Literature DB >> 21575581

Accurate determination of the binding free energy for KcsA-charybdotoxin complex from the potential of mean force calculations with restraints.

Po-Chia Chen1, Serdar Kuyucak.   

Abstract

Free energy calculations for protein-ligand dissociation have been tested and validated for small ligands (50 atoms or less), but there has been a paucity of studies for larger, peptide-size ligands due to computational limitations. Previously we have studied the energetics of dissociation in a potassium channel-charybdotoxin complex by using umbrella sampling molecular-dynamics simulations, and established the need for carefully chosen coordinates and restraints to maintain the physiological ligand conformation. Here we address the ligand integrity problem further by constructing additional potential of mean forces for dissociation of charybdotoxin using restraints. We show that the large discrepancies in binding free energy arising from simulation artifacts can be avoided by using appropriate restraints on the ligand, which enables determination of the binding free energy within the chemical accuracy. We make several suggestions for optimal choices of harmonic potential parameters and restraints to be used in binding studies of large ligands.
Copyright © 2011 Biophysical Society. Published by Elsevier Inc. All rights reserved.

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Year:  2011        PMID: 21575581      PMCID: PMC3093566          DOI: 10.1016/j.bpj.2011.03.052

Source DB:  PubMed          Journal:  Biophys J        ISSN: 0006-3495            Impact factor:   4.033


  27 in total

1.  Chemistry of ion coordination and hydration revealed by a K+ channel-Fab complex at 2.0 A resolution.

Authors:  Y Zhou; J H Morais-Cabral; A Kaufman; R MacKinnon
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2.  Escaping free-energy minima.

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3.  Simulation of the interaction between ScyTx and small conductance calcium-activated potassium channel by docking and MM-PBSA.

Authors:  Yingliang Wu; Zhijian Cao; Hong Yi; Dahe Jiang; Xin Mao; Hui Liu; Wenxin Li
Journal:  Biophys J       Date:  2004-07       Impact factor: 4.033

Review 4.  Contribution of the functional dyad of animal toxins acting on voltage-gated Kv1-type channels.

Authors:  Stephanie Mouhat; Michel De Waard; Jean-Marc Sabatier
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Review 5.  Calculation of protein-ligand binding affinities.

Authors:  Michael K Gilson; Huan-Xiang Zhou
Journal:  Annu Rev Biophys Biomol Struct       Date:  2007

6.  Molecular basis of inhibitory peptide maurotoxin recognizing Kv1.2 channel explored by ZDOCK and molecular dynamic simulations.

Authors:  Hong Yi; Su Qiu; Zhijian Cao; Yingliang Wu; Wenxin Li
Journal:  Proteins       Date:  2008-02-15

Review 7.  Potassium channel blockade by the sea anemone toxin ShK for the treatment of multiple sclerosis and other autoimmune diseases.

Authors:  Raymond S Norton; Michael W Pennington; Heike Wulff
Journal:  Curr Med Chem       Date:  2004-12       Impact factor: 4.530

Review 8.  Computations of standard binding free energies with molecular dynamics simulations.

Authors:  Yuqing Deng; Benoît Roux
Journal:  J Phys Chem B       Date:  2009-02-26       Impact factor: 2.991

9.  Mechanism and energetics of charybdotoxin unbinding from a potassium channel from molecular dynamics simulations.

Authors:  Po-Chia Chen; Serdar Kuyucak
Journal:  Biophys J       Date:  2009-04-08       Impact factor: 4.033

10.  Calculation of free-energy differences by confinement simulations. Application to peptide conformers.

Authors:  M Cecchini; S V Krivov; M Spichty; M Karplus
Journal:  J Phys Chem B       Date:  2009-07-23       Impact factor: 2.991

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  23 in total

1.  Permeation and block of the Kv1.2 channel examined using brownian and molecular dynamics.

Authors:  Dan Gordon; Shin-Ho Chung
Journal:  Biophys J       Date:  2011-12-07       Impact factor: 4.033

2.  Modeling the binding of three toxins to the voltage-gated potassium channel (Kv1.3).

Authors:  Rong Chen; Anna Robinson; Dan Gordon; Shin-Ho Chung
Journal:  Biophys J       Date:  2011-12-07       Impact factor: 4.033

Review 3.  Modeling and simulation of ion channels.

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Journal:  Chem Rev       Date:  2012-10-04       Impact factor: 60.622

Review 4.  Computational methods of studying the binding of toxins from venomous animals to biological ion channels: theory and applications.

Authors:  Dan Gordon; Rong Chen; Shin-Ho Chung
Journal:  Physiol Rev       Date:  2013-04       Impact factor: 37.312

Review 5.  Computational approaches for designing potent and selective analogs of peptide toxins as novel therapeutics.

Authors:  Serdar Kuyucak; Raymond S Norton
Journal:  Future Med Chem       Date:  2014-10       Impact factor: 3.808

6.  Structural, mechanistic, and physiological insights into phospholipase A-mediated membrane phospholipid degradation in Pseudomonas aeruginosa.

Authors:  Florian Bleffert; Joachim Granzin; Muttalip Caliskan; Stephan N Schott-Verdugo; Meike Siebers; Björn Thiele; Laurence Rahme; Sebastian Felgner; Peter Dörmann; Holger Gohlke; Renu Batra-Safferling; Karl-Erich Jaeger; Filip Kovacic
Journal:  Elife       Date:  2022-05-10       Impact factor: 8.713

7.  A C-terminally amidated analogue of ShK is a potent and selective blocker of the voltage-gated potassium channel Kv1.3.

Authors:  Michael W Pennington; M Harunur Rashid; Rajeev B Tajhya; Christine Beeton; Serdar Kuyucak; Raymond S Norton
Journal:  FEBS Lett       Date:  2012-10-09       Impact factor: 4.124

8.  On Restraints in End-Point Protein-Ligand Binding Free Energy Calculations.

Authors:  William M Menzer; Bing Xie; David D L Minh
Journal:  J Comput Chem       Date:  2019-12-10       Impact factor: 3.376

9.  Molecular dynamics simulations of scorpion toxin recognition by the Ca(2+)-activated potassium channel KCa3.1.

Authors:  Rong Chen; Shin-Ho Chung
Journal:  Biophys J       Date:  2013-10-15       Impact factor: 4.033

10.  Developing a comparative docking protocol for the prediction of peptide selectivity profiles: investigation of potassium channel toxins.

Authors:  Po-Chia Chen; Serdar Kuyucak
Journal:  Toxins (Basel)       Date:  2012-02-06       Impact factor: 4.546

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