Literature DB >> 19903882

Toward a quantitative theory of intrinsically disordered proteins and their function.

Jintao Liu1, James R Faeder, Carlos J Camacho.   

Abstract

A large number of proteins are sufficiently unstable that their full 3D structure cannot be resolved. The origins of this intrinsic disorder are not well understood, but its ubiquitous presence undercuts the principle that a protein's structure determines its function. Here we present a quantitative theory that makes predictions regarding the role of intrinsic disorder in protein structure and function. In particular, we discuss the implications of analytical solutions of a series of fundamental thermodynamic models of protein interactions in which disordered proteins are characterized by positive folding free energies. We validate our predictions by assigning protein function by using the gene ontology classification--in which "protein binding", "catalytic activity", and "transcription regulator activity" are the three largest functional categories--and by performing genome-wide surveys of both the amount of disorder in these functional classes and binding affinities for both prokaryotic and eukaryotic genomes. Specifically, without assuming any a priori structure-function relationship, the theory predicts that both catalytic and low-affinity binding (K(d) greater, >or= 0(-7) M) proteins prefer ordered structures, whereas only high-affinity binding proteins (found mostly in eukaryotes) can tolerate disorder. Relevant to both transcription and signal transduction, the theory also explains how increasing disorder can tune the binding affinity to maximize the specificity of promiscuous interactions. Collectively, these studies provide insight into how natural selection acts on folding stability to optimize protein function.

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Year:  2009        PMID: 19903882      PMCID: PMC2775701          DOI: 10.1073/pnas.0907710106

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  35 in total

1.  The Protein Data Bank.

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Journal:  Nucleic Acids Res       Date:  2000-01-01       Impact factor: 16.971

Review 2.  Searching for specificity in SH domains.

Authors:  J E Ladbury; S Arold
Journal:  Chem Biol       Date:  2000-01

Review 3.  Intrinsically unstructured proteins: re-assessing the protein structure-function paradigm.

Authors:  P E Wright; H J Dyson
Journal:  J Mol Biol       Date:  1999-10-22       Impact factor: 5.469

4.  The PDBbind database: methodologies and updates.

Authors:  Renxiao Wang; Xueliang Fang; Yipin Lu; Chao-Yie Yang; Shaomeng Wang
Journal:  J Med Chem       Date:  2005-06-16       Impact factor: 7.446

5.  Coupling of local folding to site-specific binding of proteins to DNA.

Authors:  R S Spolar; M T Record
Journal:  Science       Date:  1994-02-11       Impact factor: 47.728

6.  Alternative splicing in concert with protein intrinsic disorder enables increased functional diversity in multicellular organisms.

Authors:  Pedro R Romero; Saima Zaidi; Ya Yin Fang; Vladimir N Uversky; Predrag Radivojac; Christopher J Oldfield; Marc S Cortese; Megan Sickmeier; Tanguy LeGall; Zoran Obradovic; A Keith Dunker
Journal:  Proc Natl Acad Sci U S A       Date:  2006-05-22       Impact factor: 11.205

7.  Intrinsic protein disorder in complete genomes.

Authors:  A K Dunker; Z Obradovic; P Romero; E C Garner; C J Brown
Journal:  Genome Inform Ser Workshop Genome Inform       Date:  2000

8.  Protein disorder prediction: implications for structural proteomics.

Authors:  Rune Linding; Lars Juhl Jensen; Francesca Diella; Peer Bork; Toby J Gibson; Robert B Russell
Journal:  Structure       Date:  2003-11       Impact factor: 5.006

9.  Prediction and functional analysis of native disorder in proteins from the three kingdoms of life.

Authors:  J J Ward; J S Sodhi; L J McGuffin; B F Buxton; D T Jones
Journal:  J Mol Biol       Date:  2004-03-26       Impact factor: 5.469

10.  The universal protein resource (UniProt).

Authors: 
Journal:  Nucleic Acids Res       Date:  2007-11-27       Impact factor: 16.971

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  49 in total

1.  Prediction of protein-protein binding free energies.

Authors:  Thom Vreven; Howook Hwang; Brian G Pierce; Zhiping Weng
Journal:  Protein Sci       Date:  2012-02-02       Impact factor: 6.725

2.  Sequence composition and environment effects on residue fluctuations in protein structures.

Authors:  Anatoly M Ruvinsky; Ilya A Vakser
Journal:  J Chem Phys       Date:  2010-10-21       Impact factor: 3.488

3.  Proline-rich salivary proteins have extended conformations.

Authors:  Hélène Boze; Thérèse Marlin; Dominique Durand; Javier Pérez; Aude Vernhet; Francis Canon; Pascale Sarni-Manchado; Véronique Cheynier; Bernard Cabane
Journal:  Biophys J       Date:  2010-07-21       Impact factor: 4.033

4.  Reductive evolution of proteomes and protein structures.

Authors:  Minglei Wang; Charles G Kurland; Gustavo Caetano-Anollés
Journal:  Proc Natl Acad Sci U S A       Date:  2011-07-05       Impact factor: 11.205

5.  Expanding the proteome: disordered and alternatively folded proteins.

Authors:  H Jane Dyson
Journal:  Q Rev Biophys       Date:  2011-07-01       Impact factor: 5.318

6.  PRR4: A novel downregulated gene in laryngeal cancer.

Authors:  Seda Ekizoglu; Turgut Ulutin; Jalal Guliyev; Nur Buyru
Journal:  Oncol Lett       Date:  2018-01-29       Impact factor: 2.967

7.  Mapping residual structure in intrinsically disordered proteins at residue resolution using millisecond hydrogen/deuterium exchange and residue averaging.

Authors:  Theodore R Keppel; David D Weis
Journal:  J Am Soc Mass Spectrom       Date:  2014-12-07       Impact factor: 3.109

8.  The BADC and BCCP subunits of chloroplast acetyl-CoA carboxylase sense the pH changes of the light-dark cycle.

Authors:  Yajin Ye; Yan G Fulcher; David J Sliman; Mizani T Day; Mark J Schroeder; Rama K Koppisetti; Philip D Bates; Jay J Thelen; Steven R Van Doren
Journal:  J Biol Chem       Date:  2020-05-27       Impact factor: 5.157

Review 9.  Hub promiscuity in protein-protein interaction networks.

Authors:  Ashwini Patil; Kengo Kinoshita; Haruki Nakamura
Journal:  Int J Mol Sci       Date:  2010-04-26       Impact factor: 5.923

10.  Intrinsically disordered domains deviate significantly from random sequences in mammalian proteins.

Authors:  Shunsuke Teraguchi; Ashwini Patil; Daron M Standley
Journal:  BMC Bioinformatics       Date:  2010-10-15       Impact factor: 3.169

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