Literature DB >> 18644343

A graphical user interface for BIOEQS: a program for simulating and analyzing complex biomolecular interactions.

Tilman Rosales1, Catherine A Royer.   

Abstract

BIOEQS is a global analysis and simulation program for complex biomolecular interaction data developed during the 1990s. Its continued usefulness derives from the fact that it is based on a numerical solver for complex coupled biological equilibria rather than on closed-form analytical equations for the binding isotherms. Therefore, it is quite versatile, allowing easy testing of multiple binding models and analysis of systems too complex for closed-form solutions. However, a major drawback to a generalized use of this program has been the lack of a graphical user interface (GUI) for setting up the binding models and experimental conditions as well as for visualizing the results. We present here a new GUI for BIOEQS that should be useful in both research and teaching applications.

Mesh:

Year:  2008        PMID: 18644343      PMCID: PMC2596913          DOI: 10.1016/j.ab.2008.05.056

Source DB:  PubMed          Journal:  Anal Biochem        ISSN: 0003-2697            Impact factor:   3.365


  2 in total

1.  Analysis of binding in macromolecular complexes: a generalized numerical approach.

Authors:  C A Royer; W R Smith; J M Beechem
Journal:  Anal Biochem       Date:  1990-12       Impact factor: 3.365

2.  Numerical analysis of binding data: advantages, practical aspects, and implications.

Authors:  C A Royer; J M Beechem
Journal:  Methods Enzymol       Date:  1992       Impact factor: 1.600

  2 in total
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Journal:  J Biol Chem       Date:  2013-07-12       Impact factor: 5.157

2.  Evidence That Bacteriophage λ Kil Peptide Inhibits Bacterial Cell Division by Disrupting FtsZ Protofilaments and Sequestering Protein Subunits.

Authors:  Víctor M Hernández-Rocamora; Carlos Alfonso; William Margolin; Silvia Zorrilla; Germán Rivas
Journal:  J Biol Chem       Date:  2015-06-29       Impact factor: 5.157

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Authors:  Suzana Kovac; Su-Wen Loh; Shamilah Lachal; Arthur Shulkes; Graham S Baldwin
Journal:  Biochem Pharmacol       Date:  2011-12-08       Impact factor: 5.858

4.  Thermodynamic studies of a series of homologous HIV-1 TAR RNA ligands reveal that loose binders are stronger Tat competitors than tight ones.

Authors:  Lise Pascale; Stéphane Azoulay; Audrey Di Giorgio; Laura Zenacker; Marc Gaysinski; Pascal Clayette; Nadia Patino
Journal:  Nucleic Acids Res       Date:  2013-04-19       Impact factor: 16.971

  4 in total

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