Literature DB >> 22313494

Unassisted transport of N-acetyl-L-tryptophanamide through membrane: experiment and simulation of kinetics.

Alfredo E Cardenas1, Gouri S Jas, Kristine Y DeLeon, Wendy A Hegefeld, Krzysztof Kuczera, Ron Elber.   

Abstract

Cellular transport machinery, such as channels and pumps, is working against the background of unassisted material transport through membranes. The permeation of a blocked tryptophan through a 1,2-dioleoyl-sn-glycero-3-phosphocholine (DOPC) membrane is investigated to probe unassisted or physical transport. The transport rate is measured experimentally and modeled computationally. The time scale measured by parallel artificial membrane permeation assay (PAMPA) experiments is ~8 h. Simulations with the milestoning algorithm suggest mean first passage time (MFPT) of ~4 h and the presence of a large barrier at the center of the bilayer. A similar calculation with the solubility-diffusion model yields a MFPT of ~15 min. This permeation rate is 9 orders of magnitude slower than the permeation rate of only a tryptophan side chain (computed by us and others). This difference suggests critical dependence of transport time on permeant size and hydrophilicity. Analysis of the simulation results suggests that the permeant partially preserves hydrogen bonding of the peptide backbone to water and lipid molecules even when it is moving closer to the bilayer center. As a consequence, defects of the membrane structure are developed to assist permeation.

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Year:  2012        PMID: 22313494      PMCID: PMC3302722          DOI: 10.1021/jp2102447

Source DB:  PubMed          Journal:  J Phys Chem B        ISSN: 1520-5207            Impact factor:   2.991


  49 in total

1.  PAMPA--a drug absorption in vitro model 11. Matching the in vivo unstirred water layer thickness by individual-well stirring in microtitre plates.

Authors:  Alex Avdeef; Per E Nielsen; Oksana Tsinman
Journal:  Eur J Pharm Sci       Date:  2004-08       Impact factor: 4.384

2.  Computing time scales from reaction coordinates by milestoning.

Authors:  Anton K Faradjian; Ron Elber
Journal:  J Chem Phys       Date:  2004-06-15       Impact factor: 3.488

3.  Behaviour of small solutes and large drugs in a lipid bilayer from computer simulations.

Authors:  D Bemporad; C Luttmann; J W Essex
Journal:  Biochim Biophys Acta       Date:  2005-08-09

4.  Position-resolved free energy of solvation for amino acids in lipid membranes from molecular dynamics simulations.

Authors:  Anna C V Johansson; Erik Lindahl
Journal:  Proteins       Date:  2008-03

5.  Coarse master equations for peptide folding dynamics.

Authors:  Nicolae-Viorel Buchete; Gerhard Hummer
Journal:  J Phys Chem B       Date:  2008-01-31       Impact factor: 2.991

6.  Mechanism and dynamics of ion transfer across a liquid-liquid interface.

Authors:  L Benjamin
Journal:  Science       Date:  1993-09-17       Impact factor: 47.728

7.  Permeation of membranes by the neutral form of amino acids and peptides: relevance to the origin of peptide translocation.

Authors:  A C Chakrabarti; D W Deamer
Journal:  J Mol Evol       Date:  1994-07       Impact factor: 2.395

8.  Permeability of lipid bilayers to amino acids and phosphate.

Authors:  A C Chakrabarti; D W Deamer
Journal:  Biochim Biophys Acta       Date:  1992-11-09

9.  QSAR study on permeability of hydrophobic compounds with artificial membranes.

Authors:  Masaaki Fujikawa; Kazuya Nakao; Ryo Shimizu; Miki Akamatsu
Journal:  Bioorg Med Chem       Date:  2007-03-16       Impact factor: 3.641

10.  Permeation across hydrated DPPC lipid bilayers: simulation of the titrable amphiphilic drug valproic acid.

Authors:  Johan Ulander; A D J Haymet
Journal:  Biophys J       Date:  2003-12       Impact factor: 4.033

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  23 in total

1.  Perspective: Computer simulations of long time dynamics.

Authors:  Ron Elber
Journal:  J Chem Phys       Date:  2016-02-14       Impact factor: 3.488

2.  Catch bond-like kinetics of helix cracking: network analysis by molecular dynamics and milestoning.

Authors:  Steven M Kreuzer; Tess J Moon; Ron Elber
Journal:  J Chem Phys       Date:  2013-09-28       Impact factor: 3.488

3.  Analyzing milestoning networks for molecular kinetics: definitions, algorithms, and examples.

Authors:  Shruthi Viswanath; Steven M Kreuzer; Alfredo E Cardenas; Ron Elber
Journal:  J Chem Phys       Date:  2013-11-07       Impact factor: 3.488

4.  Membrane permeation of a peptide: it is better to be positive.

Authors:  Alfredo E Cardenas; Rebika Shrestha; Lauren J Webb; Ron Elber
Journal:  J Phys Chem B       Date:  2015-05-13       Impact factor: 2.991

5.  Multiscale Methods in Drug Design Bridge Chemical and Biological Complexity in the Search for Cures.

Authors:  Rommie E Amaro; Adrian J Mulholland
Journal:  Nat Rev Chem       Date:  2018-04-11       Impact factor: 34.035

6.  Markovian and Non-Markovian Modeling of Membrane Dynamics with Milestoning.

Authors:  Alfredo E Cardenas; Ron Elber
Journal:  J Phys Chem B       Date:  2016-04-05       Impact factor: 2.991

7.  A MATHEMATICAL FRAMEWORK FOR EXACT MILESTONING.

Authors:  David Aristoff; Juan M Bello-Rivas; Ron Elber
Journal:  Multiscale Model Simul       Date:  2016-03-03       Impact factor: 1.930

8.  Periodontal-induced chronic inflammation triggers macrophage secretion of Ccl12 to inhibit fibroblast-mediated cardiac wound healing.

Authors:  Kristine Y DeLeon-Pennell; Rugmani Padmanabhan Iyer; Osasere K Ero; Courtney A Cates; Elizabeth R Flynn; Presley L Cannon; Mira Jung; De'Aries Shannon; Michael R Garrett; William Buchanan; Michael E Hall; Yonggang Ma; Merry L Lindsey
Journal:  JCI Insight       Date:  2017-09-21

9.  Implicit membrane treatment of buried charged groups: application to peptide translocation across lipid bilayers.

Authors:  Themis Lazaridis; John M Leveritt; Leo PeBenito
Journal:  Biochim Biophys Acta       Date:  2014-02-10

10.  Modeling kinetics and equilibrium of membranes with fields: milestoning analysis and implication to permeation.

Authors:  Alfredo E Cardenas; Ron Elber
Journal:  J Chem Phys       Date:  2014-08-07       Impact factor: 3.488

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