Predicting intrinsic disorder from amino acid sequence

By Zoran Obradovic, Kang Peng, Slobodan Vucetic, Predrag Radivojac, C. Brown, A. Keith Dunker. Proteins: Structure, Function, and Bioinformatics, 2003

429 citations recorded by the source corpus.

Subfields: Molecular Biology

View Paper: https://www.semanticscholar.org/paper/fabaf863becc907b429396a5e1b9526a5da2d6bc

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Molecular Biology

1. Vladimir N Uversky
2. Lukasz Kurgan
3. A. Keith Dunker
4. Burkhard Rost
5. Avner Schlessinger
6. Zhenling Peng
7. Fanchi Meng
8. Christopher J. Oldfield

Citations in the corpus

• Intrinsically Disordered Proteins and Their “Mysterious” (Meta)Physics (2019, background): “Furthermore, only a small fraction of proteins whose crystal structures are known and recorded in the Protein Data Bank (PDB) do not possess any disorder [33, 34].”
• Comprehensive review of methods for prediction of intrinsic disorder and its molecular functions (2017, methodology): “PONDR-VL3 2005 [50, 51] WS No Yes http://www.”
• Intrinsic disorder and functional proteomics. (2007, background): “Slightly ,(1)/3 of the crystal structures in the Protein Data Bank (PDB) are completely devoid of disorder (15).”
• DisProt: a database of protein disorder (2005, background): “For example, about two-thirds of the structured chains in the PDB contain localized regions of missing electron density (Obradovic et al., 2003); these regions vary in length from single residues to long segments containing more than 100 consecutive residues.”
• Showing your ID: intrinsic disorder as an ID for recognition, regulation and cell signaling (2005, background): “(PDB) are completely devoid of disorder [as manifested by the absence of regions with the missing electron density (Obradovic et al., 2003)], so the completely ordered protein”
• Improved Disorder Prediction by Combination of Orthogonal Approaches (2009, methodology): “We use the term ‘‘flavors’’ to refer to different types of disorder [9,18] simply to indicate that we neither suggest a rigorous Aristotelian classification scheme, nor want to introduce any meaningful word for what appears a mesh of disorder.”
• Prediction of intrinsic disorder and its use in functional proteomics. (2007, background): “This two-layer feedforward neural network, which achieved a surprising accuracy of about 70% clearly marked the beginning of a new epoch by showing that (1) there are significant compositional differences between ordered and ID protein regions, (2) the lack of fixed protein 3D structure is predictab”