2023
DOI: 10.1016/j.csbj.2023.02.018
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Computational prediction of disordered binding regions

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Cited by 13 publications
(14 citation statements)
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“…In recent years, the disorder prediction field has moved towards prediction of functional types of IDRs [91] , [92] , [93] , [94] . The main focus is on the regions that interact with ligands that include peptides, proteins, DNA, RNA and lipids [91] , [92] , [95] , however, some tools also predict disordered linkers [96] , [97] . There are over three dozen of predictors of binding IDRs, with majority of them targeting protein and peptide binding IDRs [91] .…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…In recent years, the disorder prediction field has moved towards prediction of functional types of IDRs [91] , [92] , [93] , [94] . The main focus is on the regions that interact with ligands that include peptides, proteins, DNA, RNA and lipids [91] , [92] , [95] , however, some tools also predict disordered linkers [96] , [97] . There are over three dozen of predictors of binding IDRs, with majority of them targeting protein and peptide binding IDRs [91] .…”
Section: Discussionmentioning
confidence: 99%
“…The main focus is on the regions that interact with ligands that include peptides, proteins, DNA, RNA and lipids [91] , [92] , [95] , however, some tools also predict disordered linkers [96] , [97] . There are over three dozen of predictors of binding IDRs, with majority of them targeting protein and peptide binding IDRs [91] . Example popular methods include ANCHOR [81] , [98] , [99] , MoRFpred [100 ] , MoRF chibi [101] , [102] , and DISOPRED3 [67] that predict protein and peptide binding IDRs; DisoRDPbind that predicts DNA, RNA and protein-binding IDRs; and SLiMFinder [103 ] and SLiMSearch [104] , [105] , [106] that predict short linear sequence motifs (SLiMs) that are often involved in the protein-protein and protein-nucleic acids interactions.…”
Section: Discussionmentioning
confidence: 99%
“…Short sequence regions. Significant efforts have been devoted to exploring short sequence regions that facilitate specific interactions between disordered regions and various biomolecules [ 116 ]. Two major categories of these regions are molecular recognition fragments (MoRFs) and short linear motifs (SLiMs).…”
Section: Theoretical and Computational Biophysical Techniquesmentioning
confidence: 99%
“…MoRF can undergo a disorder-to-order transition upon binding to their partner and can be predicted using various methods with sequence lengths ranging from 5 to 25 amino acids [ 117 , 118 , 119 , 120 , 121 ]. On the other hand, SLiMs are short sequence patches each containing 3 to 15 amino acids that are often found within the disordered regions of diverse proteins and can be highly conserved [ 116 , 122 , 123 , 124 , 125 ]. Such sequence conservation, e.g., within low-complexity disordered regions, suggests potential coevolution with binding partners for specific functions.…”
Section: Theoretical and Computational Biophysical Techniquesmentioning
confidence: 99%
“…A multitude of available online‐based tools is available to identify intrinsic disorder in proteins and new, improved tools are published on a regular basis. Available tools were discussed and summarized previously (Basu et al, 2023; Han et al, 2023; Liu et al, 2017).…”
Section: Properties Of Intrinsic Disordermentioning
confidence: 99%