Analyze Diet
Molecules (Basel, Switzerland)2017; 22(8); 1248; doi: 10.3390/molecules22081248

Rapid Mechanistic Evaluation and Parameter Estimation of Putative Inhibitors in a Single-Step Progress-Curve Analysis: The Case of Horse Butyrylcholinesterase.

Abstract: Highly efficient and rapid lead compound evaluation for estimation of inhibition parameters and type of inhibition is proposed. This is based on a single progress-curve measurement in the presence of each candidate compound, followed by the simultaneous analysis of all of these curves using the ENZO enzyme kinetics suite, which can be implemented as a web application. In the first step, all of the candidate ligands are tested as competitive inhibitors. Where the theoretical curves do not correspond to the experimental data, minimal additional measurements are added, with subsequent processing according to modified reaction mechanisms.
Publication Date: 2017-07-26 PubMed ID: 28933751PubMed Central: PMC6152194DOI: 10.3390/molecules22081248Google Scholar: Lookup
The Equine Research Bank provides access to a large database of publicly available scientific literature. Inclusion in the Research Bank does not imply endorsement of study methods or findings by Mad Barn.
  • Evaluation Study
  • Journal Article

Summary

This research summary has been generated with artificial intelligence and may contain errors and omissions. Refer to the original study to confirm details provided. Submit correction.

This research article presents a fast and efficient approach for evaluating potential drug compounds and estimating their inhibition parameters based on a single progress-curve measurement. This method involves the use of an enzyme kinetics suite, ENZO, which can be easily implemented as a web application.

Method Overview

The study introduces a quick and efficient process for evaluating lead compounds. This approach is designed to estimate the inhibition parameters and the kind of inhibition. The method involves:

  • A single progress-curve measurement in the presence of each candidate compound.
  • Simultaneous analysis of all these curves using ENZO, an enzyme kinetics suite that can be used as a web application.

Process of Evaluation

In the first step of the evaluation, all the candidate ligands are tested as potential competitive inhibitors. The process includes:

  • Comparison of theoretical curves with the experimental data.
  • If theoretical and experimental data do not match, minimal additional measurements will be made.
  • Further processing according to modified reaction mechanisms if necessary.

This approach allows researchers to evaluate the efficacy and viability of potential inhibitors quickly and efficiently. The use of the ENZO enzyme kinetics suite also simplifies the process, allowing for easy implementation and use.

Study Significance

This research enhances the field of drug discovery and development. By presenting an accelerated method for lead compound evaluation and parameter estimation, it allows:

  • Faster identification and characterization of potential inhibitors, thus speeding up drug discovery processes.
  • Efficient use of resources, as less time and fewer materials are needed for testing.
  • Immediate implementation due to the user-friendly ENZO enzyme kinetics suite that can be accessed and utilized as a web application.

This study contributes significantly by introducing a method that expedites the drug development process, leading to potentially fast-track solutions for many health concerns.

Cite This Article

APA
Stojan J. (2017). Rapid Mechanistic Evaluation and Parameter Estimation of Putative Inhibitors in a Single-Step Progress-Curve Analysis: The Case of Horse Butyrylcholinesterase. Molecules, 22(8), 1248. https://doi.org/10.3390/molecules22081248

Publication

ISSN: 1420-3049
NlmUniqueID: 100964009
Country: Switzerland
Language: English
Volume: 22
Issue: 8
PII: 1248

Researcher Affiliations

Stojan, Jure
  • Institute of Biochemistry, Faculty of Medicine, University of Ljubljana, Vrazovtrg 2, 1000 Ljubljana, Slovenia. stojan@mf.uni-lj.si.

MeSH Terms

  • Animals
  • Butyrylcholinesterase / chemistry
  • Butyrylthiocholine / chemistry
  • Cholinesterase Inhibitors / chemistry
  • Horses
  • Kinetics
  • Ligands
  • Models, Biological
  • Sodium Fluoride / chemistry

Conflict of Interest Statement

There are no conflicts of interest what so ever.

