Literature DB >> 20421501

Global characteristics of protein sequences and their implications.

S Rackovsky1.   

Abstract

Computational studies of the relationships between protein sequence, structure, and folding have traditionally relied on purely local sequence representations. Here we show that global representations, on the basis of parameters that encode information about complete sequences, contain otherwise inaccessible information about the organization of sequences. By studying the spectral properties of these parameters, we demonstrate that amino acid physical properties fall into two distinct classes. One class is comprised of properties that favor sequentially localized interaction clusters. The other class is comprised of properties that favor globally distributed interactions. This observation provides a bridge between two classic models of protein folding-the collapse model and the nucleation model-and provides a basis for understanding how any degree of intermediacy between these two extremes can occur.

Mesh:

Substances:

Year:  2010        PMID: 20421501      PMCID: PMC2889366          DOI: 10.1073/pnas.1001299107

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


  18 in total

1.  Optimized representations and maximal information in proteins.

Authors:  A D Solis; S Rackovsky
Journal:  Proteins       Date:  2000-02-01

2.  Wavelet transforms for the characterization and detection of repeating motifs.

Authors:  Kevin B Murray; Denise Gorse; Janet M Thornton
Journal:  J Mol Biol       Date:  2002-02-15       Impact factor: 5.469

Review 3.  Nonlinear signal analysis methods in the elucidation of protein sequence-structure relationships.

Authors:  Alessandro Giuliani; Romualdo Benigni; Joseph P Zbilut; Charles L Webber; Paolo Sirabella; Alfredo Colosimo
Journal:  Chem Rev       Date:  2002-05       Impact factor: 60.622

4.  Optimally informative backbone structural propensities in proteins.

Authors:  Armando D Solis; S Rackovsky
Journal:  Proteins       Date:  2002-08-15

5.  Sequence periodicity and secondary structure propensity in model proteins.

Authors:  Giovanni Bellesia; Andrew Iain Jewett; Joan-Emma Shea
Journal:  Protein Sci       Date:  2010-01       Impact factor: 6.725

6.  Hydrophobicity scales and computational techniques for detecting amphipathic structures in proteins.

Authors:  J L Cornette; K B Cease; H Margalit; J L Spouge; J A Berzofsky; C DeLisi
Journal:  J Mol Biol       Date:  1987-06-05       Impact factor: 5.469

7.  On the existence and implications of an inverse folding code in proteins.

Authors:  S Rackovsky
Journal:  Proc Natl Acad Sci U S A       Date:  1995-07-18       Impact factor: 11.205

8.  Periodicity of polar and nonpolar amino acids is the major determinant of secondary structure in self-assembling oligomeric peptides.

Authors:  H Xiong; B L Buckwalter; H M Shieh; M H Hecht
Journal:  Proc Natl Acad Sci U S A       Date:  1995-07-03       Impact factor: 11.205

9.  On the nature of the protein folding code.

Authors:  S Rackovsky
Journal:  Proc Natl Acad Sci U S A       Date:  1993-01-15       Impact factor: 11.205

10.  The hydrophobic moment detects periodicity in protein hydrophobicity.

Authors:  D Eisenberg; R M Weiss; T C Terwilliger
Journal:  Proc Natl Acad Sci U S A       Date:  1984-01       Impact factor: 11.205

View more
  12 in total

1.  Nonlinearities in protein space limit the utility of informatics in protein biophysics.

Authors:  S Rackovsky
Journal:  Proteins       Date:  2015-09-10

2.  Global informatics and physical property selection in protein sequences.

Authors:  Harold A Scheraga; S Rackovsky
Journal:  Proc Natl Acad Sci U S A       Date:  2016-02-01       Impact factor: 11.205

3.  Sequence-specific dynamic information in proteins.

Authors:  H A Scheraga; S Rackovsky
Journal:  Proteins       Date:  2019-06-11

4.  Homolog detection using global sequence properties suggests an alternate view of structural encoding in protein sequences.

Authors:  Harold A Scheraga; S Rackovsky
Journal:  Proc Natl Acad Sci U S A       Date:  2014-03-24       Impact factor: 11.205

5.  The structure of protein dynamic space.

Authors:  S Rackovsky; Harold A Scheraga
Journal:  Proc Natl Acad Sci U S A       Date:  2020-08-05       Impact factor: 11.205

6.  Prediction of functionally important residues in globular proteins from unusual central distances of amino acids.

Authors:  Marek Kochańczyk
Journal:  BMC Struct Biol       Date:  2011-09-18

7.  3D representations of amino acids-applications to protein sequence comparison and classification.

Authors:  Jie Li; Patrice Koehl
Journal:  Comput Struct Biotechnol J       Date:  2014-09-06       Impact factor: 7.271

8.  An improved sequence based prediction protocol for DNA-binding proteins using SVM and comprehensive feature analysis.

Authors:  Chuanxin Zou; Jiayu Gong; Honglin Li
Journal:  BMC Bioinformatics       Date:  2013-03-09       Impact factor: 3.169

9.  Distribution and cluster analysis of predicted intrinsically disordered protein Pfam domains.

Authors:  Robert W Williams; Bin Xue; Vladimir N Uversky; A Keith Dunker
Journal:  Intrinsically Disord Proteins       Date:  2013-04-01

10.  Comparative Analysis of B-Cell Receptor Repertoires Induced by Live Yellow Fever Vaccine in Young and Middle-Age Donors.

Authors:  Alexey N Davydov; Anna S Obraztsova; Mikhail Y Lebedin; Maria A Turchaninova; Dmitriy B Staroverov; Ekaterina M Merzlyak; George V Sharonov; Olga Kladova; Mikhail Shugay; Olga V Britanova; Dmitriy M Chudakov
Journal:  Front Immunol       Date:  2018-10-09       Impact factor: 7.561

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.