Literature DB >> 15313244

Advances in computational protein design.

Sheldon Park1, Xi Yang, Jeffery G Saven.   

Abstract

Computational protein design continues to experience a variety of methodological advances. Several improvements have been suggested for the objective functions used to quantify sequence/structure compatibility. Disparate design strategies based upon dead-end elimination, simulated annealing and statistical design have each recently yielded striking successes involving de novo designed proteins with sizes on the order of 100 residues or greater. Such methods may be used to design new proteins, as well as to redesign natural proteins to facilitate structural and biophysical studies.

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Year:  2004        PMID: 15313244     DOI: 10.1016/j.sbi.2004.06.002

Source DB:  PubMed          Journal:  Curr Opin Struct Biol        ISSN: 0959-440X            Impact factor:   6.809


  14 in total

1.  The role of secondary structure in protein structure selection.

Authors:  Yong-Yun Ji; You-Quan Li
Journal:  Eur Phys J E Soft Matter       Date:  2010-05-25       Impact factor: 1.890

Review 2.  Computational tools for epitope vaccine design and evaluation.

Authors:  Linling He; Jiang Zhu
Journal:  Curr Opin Virol       Date:  2015-03-31       Impact factor: 7.090

3.  Orientation and oligomerization specificity of the Bcr coiled-coil oligomerization domain.

Authors:  Christina M Taylor; Amy E Keating
Journal:  Biochemistry       Date:  2005-12-13       Impact factor: 3.162

Review 4.  Biology by design: reduction and synthesis of cellular components and behaviour.

Authors:  Philippe Marguet; Frederick Balagadde; Cheemeng Tan; Lingchong You
Journal:  J R Soc Interface       Date:  2007-08-22       Impact factor: 4.118

5.  A Consensus Data Mining secondary structure prediction by combining GOR V and Fragment Database Mining.

Authors:  Taner Z Sen; Haitao Cheng; Andrzej Kloczkowski; Robert L Jernigan
Journal:  Protein Sci       Date:  2006-09-25       Impact factor: 6.725

6.  The network of sequence flow between protein structures.

Authors:  Leonid Meyerguz; Jon Kleinberg; Ron Elber
Journal:  Proc Natl Acad Sci U S A       Date:  2007-06-27       Impact factor: 11.205

Review 7.  Protein design: toward functional metalloenzymes.

Authors:  Fangting Yu; Virginia M Cangelosi; Melissa L Zastrow; Matteo Tegoni; Jefferson S Plegaria; Alison G Tebo; Catherine S Mocny; Leela Ruckthong; Hira Qayyum; Vincent L Pecoraro
Journal:  Chem Rev       Date:  2014-03-24       Impact factor: 60.622

8.  Design of a zinc-finger hydrolase with a synthetic αββ protein.

Authors:  Kinshuk Raj Srivastava; Susheel Durani
Journal:  PLoS One       Date:  2014-05-09       Impact factor: 3.240

Review 9.  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

10.  A computational framework to empower probabilistic protein design.

Authors:  Menachem Fromer; Chen Yanover
Journal:  Bioinformatics       Date:  2008-07-01       Impact factor: 6.937

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