Literature DB >> 26605738

MMPBSA.py: An Efficient Program for End-State Free Energy Calculations.

Bill R Miller1, T Dwight McGee1, Jason M Swails1, Nadine Homeyer2, Holger Gohlke2, Adrian E Roitberg1.   

Abstract

MM-PBSA is a post-processing end-state method to calculate free energies of molecules in solution. MMPBSA.py is a program written in Python for streamlining end-state free energy calculations using ensembles derived from molecular dynamics (MD) or Monte Carlo (MC) simulations. Several implicit solvation models are available with MMPBSA.py, including the Poisson-Boltzmann Model, the Generalized Born Model, and the Reference Interaction Site Model. Vibrational frequencies may be calculated using normal mode or quasi-harmonic analysis to approximate the solute entropy. Specific interactions can also be dissected using free energy decomposition or alanine scanning. A parallel implementation significantly speeds up the calculation by dividing frames evenly across available processors. MMPBSA.py is an efficient, user-friendly program with the flexibility to accommodate the needs of users performing end-state free energy calculations. The source code can be downloaded at http://ambermd.org/ with AmberTools, released under the GNU General Public License.

Entities:  

Year:  2012        PMID: 26605738     DOI: 10.1021/ct300418h

Source DB:  PubMed          Journal:  J Chem Theory Comput        ISSN: 1549-9618            Impact factor:   6.006


  696 in total

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3.  A molecular dynamics investigation of CDK8/CycC and ligand binding: conformational flexibility and implication in drug discovery.

Authors:  Timothy Cholko; Wei Chen; Zhiye Tang; Chia-En A Chang
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4.  Applications of MMPBSA to Membrane Proteins I: Efficient Numerical Solutions of Periodic Poisson-Boltzmann Equation.

Authors:  Wesley M Botello-Smith; Ray Luo
Journal:  J Chem Inf Model       Date:  2015-10-05       Impact factor: 4.956

5.  Gas-Phase Analysis of the Complex of Fibroblast GrowthFactor 1 with Heparan Sulfate: A Traveling Wave Ion Mobility Spectrometry (TWIMS) and Molecular Modeling Study.

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7.  A Continuum Poisson-Boltzmann Model for Membrane Channel Proteins.

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8.  Exploration of the binding affinities between ecdysone agonists and EcR/USP by docking and MM-PB/GBSA approaches.

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9.  A Synthetic Oxygen Sensor for Plants Based on Animal Hypoxia Signaling.

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10.  Molecular Basis of S100A1 Activation at Saturating and Subsaturating Calcium Concentrations.

Authors:  Caitlin E Scott; Peter M Kekenes-Huskey
Journal:  Biophys J       Date:  2016-03-08       Impact factor: 4.033

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