Literature DB >> 16698546

High-resolution structural validation of the computational redesign of human U1A protein.

Neil Dobson1, Gautam Dantas, David Baker, Gabriele Varani.   

Abstract

Achieving atomic-level resolution in the computational design of a protein structure remains a challenging problem despite recent progress. Rigorous experimental tests are needed to improve protein design algorithms, yet studies of the structure and dynamics of computationally designed proteins are very few. The NMR structure and backbone dynamics of a redesigned protein of 96 amino acids are compared here with the design target, human U1A protein. We demonstrate that the redesigned protein reproduces the target structure to within the uncertainty of the NMR coordinates, even as 65 out of 96 amino acids were simultaneously changed by purely computational methods. The dynamics of the backbone of the redesigned protein also mirror those of human U1A, suggesting that the protein design algorithm captures the shape of the potential energy landscape in addition to the local energy minimum.

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Year:  2006        PMID: 16698546     DOI: 10.1016/j.str.2006.02.011

Source DB:  PubMed          Journal:  Structure        ISSN: 0969-2126            Impact factor:   5.006


  12 in total

1.  Improving computational protein design by using structure-derived sequence profile.

Authors:  Liang Dai; Yuedong Yang; Hyung Rae Kim; Yaoqi Zhou
Journal:  Proteins       Date:  2010-08-01

Review 2.  Progress in computational protein design.

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

3.  Prediction of salt and mutational effects on the association rate of U1A protein and U1 small nuclear RNA stem/loop II.

Authors:  Sanbo Qin; Huan-Xiang Zhou
Journal:  J Phys Chem B       Date:  2007-12-22       Impact factor: 2.991

4.  Computational protein design and large-scale assessment by I-TASSER structure assembly simulations.

Authors:  Andrea Bazzoli; Andrea G B Tettamanzi; Yang Zhang
Journal:  J Mol Biol       Date:  2011-02-15       Impact factor: 5.469

Review 5.  Conformational diversity and computational enzyme design.

Authors:  Jonathan K Lassila
Journal:  Curr Opin Chem Biol       Date:  2010-09-07       Impact factor: 8.822

Review 6.  Energy functions in de novo protein design: current challenges and future prospects.

Authors:  Zhixiu Li; Yuedong Yang; Jian Zhan; Liang Dai; Yaoqi Zhou
Journal:  Annu Rev Biophys       Date:  2013-02-28       Impact factor: 12.981

7.  Scientific benchmarks for guiding macromolecular energy function improvement.

Authors:  Andrew Leaver-Fay; Matthew J O'Meara; Mike Tyka; Ron Jacak; Yifan Song; Elizabeth H Kellogg; James Thompson; Ian W Davis; Roland A Pache; Sergey Lyskov; Jeffrey J Gray; Tanja Kortemme; Jane S Richardson; James J Havranek; Jack Snoeyink; David Baker; Brian Kuhlman
Journal:  Methods Enzymol       Date:  2013       Impact factor: 1.600

8.  Structure of the yeast SR protein Npl3 and Interaction with mRNA 3'-end processing signals.

Authors:  Pritilekha Deka; Miriam E Bucheli; Claire Moore; Stephen Buratowski; Gabriele Varani
Journal:  J Mol Biol       Date:  2007-09-16       Impact factor: 5.469

9.  Direct prediction of profiles of sequences compatible with a protein structure by neural networks with fragment-based local and energy-based nonlocal profiles.

Authors:  Zhixiu Li; Yuedong Yang; Eshel Faraggi; Jian Zhan; Yaoqi Zhou
Journal:  Proteins       Date:  2014-06-19

Review 10.  Sequence-specific binding of single-stranded RNA: is there a code for recognition?

Authors:  Sigrid D Auweter; Florian C Oberstrass; Frédéric H-T Allain
Journal:  Nucleic Acids Res       Date:  2006-09-18       Impact factor: 16.971

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