Intrinsic protein disorder in complete genomes.

By Dunker Ak, Z. Obradovic, Pedro Romero, Ethan C. Garner, C. Brown. Genome informatics. Workshop on Genome Informatics, 2000

678 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/7bd4360c37268bd0088471b81bfd6a68e2516139

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Citations in the corpus

Comprehensive large-scale assessment of intrinsic protein disorder (2015, background): “Flexible segments lacking a unique native structure, known as intrinsic disordered regions (Tompa, 2002), are widespread in nature, especially in eukaryotic organisms (Dunker et al ., 2000).”
Intrinsically Disordered Proteins and Their “Mysterious” (Meta)Physics (2019, background): “Analysis of proteins encoded by 31 genomes from 3 kingdoms of life showed that eukaryotes typically have a higher disorder score than either archaea or prokaryotes, since 52–67% of eukaryotic proteins have long IDPRs as compared to 26–51 and 16–45% proteins with such long IDPRs in archaea and bacter”
Prediction and functional analysis of native disorder in proteins from the three kingdoms of life. (2004, background): “Previous genome-wide analyses of disordered regions have been based on classifiers with high false positive rates (16% for disordered segments longer than 40 residues).(10,11) Although the results presented here cannot be interpreted as a lower bound on the proportion of proteins that contain disord”
Intrinsically unstructured proteins and their functions (2005, background): “Compositionally biased linker sequences of significant length are found mainly in eukaryotic protein”
Flexible nets (2005, methodology): “These attributes were used to train artiﬁcial neural networks using standard back propagation methods to develop a series of ‘predictors of naturally disordered regions’ (PONDR (cid:1) s) [52,55,56,59,60].”
PONDR-FIT: A Meta-Predictor of Intrinsically Disordered Amino Acids (2010, methodology): “Disorder prediction will remain useful for proteomics studies, either when used in combination with experiments [11–12] or when used as stand-alone values over entire genomes [25,79].”
Bioinformatical approaches to characterize intrinsically disordered/unstructured proteins (2010, unknown): “least one long disordered segment [7, 8].”
Analysis of molecular recognition features (MoRFs). (2006, background): “( 3 ) Sequence-based predictions indicate that many MoRF sequences are likely to be disordered in isolation.”
Genome‐scale prediction of proteins with long intrinsically disordered regions (2014, methodology): “, 8) and the degree of polynomial d 5 (1, 2) for the SVM with the polynomial kernel; complexity constant C 5 2 and g 5 2 of the RBF function for the SVM with the FBF kernel, and the ridge parameter r 5 10, where z 5 (211, 29, .”