Literature DB >> 19543978

Refined homology model of monoacylglycerol lipase: toward a selective inhibitor.

Anna L Bowman1, Alexandros Makriyannis.   

Abstract

Monoacylglycerol lipase (MGL) is primarily responsible for the hydrolysis of 2-arachidonoylglycerol (2-AG), an endocannabinoid with full agonist activity at both cannabinoid receptors. Increased tissue 2-AG levels consequent to MGL inhibition are considered therapeutic against pain, inflammation, and neurodegenerative disorders. However, the lack of MGL structural information has hindered the development of MGL-selective inhibitors. Here, we detail a fully refined homology model of MGL which preferentially identifies MGL inhibitors over druglike noninhibitors. We include for the first time insight into the active-site geometry and potential hydrogen-bonding interactions along with molecular dynamics simulations describing the opening and closing of the MGL helical-domain lid. Docked poses of both the natural substrate and known inhibitors are detailed. A comparison of the MGL active-site to that of the other principal endocannabinoid metabolizing enzyme, fatty acid amide hydrolase, demonstrates key differences which provide crucial insight toward the design of selective MGL inhibitors as potential drugs.

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Year:  2009        PMID: 19543978      PMCID: PMC3308346          DOI: 10.1007/s10822-009-9289-9

Source DB:  PubMed          Journal:  J Comput Aided Mol Des        ISSN: 0920-654X            Impact factor:   3.686


  45 in total

1.  Consensus scoring: A method for obtaining improved hit rates from docking databases of three-dimensional structures into proteins.

Authors:  P S Charifson; J J Corkery; M A Murcko; W P Walters
Journal:  J Med Chem       Date:  1999-12-16       Impact factor: 7.446

2.  Glide: a new approach for rapid, accurate docking and scoring. 2. Enrichment factors in database screening.

Authors:  Thomas A Halgren; Robert B Murphy; Richard A Friesner; Hege S Beard; Leah L Frye; W Thomas Pollard; Jay L Banks
Journal:  J Med Chem       Date:  2004-03-25       Impact factor: 7.446

3.  Glide: a new approach for rapid, accurate docking and scoring. 1. Method and assessment of docking accuracy.

Authors:  Richard A Friesner; Jay L Banks; Robert B Murphy; Thomas A Halgren; Jasna J Klicic; Daniel T Mainz; Matthew P Repasky; Eric H Knoll; Mee Shelley; Jason K Perry; David E Shaw; Perry Francis; Peter S Shenkin
Journal:  J Med Chem       Date:  2004-03-25       Impact factor: 7.446

4.  Supersensitivity to anandamide and enhanced endogenous cannabinoid signaling in mice lacking fatty acid amide hydrolase.

Authors:  B F Cravatt; K Demarest; M P Patricelli; M H Bracey; D K Giang; B R Martin; A H Lichtman
Journal:  Proc Natl Acad Sci U S A       Date:  2001-07-24       Impact factor: 11.205

Review 5.  Biochemistry and pharmacology of the endocannabinoids arachidonylethanolamide and 2-arachidonylglycerol.

Authors:  C J Hillard
Journal:  Prostaglandins Other Lipid Mediat       Date:  2000-04       Impact factor: 3.072

6.  Structural adaptations in a membrane enzyme that terminates endocannabinoid signaling.

Authors:  Michael H Bracey; Michael A Hanson; Kim R Masuda; Raymond C Stevens; Benjamin F Cravatt
Journal:  Science       Date:  2002-11-29       Impact factor: 47.728

7.  CAY10499, a novel monoglyceride lipase inhibitor evidenced by an expeditious MGL assay.

Authors:  Giulio G Muccioli; Geoffray Labar; Didier M Lambert
Journal:  Chembiochem       Date:  2008-11-03       Impact factor: 3.164

8.  Functional disassociation of the central and peripheral fatty acid amide signaling systems.

Authors:  Benjamin F Cravatt; Alan Saghatelian; Edward G Hawkins; Angela B Clement; Michael H Bracey; Aron H Lichtman
Journal:  Proc Natl Acad Sci U S A       Date:  2004-07-09       Impact factor: 11.205

9.  Brain monoglyceride lipase participating in endocannabinoid inactivation.

Authors:  T P Dinh; D Carpenter; F M Leslie; T F Freund; I Katona; S L Sensi; S Kathuria; D Piomelli
Journal:  Proc Natl Acad Sci U S A       Date:  2002-07-22       Impact factor: 11.205

10.  Monoglyceride lipase-like enzymatic activity is responsible for hydrolysis of 2-arachidonoylglycerol in rat cerebellar membranes.

Authors:  Susanna M Saario; Juha R Savinainen; Jarmo T Laitinen; Tomi Järvinen; Riku Niemi
Journal:  Biochem Pharmacol       Date:  2004-04-01       Impact factor: 5.858

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  5 in total

1.  Equipotent inhibition of fatty acid amide hydrolase and monoacylglycerol lipase - dual targets of the endocannabinoid system to protect against seizure pathology.

Authors:  Vinogran Naidoo; David A Karanian; Subramanian K Vadivel; Johnathan R Locklear; JodiAnne T Wood; Mahmoud Nasr; Pamela Marie P Quizon; Emily E Graves; Vidyanand Shukla; Alexandros Makriyannis; Ben A Bahr
Journal:  Neurotherapeutics       Date:  2012-10       Impact factor: 7.620

2.  Active-site inhibitors modulate the dynamic properties of human monoacylglycerol lipase: a hydrogen exchange mass spectrometry study.

Authors:  Ioannis Karageorgos; Thomas E Wales; David R Janero; Nikolai Zvonok; V Kiran Vemuri; John R Engen; Alexandros Makriyannis
Journal:  Biochemistry       Date:  2013-07-08       Impact factor: 3.162

3.  Identification by nuclear magnetic resonance spectroscopy of an active-site hydrogen-bond network in human monoacylglycerol lipase (hMGL): implications for hMGL dynamics, pharmacological inhibition, and catalytic mechanism.

Authors:  Ioannis Karageorgos; Sergiy Tyukhtenko; Nikolai Zvonok; David R Janero; Christine Sallum; Alexandros Makriyannis
Journal:  Mol Biosyst       Date:  2010-05-12

Review 4.  Monoglyceride lipase: Structure and inhibitors.

Authors:  Laura Scalvini; Daniele Piomelli; Marco Mor
Journal:  Chem Phys Lipids       Date:  2015-07-26       Impact factor: 3.329

5.  Membrane phospholipid bilayer as a determinant of monoacylglycerol lipase kinetic profile and conformational repertoire.

Authors:  Mahmoud L Nasr; Xiaomeng Shi; Anna L Bowman; Michael Johnson; Nikolai Zvonok; David R Janero; V Kiran Vemuri; Thomas E Wales; John R Engen; Alexandros Makriyannis
Journal:  Protein Sci       Date:  2013-04-29       Impact factor: 6.725

  5 in total

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