Better prediction of sub‐cellular localization by combining evolutionary and structural information
By Rajesh Nair, Burkhard Rost. 2003
89 citations recorded by the source corpus.
Subfields: 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 Molecular Biology
- Burkhard Rost
- Johannes Söding
- Michael Remmert
- Andreas Biegert
- Michael Heinzinger
- Andrei N. Lupas
- Yang Zhang
- Jinbo Xu
Citations in the corpus
- Modeling aspects of the language of life through transfer-learning protein sequences (2019, background): “…aspects of protein function improved by combining evolutionary information and machine learning, including predictions of subcellular localization (aka cellular compartment or CC in GO [21, 22]), protein interaction sites [23 – 25], and the effects of sequence variation upon function [26, 27].”
- Prediction of protein subcellular localization (2006, background): “MEMBRANE, POSSIBLE, PROBABLE, SPECIFIC PERIODS, or BY SIMILARITY.(11) The resultant data set (re-”
- The PredictProtein server (2003, methodology): “LOCnet is currently not run by default.”
- Mimicking cellular sorting improves prediction of subcellular localization. (2005, methodology): “that incorporating structural and evolutionary information significantly improves prediction accuracy.(54) With the availability of many completely sequenced genomes, phylogenetic profiles have been employed to identify subcellular localization.”
- Improving protein secondary structure prediction based on short subsequences with local structure similarity (2010, background): “Many researchers employ PSS as a feature to predict the tertiary structure [1-4], function [5-8], or subcellular localization [9-11] of proteins.”
- HHsenser: exhaustive transitive profile search using HMM–HMM comparison (2006, background): “Examples are the prediction of secondary structure (1), solvent accessebility (2), disorder (3), transmembrane helices (4), intraprotein contacts (5), protein–protein interactions (6), subcellular localization (7), internal repeats (8), deleterious mutations (9) and conserved or subtype-specific fun”