Literature DB >> 19706520

Sequence physical properties encode the global organization of protein structure space.

S Rackovsky1.   

Abstract

It is demonstrated that, properly represented, the amino acid composition of protein sequences contains the information necessary to delineate the global properties of protein structure space. A numerical representation of amino acid sequence in terms of a set of property factors is used, and the values of those property factors are averaged over individual sequences and then over sets of sequences belonging to structurally defined groups. These sequence sets then can be viewed as points in a 10-dimensional space, and the organization of that space, determined only by sequence properties, is similar at both local and global scales to that of the space of protein structures determined previously.

Mesh:

Substances:

Year:  2009        PMID: 19706520      PMCID: PMC2732808          DOI: 10.1073/pnas.0903433106

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


  19 in total

1.  Quantitative organization of the known protein x-ray structures. I. Methods and short-length-scale results.

Authors:  S Rackovsky
Journal:  Proteins       Date:  1990

2.  "Hidden" sequence periodicities and protein architecture.

Authors:  S Rackovsky
Journal:  Proc Natl Acad Sci U S A       Date:  1998-07-21       Impact factor: 11.205

3.  An intriguing controversy over protein structural class prediction.

Authors:  G P Zhou
Journal:  J Protein Chem       Date:  1998-11

4.  CATH--a hierarchic classification of protein domain structures.

Authors:  C A Orengo; A D Michie; S Jones; D T Jones; M B Swindells; J M Thornton
Journal:  Structure       Date:  1997-08-15       Impact factor: 5.006

5.  The folding type of a protein is relevant to the amino acid composition.

Authors:  H Nakashima; K Nishikawa; T Ooi
Journal:  J Biochem       Date:  1986-01       Impact factor: 3.387

6.  Prediction of protein folding class using global description of amino acid sequence.

Authors:  I Dubchak; I Muchnik; S R Holbrook; S H Kim
Journal:  Proc Natl Acad Sci U S A       Date:  1995-09-12       Impact factor: 11.205

7.  A sequence property approach to searching protein databases.

Authors:  U Hobohm; C Sander
Journal:  J Mol Biol       Date:  1995-08-18       Impact factor: 5.469

8.  Families and the structural relatedness among globular proteins.

Authors:  D P Yee; K A Dill
Journal:  Protein Sci       Date:  1993-06       Impact factor: 6.725

9.  The DEF data base of sequence based protein fold class predictions.

Authors:  M Reczko; H Bohr
Journal:  Nucleic Acids Res       Date:  1994-09       Impact factor: 16.971

10.  A new family of powerful multivariate statistical sequence analysis techniques.

Authors:  M van Heel
Journal:  J Mol Biol       Date:  1991-08-20       Impact factor: 5.469

View more
  20 in total

1.  Global characteristics of protein sequences and their implications.

Authors:  S Rackovsky
Journal:  Proc Natl Acad Sci U S A       Date:  2010-04-26       Impact factor: 11.205

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

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

3.  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

4.  High-throughput measurement, correlation analysis, and machine-learning predictions for pH and thermal stabilities of Pfizer-generated antibodies.

Authors:  Amy C King; Matthew Woods; Wei Liu; Zhijian Lu; Davinder Gill; Mark R H Krebs
Journal:  Protein Sci       Date:  2011-07-13       Impact factor: 6.725

5.  Sequence-specific dynamic information in proteins.

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

6.  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

7.  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

8.  An Algebro-topological description of protein domain structure.

Authors:  Robert Clark Penner; Michael Knudsen; Carsten Wiuf; Jørgen Ellegaard Andersen
Journal:  PLoS One       Date:  2011-05-24       Impact factor: 3.240

9.  FEGS: a novel feature extraction model for protein sequences and its applications.

Authors:  Zengchao Mu; Ting Yu; Xiaoping Liu; Hongyu Zheng; Leyi Wei; Juntao Liu
Journal:  BMC Bioinformatics       Date:  2021-06-03       Impact factor: 3.169

10.  Relationships between kinetic constants and the amino acid composition of enzymes from the yeast Saccharomyces cerevisiae glycolysis pathway.

Authors:  Peteris Zikmanis; Inara Kampenusa
Journal:  EURASIP J Bioinform Syst Biol       Date:  2012-08-06
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.