Literature DB >> 16689627

Computer-based design of novel protein structures.

Glenn L Butterfoss1, Brian Kuhlman.   

Abstract

Over the past 10 years there has been tremendous success in the area of computational protein design. Protein design software has been used to stabilize proteins, solubilize membrane proteins, design intermolecular interactions, and design new protein structures. A key motivation for these studies is that they test our understanding of protein energetics and structure. De novo design of novel structures is a particularly rigorous test because the protein backbone must be designed in addition to the amino acid side chains. A priori it is not guaranteed that the target backbone is even designable. To address this issue, researchers have developed a variety of methods for generating protein-like scaffolds and for optimizing the protein backbone in conjunction with the amino acid sequence. These protocols have been used to design proteins from scratch and to explore sequence space for naturally occurring protein folds.

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Year:  2006        PMID: 16689627     DOI: 10.1146/annurev.biophys.35.040405.102046

Source DB:  PubMed          Journal:  Annu Rev Biophys Biomol Struct        ISSN: 1056-8700


  42 in total

1.  Computational design of a protein crystal.

Authors:  Christopher J Lanci; Christopher M MacDermaid; Seung-gu Kang; Rudresh Acharya; Benjamin North; Xi Yang; X Jade Qiu; William F DeGrado; Jeffery G Saven
Journal:  Proc Natl Acad Sci U S A       Date:  2012-04-25       Impact factor: 11.205

Review 2.  Overview of regulatory strategies and molecular elements in metabolic engineering of bacteria.

Authors:  Tianwen Wang; Xingyuan Ma; Guocheng Du; Jian Chen
Journal:  Mol Biotechnol       Date:  2012-11       Impact factor: 2.695

3.  Folding simulations of a de novo designed protein with a betaalphabeta fold.

Authors:  Yifei Qi; Yongqi Huang; Huanhuan Liang; Zhirong Liu; Luhua Lai
Journal:  Biophys J       Date:  2010-01-20       Impact factor: 4.033

4.  A gradient-directed Monte Carlo method for global optimization in a discrete space: application to protein sequence design and folding.

Authors:  Xiangqian Hu; David N Beratan; Weitao Yang
Journal:  J Chem Phys       Date:  2009-10-21       Impact factor: 3.488

5.  Structural insights into conformational stability of wild-type and mutant beta1-adrenergic receptor.

Authors:  Gouthaman S Balaraman; Supriyo Bhattacharya; Nagarajan Vaidehi
Journal:  Biophys J       Date:  2010-07-21       Impact factor: 4.033

6.  Protein folding: are we there yet?

Authors:  A Clay Clark
Journal:  Arch Biochem Biophys       Date:  2008-01-01       Impact factor: 4.013

7.  Computationally mapping sequence space to understand evolutionary protein engineering.

Authors:  Kathryn A Armstrong; Bruce Tidor
Journal:  Biotechnol Prog       Date:  2007-11-17

8.  Modeling backbone flexibility to achieve sequence diversity: the design of novel alpha-helical ligands for Bcl-xL.

Authors:  Xiaoran Fu; James R Apgar; Amy E Keating
Journal:  J Mol Biol       Date:  2007-05-05       Impact factor: 5.469

Review 9.  Progress in computational protein design.

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

10.  A designed protein as experimental model of primordial folding.

Authors:  Mourad Sadqi; Eva de Alba; Raúl Pérez-Jiménez; Jose M Sanchez-Ruiz; Victor Muñoz
Journal:  Proc Natl Acad Sci U S A       Date:  2009-02-24       Impact factor: 11.205

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