From protein sequence to dynamics and disorder with DynaMine
- PMID: 24225580
- DOI: 10.1038/ncomms3741
From protein sequence to dynamics and disorder with DynaMine
Abstract
Protein function and dynamics are closely related; however, accurate dynamics information is difficult to obtain. Here based on a carefully assembled data set derived from experimental data for proteins in solution, we quantify backbone dynamics properties on the amino-acid level and develop DynaMine--a fast, high-quality predictor of protein backbone dynamics. DynaMine uses only protein sequence information as input and shows great potential in distinguishing regions of different structural organization, such as folded domains, disordered linkers, molten globules and pre-structured binding motifs of different sizes. It also identifies disordered regions within proteins with an accuracy comparable to the most sophisticated existing predictors, without depending on prior disorder knowledge or three-dimensional structural information. DynaMine provides molecular biologists with an important new method that grasps the dynamical characteristics of any protein of interest, as we show here for human p53 and E1A from human adenovirus 5.
Similar articles
-
The DynaMine webserver: predicting protein dynamics from sequence.Nucleic Acids Res. 2014 Jul;42(Web Server issue):W264-70. doi: 10.1093/nar/gku270. Epub 2014 Apr 11. Nucleic Acids Res. 2014. PMID: 24728994 Free PMC article.
-
Prediction of unfolded segments in a protein sequence based on amino acid composition.Bioinformatics. 2005 May 1;21(9):1891-900. doi: 10.1093/bioinformatics/bti266. Epub 2005 Jan 18. Bioinformatics. 2005. PMID: 15657106
-
Using Bayesian multinomial classifier to predict whether a given protein sequence is intrinsically disordered.J Theor Biol. 2008 Oct 21;254(4):799-803. doi: 10.1016/j.jtbi.2008.05.040. Epub 2008 Jun 14. J Theor Biol. 2008. PMID: 18611404
-
State-of-the-art bioinformatics protein structure prediction tools (Review).Int J Mol Med. 2011 Sep;28(3):295-310. doi: 10.3892/ijmm.2011.705. Epub 2011 May 23. Int J Mol Med. 2011. PMID: 21617841 Review.
-
[A turning point in the knowledge of the structure-function-activity relations of elastin].J Soc Biol. 2001;195(2):181-93. J Soc Biol. 2001. PMID: 11727705 Review. French.
Cited by
-
Data-driven probabilistic definition of the low energy conformational states of protein residues.NAR Genom Bioinform. 2024 Jul 9;6(3):lqae082. doi: 10.1093/nargab/lqae082. eCollection 2024 Sep. NAR Genom Bioinform. 2024. PMID: 38984065 Free PMC article.
-
Order, Disorder, and Everything in Between.Molecules. 2016 Aug 19;21(8):1090. doi: 10.3390/molecules21081090. Molecules. 2016. PMID: 27548131 Free PMC article. Review.
-
bHLH-PAS Proteins: Their Structure and Intrinsic Disorder.Int J Mol Sci. 2019 Jul 26;20(15):3653. doi: 10.3390/ijms20153653. Int J Mol Sci. 2019. PMID: 31357385 Free PMC article. Review.
-
Reducing Hinge Flexibility of CAR-T Cells Prolongs Survival In Vivo With Low Cytokines Release.Front Immunol. 2021 Oct 5;12:724211. doi: 10.3389/fimmu.2021.724211. eCollection 2021. Front Immunol. 2021. PMID: 34675920 Free PMC article.
-
Observation selection bias in contact prediction and its implications for structural bioinformatics.Sci Rep. 2016 Nov 18;6:36679. doi: 10.1038/srep36679. Sci Rep. 2016. PMID: 27857150 Free PMC article.
Publication types
MeSH terms
Substances
LinkOut - more resources
Full Text Sources
Other Literature Sources
Research Materials
Miscellaneous