Introducing protein intrinsic disorder.
By J. Habchi, Peter Tompa, Sonia Longhi, Vladimir N Uversky. Chemical Reviews, 2014
702 citations recorded by the source corpus.
Subfields: Cell Biology, Molecular Biology
View Paper: https://www.semanticscholar.org/paper/75276c5e2a5402a49cbfda295defb19d0dcd645d
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cell Biology
- Zsuzsanna Dosztányi
- Lukasz Kurgan
- Michele Vendruscolo
- Ian Walsh
- Piero Fariselli
- Silvio C. E. Tosatto
- Richard A. Young
- Pietro Sormanni
In Molecular Biology
- Lukasz Kurgan
- Vladimir N Uversky
- Zsuzsanna Dosztányi
- Fanchi Meng
- Liam J. McGuffin
- Zhenling Peng
- Yang Zhang
- Jianyi Yang
Citations in the corpus
- MobiDB 2.0: an improved database of intrinsically disordered and mobile proteins (2014, background): “This paradigm has been challenged by the collection of hundreds of proteins where function is determined by non-folding regions which play vital biological roles (1,2).”
- Comprehensive review of methods for prediction of intrinsic disorder and its molecular functions (2017, background): “nates of their residues and their dihedral angles vary largely over time, without a specific equilibrium [1, 2].”
- The s2D method: simultaneous sequence-based prediction of the statistical populations of ordered and disordered regions in proteins. (2015, background): “Detailed experimental characterization of structure and disorder in proteins remains a difficult and costly task, which is associated with the risk of obtaining inconclusive results especially when not employing a broad range of different techniques [7–12,14].”
- Transcription factors activate genes through the phase separation capacity of their activation domains (2018, background): “Many of these features have been described for IDRs that are capable of forming phase-separated condensates (Babu, 2016; Darling et al., 2018; Das et al., 2015; Dunker et al., 2015; Habchi et al., 2014; van der Lee et al., 2014; Oldfield and Dunker, 2014; Uversky, 2017; Wright and Dyson, 2015).”
- Protein Structure and Function Prediction Using I-TASSER (2015, background): “The information can often significantly improvethequalityof final structural andfunc-tion predictions.”
- Disorder Prediction Methods, Their Applicability to Different Protein Targets and Their Usefulness for Guiding Experimental Studies (2015, methodology): “However, it is rarely used as the sole method due to its relatively low resolution [25].”
- MobiDB‐lite: fast and highly specific consensus prediction of intrinsic disorder in proteins (2017, background): “ID in proteins has been studied for the last two decades and has become a fairly mainstream concept in protein science (Habchi et al., 2014).”
- DisProt 7.0: a major update of the database of disordered proteins (2016, unknown): “Therefore, beyond X-ray crystallography and NMR, a plethora of alternative biochemical and bio-physical approaches (termed ‘secondary techniques’) provide orthogonal information on protein disorder in DisProt (4,22).”