References

This article includes 27 references
  1. Rosenberry TL. Acetylcholinesterase.. Adv Enzymol Relat Areas Mol Biol 1975;43:103-218.
    pubmed: 891doi: 10.1002/9780470122884.ch3google scholar: lookup
  2. Moralev SN, Rozengart EV. Comparative Enzymology of Cholinesterases. International University Line; La Jolla, CA, USA: 2006.
  3. Krupka RM. Chemical structure and function of the active center of acetylcholinesterase.. Biochemistry 1966 Jun;5(6):1988-97.
    doi: 10.1021/bi00870a029pubmed: 5963443google scholar: lookup
  4. Scarpini E, Scheltens P, Feldman H. Treatment of Alzheimer's disease: current status and new perspectives.. Lancet Neurol 2003 Sep;2(9):539-47.
    doi: 10.1016/S1474-4422(03)00502-7pubmed: 12941576google scholar: lookup
  5. Giacobini E. Cholinesterase inhibitors: new roles and therapeutic alternatives.. Pharmacol Res 2004 Oct;50(4):433-40.
    doi: 10.1016/j.phrs.2003.11.017pubmed: 15304240google scholar: lookup
  6. Zha X, Lamba D, Zhang L, Lou Y, Xu C, Kang D, Chen L, Xu Y, Zhang L, De Simone A, Samez S, Pesaresi A, Stojan J, Lopez MG, Egea J, Andrisano V, Bartolini M. Novel Tacrine-Benzofuran Hybrids as Potent Multitarget-Directed Ligands for the Treatment of Alzheimer's Disease: Design, Synthesis, Biological Evaluation, and X-ray Crystallography.. J Med Chem 2016 Jan 14;59(1):114-31.
    doi: 10.1021/acs.jmedchem.5b01119pubmed: 26632651google scholar: lookup
  7. Košak U, Brus B, Knez D, Šink R, Žakelj S, Trontelj J, Pišlar A, Šlenc J, Gobec M, Živin M, Tratnjek L, Perše M, Sałat K, Podkowa A, Filipek B, Nachon F, Brazzolotto X, Więckowska A, Malawska B, Stojan J, Raščan IM, Kos J, Coquelle N, Colletier JP, Gobec S. Development of an in-vivo active reversible butyrylcholinesterase inhibitor.. Sci Rep 2016 Dec 21;6:39495.
    doi: 10.1038/srep39495pmc: PMC5175178pubmed: 28000737google scholar: lookup
  8. Lipinski CA, Lombardo F, Dominy BW, Feeney PJ. Experimental and computational approaches to estimate solubility and permeability in drug discovery and development settings.. Adv Drug Deliv Rev 2001 Mar 1;46(1-3):3-26.
    doi: 10.1016/S0169-409X(00)00129-0pubmed: 11259830google scholar: lookup
  9. Brus B, Košak U, Turk S, Pišlar A, Coquelle N, Kos J, Stojan J, Colletier JP, Gobec S. Discovery, biological evaluation, and crystal structure of a novel nanomolar selective butyrylcholinesterase inhibitor.. J Med Chem 2014 Oct 9;57(19):8167-79.
    doi: 10.1021/jm501195epubmed: 25226236google scholar: lookup
  10. Sussman JL, Harel M, Frolow F, Oefner C, Goldman A, Toker L, Silman I. Atomic structure of acetylcholinesterase from Torpedo californica: a prototypic acetylcholine-binding protein.. Science 1991 Aug 23;253(5022):872-9.
    doi: 10.1126/science.1678899pubmed: 1678899google scholar: lookup
  11. Harel M, Schalk I, Ehret-Sabatier L, Bouet F, Goeldner M, Hirth C, Axelsen PH, Silman I, Sussman JL. Quaternary ligand binding to aromatic residues in the active-site gorge of acetylcholinesterase.. Proc Natl Acad Sci U S A 1993 Oct 1;90(19):9031-5.
    doi: 10.1073/pnas.90.19.9031pmc: PMC47495pubmed: 8415649google scholar: lookup
  12. Nicolet Y, Lockridge O, Masson P, Fontecilla-Camps JC, Nachon F. Crystal structure of human butyrylcholinesterase and of its complexes with substrate and products.. J Biol Chem 2003 Oct 17;278(42):41141-7.
    doi: 10.1074/jbc.M210241200pubmed: 12869558google scholar: lookup
  13. Stojan J, Golicnik M, Froment MT, Estour F, Masson P. Concentration-dependent reversible activation-inhibition of human butyrylcholinesterase by tetraethylammonium ion.. Eur J Biochem 2002 Feb;269(4):1154-61.
  14. Stojan J, Pavlic MR. On the inhibition of cholinesterase by D-tubocurarine.. Biochim Biophys Acta 1991 Aug 9;1079(1):96-102.
    doi: 10.1016/0167-4838(91)90029-Ypubmed: 1888768google scholar: lookup
  15. Dou D, Park JG, Rana S, Madden BJ, Jiang H, Pang YP. Novel selective and irreversible mosquito acetylcholinesterase inhibitors for controlling malaria and other mosquito-borne diseases.. Sci Rep 2013;3:1068.
    doi: 10.1038/srep01068pmc: PMC3545233pubmed: 23323211google scholar: lookup
  16. Moss DE, Perez RG, Kobayashi H. Cholinesterase Inhibitor Therapy in Alzheimer's Disease: The Limits and Tolerability of Irreversible CNS-Selective Acetylcholinesterase Inhibition in Primates.. J Alzheimers Dis 2017;55(3):1285-1294.
    doi: 10.3233/JAD-160733pmc: PMC5148699pubmed: 27858711google scholar: lookup
  17. Page JD, Wilson IB, Silman I. Butyrylcholinesterase: inhibition by arsenite, fluoride, and other ligands, cooperativity in binding.. Mol Pharmacol 1985 Apr;27(4):437-43.
    pubmed: 3982389
  18. Froede HC, Wilson IB. The slow rate of inhibition of acetylcholinesterase by fluoride.. Mol Pharmacol 1985 Jun;27(6):630-3.
    pubmed: 4000107
  19. Nachon F, Carletti E, Wandhammer M, Nicolet Y, Schopfer LM, Masson P, Lockridge O. X-ray crystallographic snapshots of reaction intermediates in the G117H mutant of human butyrylcholinesterase, a nerve agent target engineered into a catalytic bioscavenger.. Biochem J 2011 Feb 15;434(1):73-82.
    doi: 10.1042/BJ20101648pubmed: 21091433google scholar: lookup
  20. Markus M, Plesser T. Design and analysis of progress curves in enzyme kinetics.. Biochem Soc Trans 1976;4(2):361-4.
    doi: 10.1042/bst0040361pubmed: 1001690google scholar: lookup
  21. Stojan J, Brochier L, Alies C, Colletier JP, Fournier D. Inhibition of Drosophila melanogaster acetylcholinesterase by high concentrations of substrate.. Eur J Biochem 2004 Apr;271(7):1364-71.
  22. Szegletes T, Mallender WD, Thomas PJ, Rosenberry TL. Substrate binding to the peripheral site of acetylcholinesterase initiates enzymatic catalysis. Substrate inhibition arises as a secondary effect.. Biochemistry 1999 Jan 5;38(1):122-33.
    doi: 10.1021/bi9813577pubmed: 9890890google scholar: lookup
  23. Bevc S, Konc J, Stojan J, Hodošček M, Penca M, Praprotnik M, Janežič D. ENZO: a web tool for derivation and evaluation of kinetic models of enzyme catalyzed reactions.. PLoS One 2011;6(7):e22265.
  24. Goličnik M. The integrated Michaelis-Menten rate equation: déjà vu or vu jàdé?. J Enzyme Inhib Med Chem 2013 Aug;28(4):879-93.
    doi: 10.3109/14756366.2012.688039pubmed: 22630075google scholar: lookup
  25. ELLMAN GL, COURTNEY KD, ANDRES V Jr, FEATHER-STONE RM. A new and rapid colorimetric determination of acetylcholinesterase activity.. Biochem Pharmacol 1961 Jul;7:88-95.
    doi: 10.1016/0006-2952(61)90145-9pubmed: 13726518google scholar: lookup
  26. Kuzmic P. Application of the Van Slyke-Cullen irreversible mechanism in the analysis of enzymatic progress curves.. Anal Biochem 2009 Nov 15;394(2):287-9.
    doi: 10.1016/j.ab.2009.06.040pubmed: 19627979google scholar: lookup
  27. Stojan J. The significance of low substrate concentration measurements for mechanistic interpretation in cholinesterases.. Chem Biol Interact 2013 Mar 25;203(1):44-50.
    doi: 10.1016/j.cbi.2012.12.005pubmed: 23279886google scholar: lookup

