Literature DB >> 26575337

An amino acid code to define a protein's tertiary packing surface.

Keith J Fraga1, Hyun Joo1, Jerry Tsai1.   

Abstract

One difficult aspect of the protein-folding problem is characterizing the nonspecific interactions that define packing in protein tertiary structure. To better understand tertiary structure, this work extends the knob-socket model by classifying the interactions of a single knob residue packed into a set of contiguous sockets, or a pocket made up of 4 or more residues. The knob-socket construct allows for a symbolic two-dimensional mapping of pockets. The two-dimensional mapping of pockets provides a simple method to investigate the variety of pocket shapes to understand the geometry of protein tertiary surfaces. The diversity of pocket geometries can be organized into groups of pockets that share a common core, which suggests that some interactions in pockets are ancillary to packing. Further analysis of pocket geometries displays a preferred configuration that is right-handed in α-helices and left-handed in β-sheets. The amino acid composition of pockets illustrates the importance of nonpolar amino acids in packing as well as position specificity. As expected, all pocket shapes prefer to pack with hydrophobic knobs; however, knobs are not selective for the pockets they pack. Investigating side-chain rotamer preferences for certain pocket shapes uncovers no strong correlations. These findings allow a simple vocabulary based on knobs and sockets to describe protein tertiary packing that supports improved analysis, design, and prediction of protein structure.
© 2015 Wiley Periodicals, Inc.

Entities:  

Keywords:  knob-socket analysis; nonspecific protein interactions; packing pocket; protein packing; protein tertiary structure

Mesh:

Substances:

Year:  2015        PMID: 26575337      PMCID: PMC5573162          DOI: 10.1002/prot.24966

Source DB:  PubMed          Journal:  Proteins        ISSN: 0887-3585


  53 in total

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Authors:  Hyun Joo; Jerry Tsai
Journal:  Proteins       Date:  2014-04-16

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Authors:  Steffen B Petersen; Maria Teresa Neves-Petersen; Svend B Henriksen; Rasmus J Mortensen; Henrik M Geertz-Hansen
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  4 in total

1.  KScons: a Bayesian approach for protein residue contact prediction using the knob-socket model of protein tertiary structure.

Authors:  Qiwei Li; David B Dahl; Marina Vannucci; Hyun Joo; Jerry W Tsai
Journal:  Bioinformatics       Date:  2016-08-24       Impact factor: 6.937

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Authors:  Hyun Joo; Archana G Chavan; Keith J Fraga; Jerry Tsai
Journal:  Proteins       Date:  2015-10-05

3.  Applying graph theory to protein structures: an Atlas of coiled coils.

Authors:  Jack W Heal; Gail J Bartlett; Christopher W Wood; Andrew R Thomson; Derek N Woolfson
Journal:  Bioinformatics       Date:  2018-10-01       Impact factor: 6.937

4.  A Rational Approach for Creating Peptides Mimicking Antibody Binding.

Authors:  Sameer Sachdeva; Hyun Joo; Jerry Tsai; Bhaskara Jasti; Xiaoling Li
Journal:  Sci Rep       Date:  2019-01-30       Impact factor: 4.379

  4 in total

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