Literature DB >> 26924848

MPBEC, a Matlab Program for Biomolecular Electrostatic Calculations.

Sandra Vergara-Perez1, Marcelo Marucho1.   

Abstract

One of the most used and efficient approaches to compute electrostatic properties of biological systems is to numerically solve the Poisson-Boltzmann (PB) equation. There are several software packages available that solve the PB equation for molecules in aqueous electrolyte solutions. Most of these software packages are useful for scientists with specialized training and expertise in computational biophysics. However, the user is usually required to manually take several important choices, depending on the complexity of the biological system, to successfully obtain the numerical solution of the PB equation. This may become an obstacle for researchers, experimentalists, even students with no special training in computational methodologies. Aiming to overcome this limitation, in this article we present MPBEC, a free, cross-platform, open-source software that provides non-experts in the field an easy and efficient way to perform biomolecular electrostatic calculations on single processor computers. MPBEC is a Matlab script based on the Adaptative Poisson Boltzmann Solver, one of the most popular approaches used to solve the PB equation. MPBEC does not require any user programming, text editing or extensive statistical skills, and comes with detailed user-guide documentation. As a unique feature, MPBEC includes a useful graphical user interface (GUI) application which helps and guides users to configure and setup the optimal parameters and approximations to successfully perform the required biomolecular electrostatic calculations. The GUI also incorporates visualization tools to facilitate users pre- and post- analysis of structural and electrical properties of biomolecules.

Entities:  

Keywords:  Graphical user interface; Matlab software; Poisson-Boltzmann equation; biomolecular electrostatic calculations; mean electrostatic potential

Year:  2015        PMID: 26924848      PMCID: PMC4767531          DOI: 10.1016/j.cpc.2015.08.029

Source DB:  PubMed          Journal:  Comput Phys Commun        ISSN: 0010-4655            Impact factor:   4.390


  5 in total

1.  Very fast empirical prediction and rationalization of protein pKa values.

Authors:  Hui Li; Andrew D Robertson; Jan H Jensen
Journal:  Proteins       Date:  2005-12-01

2.  Computational methods for biomolecular electrostatics.

Authors:  Feng Dong; Brett Olsen; Nathan A Baker
Journal:  Methods Cell Biol       Date:  2008       Impact factor: 1.441

3.  Web servers and services for electrostatics calculations with APBS and PDB2PQR.

Authors:  Samir Unni; Yong Huang; Robert M Hanson; Malcolm Tobias; Sriram Krishnan; Wilfred W Li; Jens E Nielsen; Nathan A Baker
Journal:  J Comput Chem       Date:  2011-02-01       Impact factor: 3.376

Review 4.  Biomolecular electrostatics and solvation: a computational perspective.

Authors:  Pengyu Ren; Jaehun Chun; Dennis G Thomas; Michael J Schnieders; Marcelo Marucho; Jiajing Zhang; Nathan A Baker
Journal:  Q Rev Biophys       Date:  2012-11       Impact factor: 5.318

5.  Solvent-accessible surfaces of proteins and nucleic acids.

Authors:  M L Connolly
Journal:  Science       Date:  1983-08-19       Impact factor: 47.728

  5 in total
  2 in total

1.  Hydrodynamic and Polyelectrolyte Properties of Actin Filaments: Theory and Experiments.

Authors:  Ernesto Alva; Annitta George; Lorenzo Brancaleon; Marcelo Marucho
Journal:  Polymers (Basel)       Date:  2022-06-16       Impact factor: 4.967

2.  Java application for cytoskeleton filament characterization (JACFC).

Authors:  Marcelo Marucho
Journal:  Softw Impacts       Date:  2021-04-17
  2 in total

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