Citations

This article has been cited 4 times.
  1. Lamba D, Pesaresi A. Kinetic Modeling of Time-Dependent Enzyme Inhibition by Pre-Steady-State Analysis of Progress Curves: The Case Study of the Anti-Alzheimer's Drug Galantamine. Int J Mol Sci 2022 May 3;23(9).
    doi: 10.3390/ijms23095072pubmed: 35563466google scholar: lookup
  2. Petrič B, Goličnik M, Bavec A. The Removal of Time-Concentration Data Points from Progress Curves Improves the Determination of K(m): The Example of Paraoxonase 1. Molecules 2022 Feb 15;27(4).
    doi: 10.3390/molecules27041306pubmed: 35209091google scholar: lookup
  3. Pajk S, Knez D, Košak U, Zorović M, Brazzolotto X, Coquelle N, Nachon F, Colletier JP, Živin M, Stojan J, Gobec S. Development of potent reversible selective inhibitors of butyrylcholinesterase as fluorescent probes. J Enzyme Inhib Med Chem 2020 Dec;35(1):498-505.
    doi: 10.1080/14756366.2019.1710502pubmed: 31914836google scholar: lookup
  4. Li W, Liu Q, Li S, Zheng Y. New Sesquiterpenoids from the Fermented Broth of Termitomyces albuminosus and their Anti-Acetylcholinesterase Activity. Molecules 2019 Aug 16;24(16).
    doi: 10.3390/molecules24162980pubmed: 31426402google scholar: lookup