Tool stats & trends
Looking to identify usage trends or leading experts?
|Interface||Web user interface|
|Restrictions to use||None|
Publication for KYG
Non Coding RNAs in Lung Cancer: Contribution of Bioinformatics Analysis to the Development of Non Invasive Diagnostic Tools
[…] chine learning classifiers [,,], whereas Pprint predicts RNA binding sites using evolutionary position-specific scoring matrix (PSSM) information combined with a support vector machine (SVM) [,]. The KYG algorithm focuses on the structure and calculates binding regions by applying a position-specific multiple sequence profile on protein-RNA structures from PDB, also without biochemical or function […]
A Large Scale Assessment of Nucleic Acids Binding Site Prediction Programs
[…] ameter. aaRNA was used by inputting the structure file with default parameters. RNABindR and RNABindRPlus were predicted with default parameters, while removing 95% sequence identity in RNABindRPlus. KYG was predicted with command line using “method_type = 8” option. RBscore_SVM was based on the training set of R246. DBS-PSSM, DBS-Pred, RBRIdent, PPRInt, PRBR, DNABind, RBRDetector and ProteDNA wer […]
UPF201 Archaeal Specific Family Members Reveal Structural Similarity to RNA Binding Proteins but Low Likelihood for RNA Binding Function
[…] cess.html) was used, though none was identified . 6) Putative RNA binding residues were identified using BindN (http://bioinfo.ggc.org/bindn/), RNAbindR (http://bindr.gdcb.iastate.edu/RNABindR/), and KYG (http://yayoi.kansai.jaea.go.jp/qbg/kyg/index.php) –. 7) Conserved residues were mapped onto the structure using ConSurf . 8) For phylogenetic analysis the structure based multiple sequence alignm […]
Looking to check out a full list of citations?
Be the first to review KYG