Prediction of intrinsic disorder and its use in functional proteomics.
By Vladimir N Uversky, Predrag Radivojac, Lilia M. Iakoucheva, Zoran Obradovic, A. Keith Dunker. 2007
42 citations recorded by the source corpus.
Subfields: Materials Chemistry, Molecular Biology
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Materials Chemistry
- Michael Heinzinger
- Christian Dallago
- Ahmed Elnaggar
- Yu Wang
- Florian Matthes
- Dmitrii Nechaev
- Burkhard Rost
- Avner Schlessinger
In Molecular Biology
- Michael Heinzinger
- Christian Dallago
- Ahmed Elnaggar
- Yu Wang
- Florian Matthes
- Dmitrii Nachaev
- Dmitrii Nechaev
- Burkhard Rost
Citations in the corpus
- Modeling aspects of the language of life through transfer-learning protein sequences (2019, background): “Secondly, evolutionary information is still missing for some proteins, e.g. for proteins with substantial intrinsically disordered regions [15, 37, 38], or the entire Dark Proteome [39] full of proteins that are less-well studied but important for function [40].”
- Modeling the language of life – Deep Learning Protein Sequences (2019, background): “for proteins with 41 substantial intrinsically disordered regions [15, 37, 38], or the entire Dark Proteome [39] full of 42 proteins that are less-well studied but important for function [40].”