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Pharmacophore Generation and 3D-QSAR Model Development Using PHASE

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Part of the book series: Methods in Molecular Biology ((MIMB,volume 1824))

Abstract

Nowadays, the prediction of biological activity of novel compounds is one of the major challenges in drug design. Toward this aim a useful procedure is the development and application of predictive computational models using three-dimensional quantitative structure-activity relationship (3D-QSAR) methods, which can decrease the cost and time of biological experiments. In this chapter, the use of application PHASE is analyzed, which is a recent but already widespread method for pharmacophore- or atom-based 3D-QSAR model building. The main steps of procedure provided by PHASE are described, and a general workflow and important practical notes are referred. An attempt in order to design new chemotypes with enhanced cytotoxicity against K562 cells is also provided as an example for the 3D pharmacophore model generation on 33 novel (E)-α-benzylthiochalcones.

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References

  1. Cramer RD III, Bunce JD, Patterson DE, Frank IE (1988) Cross validation, bootstrapping, and partial least squares compared with multiple regression in conventional QSAR studies. Quant Struct Act Relat 7(1):18–25. https://doi.org/10.1002/qsar.19880070105

    Article  Google Scholar 

  2. Klebe G, Abraham U, Mietzner T (1994) Molecular similarity indexes in a comparative-analysis (Comsia) of drug molecules to correlate and predict their biological activity. J Chem 37(24):4130–4146. https://doi.org/10.1021/jm00050a010

    Article  CAS  Google Scholar 

  3. SYBYL/QSAR and COMFA, version 8.0 (2007) Tripos Inc., St Louis, MO

    Google Scholar 

  4. Dixon SL, Smondyrev AM, Knoll EH et al (2006) PHASE: a new engine for pharmacophore perception, 3D QSAR model development, and 3D database screening: 1. Methodology and preliminary results. J Comput Aided Mol Des 20(10–11):647–671. https://doi.org/10.1007/s10822-006-9087-6

    Article  CAS  Google Scholar 

  5. Dixon SL, Smondyrev AM, Rao SN (2006) PHASE: a novel approach to pharmacophore modeling and 3D database searching. Chem Biol Drug Des 67(5):370–372. https://doi.org/10.1111/j.1747-0285.2006.00384.x

    Article  CAS  Google Scholar 

  6. PHASE, version 4.3 (2015) Schrödinger, LLC, New York, NY

    Google Scholar 

  7. Vrontaki E, Melagraki G, Voskou S et al (2017) Development of a predictive pharmacophore model and a 3D-QSAR study for an in silico screening of new potent Bcr-Abl kinase inhibitors. Mini Rev Med Chem 17(3):188–204. https://doi.org/10.2174/1389557516999160629101709

    Article  CAS  PubMed  Google Scholar 

  8. Reddy MV, Pallela VR, Cosenza SC et al (2010) Design, synthesis and evaluation of (E)-alphabenzylthiochalcones as novel inhibitors of BCR-ABL kinase. Bioorg Med Chem 18(6):2317–2326. https://doi.org/10.1016/j.bmc.2010.01.051

    Article  CAS  PubMed  Google Scholar 

  9. ChemBioDraw Ultra 14.0, ChemBioOffice (2014) PerkinElmer

    Google Scholar 

  10. Maestro 10.2 (2015) Graphical User Interface, Schrödinger, LLC, New York, NY

    Google Scholar 

  11. LigPrep, version 3.4 (2015) Schrödinger, LLC, New York, NY

    Google Scholar 

  12. Kolossvary I, Guida WC (1996) Low mode search. An efficient, automated computational method for conformational analysis: application to cyclic and acyclic alkanes and cyclic peptides. J Am Chem Soc 118(21):5011–5019. https://doi.org/10.1021/ja952478m

    Article  CAS  Google Scholar 

  13. MacroModel, version 10.8 (2015) Schrödinger, LLC, New York, NY

    Google Scholar 

  14. Kaminski GA, Friesner RA, Tirado-Rives J, Jorgensen WL (2001) Evaluation and reparameterization of the OPLS-AA force field for proteins via comparison with accurate quantum chemical calculations on peptides. J Phys Chem B 105(28):6474–6487. https://doi.org/10.1021/jp003919d

    Article  CAS  Google Scholar 

  15. Vrontaki E, Melagraki G, Afantitis A et al (2017) Searching for novel Janus kinase-2 inhibitors using a combination of pharmacophore modeling, 3D-QSAR studies and virtual screening. Mini Rev Med Chem 17(3):268–294. https://doi.org/10.2174/1389557516666160919163930

    Article  CAS  PubMed  Google Scholar 

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Acknowledgments

The corresponding author Eleni Vrontaki (E.V.) acknowledges funding by State Scholarships Foundation (IKY postdoctoral fellowship, MIS 5001552, NSRF 2014–2020).

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Correspondence to Eleni Vrontaki .

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Vrontaki, E., Kolocouris, A. (2018). Pharmacophore Generation and 3D-QSAR Model Development Using PHASE. In: Mavromoustakos, T., Kellici, T. (eds) Rational Drug Design. Methods in Molecular Biology, vol 1824. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-8630-9_23

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  • DOI: https://doi.org/10.1007/978-1-4939-8630-9_23

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  • Publisher Name: Humana Press, New York, NY

  • Print ISBN: 978-1-4939-8629-3

  • Online ISBN: 978-1-4939-8630-9

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