolo MI (2011) Inaccurate chemical structures of dyes and fluorochromes found in the literature can be problematic for teaching and research. Biotech Histochem 86:52–60
Avdeef A (2003) Adsorption and drug development. Solubility, permeability and charge state. Wiley-Interscience, Hoboken, NJ, Chapter 6
Mannhold R, Poda GI, Ostermann C, Tetko IV (2009) Calculation of molecular lipophilicity: state-of-the-art and comparison of log P methods on more than 96,000 compounds. J Pharm Sci 98:861–893
Franco A, Trapp S (2008) Estimation of the soil-water partition coefficient normalized to organic carbon for ionizable organic chemicals. Environ Toxicol Chem 27:1995–2004
Acknowledgements
R.W.H. thanks Dr. R. Aitken, School of Life Sciences, College of Medical, Veterinary and Life Sciences, University of Glasgow, for providing facilities.
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Horobin, R.W. (2015). Predicting Mitochondrial Targeting by Small Molecule Xenobiotics Within Living Cells Using QSAR Models. In: Weissig, V., Edeas, M. (eds) Mitochondrial Medicine. Methods in Molecular Biology, vol 1265. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-2288-8_2
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DOI: https://doi.org/10.1007/978-1-4939-2288-8_2
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