Literature DB >> 9007974

Hydrophobic folding units derived from dissimilar monomer structures and their interactions.

C J Tsai1, R Nussinov.   

Abstract

We have designed an automated procedure to cut a protein into compact hydrophobic folding units. The hydrophobic units are large enough to contain tertiary non-local interactions, reflecting potential nucleation sites during protein folding. The quality of a hydrophobic folding unit is evaluated by four criteria. The first two correspond to visual characterization of a structural domain, namely, compactness and extent of isolation. We use the definition of Zehfus and Rose (Zehfus MH, Rose GD, 1986, Biochemistry 25:35-340) to calculate the compactness of a cut protein unit. The isolation of a unit is based on the solvent accessible surface area (ASA) originally buried in the interior and exposed to the solvent after cutting. The third quantity is the hydrophobicity, equivalent to the fraction of the buried non-polar ASA with respect to the total non-polar ASA. The last criterion in the evaluation of a folding unit is the number of segments it includes. To conform with the rationale of obtaining hydrophobic units, which may relate to early folding events, the hydrophobic interactions are implicitly and explicitly applied in their generation and assessment. We follow Holm and Sander (Holm L, Sander C, 1994, Proteins 19:256-268) to reduce the multiple cutting-point problem to a one-dimensional search for all reasonable trial cuts. However, as here we focus on the hydrophobic cores, the contact matrix used to obtain the first non-trivial eigenvector contains only hydrophobic contracts, rather than all, hydrophobic and hydrophilic, interactions. This dataset of hydrophobic folding units, derived from structurally dissimilar single chain monomers, is particularly useful for investigations of the mechanism of protein folding. For cases where there are kinetic data, the one or more hydrophobic folding units generated for a protein correlate with the two or with the three-state folding process observed. We carry out extensive amino acid sequence order independent structural comparisons to generate a structurally non-redundant set of hydrophobic folding units for fold recognition and for statistical purposes.

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Year:  1997        PMID: 9007974      PMCID: PMC2143523          DOI: 10.1002/pro.5560060104

Source DB:  PubMed          Journal:  Protein Sci        ISSN: 0961-8368            Impact factor:   6.725


  29 in total

1.  Molecular basis of co-operativity in protein folding. III. Structural identification of cooperative folding units and folding intermediates.

Authors:  K P Murphy; V Bhakuni; D Xie; E Freire
Journal:  J Mol Biol       Date:  1992-09-05       Impact factor: 5.469

Review 2.  Dominant forces in protein folding.

Authors:  K A Dill
Journal:  Biochemistry       Date:  1990-08-07       Impact factor: 3.162

3.  Efficient detection of three-dimensional structural motifs in biological macromolecules by computer vision techniques.

Authors:  R Nussinov; H J Wolfson
Journal:  Proc Natl Acad Sci U S A       Date:  1991-12-01       Impact factor: 11.205

4.  Studies of protein-protein interfaces: a statistical analysis of the hydrophobic effect.

Authors:  C J Tsai; S L Lin; H J Wolfson; R Nussinov
Journal:  Protein Sci       Date:  1997-01       Impact factor: 6.725

5.  Compact units in proteins.

Authors:  M H Zehfus; G D Rose
Journal:  Biochemistry       Date:  1986-09-23       Impact factor: 3.162

6.  Environment and exposure to solvent of protein atoms. Lysozyme and insulin.

Authors:  A Shrake; J A Rupley
Journal:  J Mol Biol       Date:  1973-09-15       Impact factor: 5.469

7.  Hierarchic organization of domains in globular proteins.

Authors:  G D Rose
Journal:  J Mol Biol       Date:  1979-11-05       Impact factor: 5.469

8.  Improved calculations of compactness and a reevaluation of continuous compact units.

Authors:  M H Zehfus
Journal:  Proteins       Date:  1993-07

9.  Location of structural domains in protein.

Authors:  S J Wodak; J Janin
Journal:  Biochemistry       Date:  1981-11-10       Impact factor: 3.162

10.  Location of domains in globular proteins.

Authors:  A A Rashin
Journal:  Nature       Date:  1981-05-07       Impact factor: 49.962

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  22 in total

Review 1.  Folding funnels, binding funnels, and protein function.

Authors:  C J Tsai; S Kumar; B Ma; R Nussinov
Journal:  Protein Sci       Date:  1999-06       Impact factor: 6.725

2.  Identifying the structural boundaries of independent folding domains in the alpha subunit of tryptophan synthase, a beta/alpha barrel protein.

Authors:  J A Zitzewitz; P J Gualfetti; I A Perkons; S A Wasta; C R Matthews
Journal:  Protein Sci       Date:  1999-06       Impact factor: 6.725

3.  Protein folding and function: the N-terminal fragment in adenylate kinase.

Authors:  S Kumar; Y Y Sham; C J Tsai; R Nussinov
Journal:  Biophys J       Date:  2001-05       Impact factor: 4.033

4.  Molecular dynamics simulation of Escherichia coli dihydrofolate reductase and its protein fragments: relative stabilities in experiment and simulations.

Authors:  Y Y Sham; B Ma; C J Tsai; R Nussinov
Journal:  Protein Sci       Date:  2001-01       Impact factor: 6.725

5.  Cooperative folding units of escherichia coli tryptophan repressor.

Authors:  A Wallqvist; T A Lavoie; J A Chanatry; D G Covell; J Carey
Journal:  Biophys J       Date:  1999-09       Impact factor: 4.033

Review 6.  Folding and binding cascades: shifts in energy landscapes.

Authors:  C J Tsai; B Ma; R Nussinov
Journal:  Proc Natl Acad Sci U S A       Date:  1999-08-31       Impact factor: 11.205

7.  Distinguishing between sequential and nonsequentially folded proteins: implications for folding and misfolding.

Authors:  C J Tsai; J V Maizel; R Nussinov
Journal:  Protein Sci       Date:  1999-08       Impact factor: 6.725

8.  A systematic study of the vibrational free energies of polypeptides in folded and random states.

Authors:  B Ma; C J Tsai; R Nussinov
Journal:  Biophys J       Date:  2000-11       Impact factor: 4.033

9.  Anatomy of protein structures: visualizing how a one-dimensional protein chain folds into a three-dimensional shape.

Authors:  C J Tsai; J V Maizel; R Nussinov
Journal:  Proc Natl Acad Sci U S A       Date:  2000-10-24       Impact factor: 11.205

10.  Comparison of protein fragments identified by limited proteolysis and by computational cutting of proteins.

Authors:  Chung-Jung Tsai; Patrizia Polverino de Laureto; Angelo Fontana; Ruth Nussinov
Journal:  Protein Sci       Date:  2002-07       Impact factor: 6.725

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