Literature DB >> 30793871

On the Need to Develop Guidelines for Characterizing and Reporting Intrinsic Disorder in Proteins.

Michael Vincent1, Vladimir N Uversky2,3, Santiago Schnell4,5.   

Abstract

Since the early 2000s, numerous computational tools have been created and used to predict intrinsic disorder in proteins. At present, the output from these algorithms is difficult to interpret in the absence of standards or references for comparison. There are many reasons to establish a set of standard-based guidelines to evaluate computational protein disorder predictions. This viewpoint explores a handful of these reasons, including standardizing nomenclature to improve communication, rigor and reproducibility, and making it easier for newcomers to enter the field. An approach for reporting predicted disorder in single proteins with respect to whole proteomes is discussed. The suggestions are not intended to be formulaic; they should be viewed as a starting point to establish guidelines for interpreting and reporting computational protein disorder predictions.
© 2019 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Keywords:  bioinformatics; computational biology; intrinsically disordered proteins; protein sequences; protein structures; proteomics

Mesh:

Substances:

Year:  2019        PMID: 30793871      PMCID: PMC6571172          DOI: 10.1002/pmic.201800415

Source DB:  PubMed          Journal:  Proteomics        ISSN: 1615-9853            Impact factor:   3.984


  74 in total

1.  The protein non-folding problem: amino acid determinants of intrinsic order and disorder.

Authors:  R M Williams; Z Obradovi; V Mathura; W Braun; E C Garner; J Young; S Takayama; C J Brown; A K Dunker
Journal:  Pac Symp Biocomput       Date:  2001

2.  Predicting intrinsic disorder from amino acid sequence.

Authors:  Zoran Obradovic; Kang Peng; Slobodan Vucetic; Predrag Radivojac; Celeste J Brown; A Keith Dunker
Journal:  Proteins       Date:  2003

3.  NACP, a protein implicated in Alzheimer's disease and learning, is natively unfolded.

Authors:  P H Weinreb; W Zhen; A W Poon; K A Conway; P T Lansbury
Journal:  Biochemistry       Date:  1996-10-29       Impact factor: 3.162

4.  X-ray crystal structure of a recombinant human myoglobin mutant at 2.8 A resolution.

Authors:  S R Hubbard; W A Hendrickson; D G Lambright; S G Boxer
Journal:  J Mol Biol       Date:  1990-05-20       Impact factor: 5.469

5.  Effect of Intrinsic Disorder and Self-Association on the Translational Diffusion of Proteins: The Case of α-Casein.

Authors:  Daria L Melnikova; Vladimir D Skirda; Irina V Nesmelova
Journal:  J Phys Chem B       Date:  2017-03-31       Impact factor: 2.991

6.  Mobi 2.0: an improved method to define intrinsic disorder, mobility and linear binding regions in protein structures.

Authors:  Damiano Piovesan; Silvio C E Tosatto
Journal:  Bioinformatics       Date:  2018-01-01       Impact factor: 6.937

7.  Intrinsic disorder in cell-signaling and cancer-associated proteins.

Authors:  Lilia M Iakoucheva; Celeste J Brown; J David Lawson; Zoran Obradović; A Keith Dunker
Journal:  J Mol Biol       Date:  2002-10-25       Impact factor: 5.469

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.  D²P²: database of disordered protein predictions.

Authors:  Matt E Oates; Pedro Romero; Takashi Ishida; Mohamed Ghalwash; Marcin J Mizianty; Bin Xue; Zsuzsanna Dosztányi; Vladimir N Uversky; Zoran Obradovic; Lukasz Kurgan; A Keith Dunker; Julian Gough
Journal:  Nucleic Acids Res       Date:  2012-11-29       Impact factor: 16.971

10.  Improved disorder prediction by combination of orthogonal approaches.

Authors:  Avner Schlessinger; Marco Punta; Guy Yachdav; Laszlo Kajan; Burkhard Rost
Journal:  PLoS One       Date:  2009-02-11       Impact factor: 3.240

View more
  3 in total

1.  Dendritic peptide-conjugated polymeric nanovectors for non-toxic delivery of plasmid DNA and enhanced non-viral transfection of immune cells.

Authors:  Sijia Yi; Sun-Young Kim; Michael P Vincent; Simseok A Yuk; Sharan Bobbala; Fanfan Du; Evan Alexander Scott
Journal:  iScience       Date:  2022-06-08

2.  A Suggestion of Converting Protein Intrinsic Disorder to Structural Entropy Using Shannon's Information Theory.

Authors:  Hao-Bo Guo; Yue Ma; Gerald A Tuskan; Hong Qin; Xiaohan Yang; Hong Guo
Journal:  Entropy (Basel)       Date:  2019-06-14       Impact factor: 2.524

3.  Analysis of Protein Disorder Predictions in the Light of a Protein Structural Alphabet.

Authors:  Alexandre G de Brevern
Journal:  Biomolecules       Date:  2020-07-20
  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.