Literature DB >> 19572216

PROTDES: CHARMM toolbox for computational protein design.

María Suárez1, Pablo Tortosa, Alfonso Jaramillo.   

Abstract

We present an open-source software able to automatically mutate any residue positions and find the best aminoacids in an arbitrary protein structure without requiring pairwise approximations. Our software, PROTDES, is based on CHARMM and it searches automatically for mutations optimizing a protein folding free energy. PROTDES allows the integration of molecular dynamics within the protein design. We have implemented an heuristic optimization algorithm that iteratively searches the best aminoacids and their conformations for an arbitrary set of positions within a structure. Our software allows CHARMM users to perform protein design calculations and to create their own procedures for protein design using their own energy functions. We show this by implementing three different energy functions based on different solvent treatments: surface area accessibility, generalized Born using molecular volume and an effective energy function. PROTDES, a tutorial, parameter sets, configuration tools and examples are freely available at http://soft.synth-bio.org/protdes.html .

Entities:  

Year:  2009        PMID: 19572216      PMCID: PMC2735645          DOI: 10.1007/s11693-009-9026-7

Source DB:  PubMed          Journal:  Syst Synth Biol        ISSN: 1872-5325


  33 in total

1.  Automatic protein design with all atom force-fields by exact and heuristic optimization.

Authors:  L Wernisch; S Hery; S J Wodak
Journal:  J Mol Biol       Date:  2000-08-18       Impact factor: 5.469

2.  Sequence determinants of amyloid fibril formation.

Authors:  Manuela López de la Paz; Luis Serrano
Journal:  Proc Natl Acad Sci U S A       Date:  2003-12-22       Impact factor: 11.205

3.  Computational protein design is a challenge for implicit solvation models.

Authors:  Alfonso Jaramillo; Shoshana J Wodak
Journal:  Biophys J       Date:  2004-09-17       Impact factor: 4.033

4.  Conformational sampling with implicit solvent models: application to the PHF6 peptide in tau protein.

Authors:  Austin Huang; Collin M Stultz
Journal:  Biophys J       Date:  2006-10-13       Impact factor: 4.033

5.  Designing allosteric peptide ligands targeting a globular protein.

Authors:  Karen A Selz; Tatiana I Samoylova; Alexandre M Samoylov; Vitaly J Vodyanoy; Arnold J Mandell
Journal:  Biopolymers       Date:  2007-01       Impact factor: 2.505

Review 6.  Progress in computational protein design.

Authors:  Shaun M Lippow; Bruce Tidor
Journal:  Curr Opin Biotechnol       Date:  2007-07-20       Impact factor: 9.740

7.  Kemp elimination catalysts by computational enzyme design.

Authors:  Daniela Röthlisberger; Olga Khersonsky; Andrew M Wollacott; Lin Jiang; Jason DeChancie; Jamie Betker; Jasmine L Gallaher; Eric A Althoff; Alexandre Zanghellini; Orly Dym; Shira Albeck; Kendall N Houk; Dan S Tawfik; David Baker
Journal:  Nature       Date:  2008-03-19       Impact factor: 49.962

8.  An object-oriented library for computational protein design.

Authors:  Arnab B Chowdry; Kimberly A Reynolds; Melinda S Hanes; Mark Voorhies; Navin Pokala; Tracy M Handel
Journal:  J Comput Chem       Date:  2007-11-15       Impact factor: 3.376

9.  Computational sidechain placement and protein mutagenesis with implicit solvent models.

Authors:  Anne Lopes; Alexey Alexandrov; Christine Bathelt; Georgios Archontis; Thomas Simonson
Journal:  Proteins       Date:  2007-06-01

10.  A residue-pairwise generalized born scheme suitable for protein design calculations.

Authors:  Georgios Archontis; Thomas Simonson
Journal:  J Phys Chem B       Date:  2005-12-01       Impact factor: 2.991

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  1 in total

1.  Entropic Stabilization of Cas4 Protein SSO0001 Predicted with Popcoen.

Authors:  Martin Goethe; Ignacio Fita; J Miguel Rubi
Journal:  Entropy (Basel)       Date:  2018-08-07       Impact factor: 2.524

  1 in total

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