Literature DB >> 17827237

Toward full-sequence de novo protein design with flexible templates for human beta-defensin-2.

Ho Ki Fung1, Christodoulos A Floudas, Martin S Taylor, Li Zhang, Dimitrios Morikis.   

Abstract

In this article, we introduce and apply our de novo protein design framework, which observes true backbone flexibility, to the redesign of human beta-defensin-2, a 41-residue cationic antimicrobial peptide of the innate immune system. The flexible design templates are generated using molecular dynamics simulations with both Generalized Born implicit solvation and explicit water molecules. These backbone templates were employed in addition to the x-ray crystal structure for designing human beta-defensin-2. The computational efficiency of our framework was demonstrated with the full-sequence design of the peptide with flexible backbone templates, corresponding to the mutation of all positions except the native cysteines.

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Year:  2007        PMID: 17827237      PMCID: PMC2157230          DOI: 10.1529/biophysj.107.110627

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


  64 in total

Review 1.  Mechanism of the binding, insertion and destabilization of phospholipid bilayer membranes by alpha-helical antimicrobial and cell non-selective membrane-lytic peptides.

Authors:  Y Shai
Journal:  Biochim Biophys Acta       Date:  1999-12-15

Review 2.  Why and how are peptide-lipid interactions utilized for self-defense? Magainins and tachyplesins as archetypes.

Authors:  K Matsuzaki
Journal:  Biochim Biophys Acta       Date:  1999-12-15

3.  Side-chain and backbone flexibility in protein core design.

Authors:  J R Desjarlais; T M Handel
Journal:  J Mol Biol       Date:  1999-07-02       Impact factor: 5.469

4.  Statistical theory of combinatorial libraries of folding proteins: energetic discrimination of a target structure.

Authors:  J Zou; J G Saven
Journal:  J Mol Biol       Date:  2000-02-11       Impact factor: 5.469

5.  On the design and analysis of protein folding potentials.

Authors:  D Tobi; G Shafran; N Linial; R Elber
Journal:  Proteins       Date:  2000-07-01

6.  De novo protein design. I. In search of stability and specificity.

Authors:  P Koehl; M Levitt
Journal:  J Mol Biol       Date:  1999-11-12       Impact factor: 5.469

7.  Distance-dependent, pair potential for protein folding: results from linear optimization.

Authors:  D Tobi; R Elber
Journal:  Proteins       Date:  2000-10-01

8.  Prediction of amino acid sequence from structure.

Authors:  K Raha; A M Wollacott; M J Italia; J R Desjarlais
Journal:  Protein Sci       Date:  2000-06       Impact factor: 6.725

9.  The structure of human beta-defensin-2 shows evidence of higher order oligomerization.

Authors:  D M Hoover; K R Rajashankar; R Blumenthal; A Puri; J J Oppenheim; O Chertov; J Lubkowski
Journal:  J Biol Chem       Date:  2000-10-20       Impact factor: 5.157

Review 10.  Human beta-defensin-2.

Authors:  J M Schröder; J Harder
Journal:  Int J Biochem Cell Biol       Date:  1999-06       Impact factor: 5.085

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  21 in total

1.  New compstatin variants through two de novo protein design frameworks.

Authors:  M L Bellows; H K Fung; M S Taylor; C A Floudas; A López de Victoria; D Morikis
Journal:  Biophys J       Date:  2010-05-19       Impact factor: 4.033

2.  Discovery of entry inhibitors for HIV-1 via a new de novo protein design framework.

Authors:  M L Bellows; M S Taylor; P A Cole; L Shen; R F Siliciano; H K Fung; C A Floudas
Journal:  Biophys J       Date:  2010-11-17       Impact factor: 4.033

Review 3.  Challenges in the computational design of proteins.

Authors:  María Suárez; Alfonso Jaramillo
Journal:  J R Soc Interface       Date:  2009-03-11       Impact factor: 4.118

4.  Protein WISDOM: a workbench for in silico de novo design of biomolecules.

Authors:  James Smadbeck; Meghan B Peterson; George A Khoury; Martin S Taylor; Christodoulos A Floudas
Journal:  J Vis Exp       Date:  2013-07-25       Impact factor: 1.355

Review 5.  Computer-aided design of functional protein interactions.

Authors:  Daniel J Mandell; Tanja Kortemme
Journal:  Nat Chem Biol       Date:  2009-11       Impact factor: 15.040

6.  Systematic optimization model and algorithm for binding sequence selection in computational enzyme design.

Authors:  Xiaoqiang Huang; Kehang Han; Yushan Zhu
Journal:  Protein Sci       Date:  2013-06-06       Impact factor: 6.725

Review 7.  Computational methods for de novo protein design and its applications to the human immunodeficiency virus 1, purine nucleoside phosphorylase, ubiquitin specific protease 7, and histone demethylases.

Authors:  M L Bellows; C A Floudas
Journal:  Curr Drug Targets       Date:  2010-03       Impact factor: 3.465

8.  De novo peptide design with C3a receptor agonist and antagonist activities: theoretical predictions and experimental validation.

Authors:  Meghan L Bellows-Peterson; Ho Ki Fung; Christodoulos A Floudas; Chris A Kieslich; Li Zhang; Dimitrios Morikis; Kathryn J Wareham; Peter N Monk; Owen A Hawksworth; Trent M Woodruff
Journal:  J Med Chem       Date:  2012-04-20       Impact factor: 7.446

9.  Increasing sequence diversity with flexible backbone protein design: the complete redesign of a protein hydrophobic core.

Authors:  Grant S Murphy; Jeffrey L Mills; Michael J Miley; Mischa Machius; Thomas Szyperski; Brian Kuhlman
Journal:  Structure       Date:  2012-05-24       Impact factor: 5.006

10.  A search for energy minimized sequences of proteins.

Authors:  Anupam Nath Jha; G K Ananthasuresh; Saraswathi Vishveshwara
Journal:  PLoS One       Date:  2009-08-19       Impact factor: 3.240

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