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Associated diseases

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KYG specifications

Information


Unique identifier OMICS_03030
Name KYG
Interface Web user interface
Restrictions to use None
Computer skills Basic
Stability Stable
Maintained Yes

Publication for KYG

KYG in publications

 (4)
PMCID: 4683125
PMID: 26681179
DOI: 10.1371/journal.pcbi.1004639

[…] programs. finally, different criteria are measured to show different aspects of the programs. the webservers assessed include bindn[], bindn+[], rnabindr[], rnabindrplus[], dbs-pred[], dbs-pssm[], kyg[], prbr[], pprint[], dnabindprot[], protedna[], displar[], dr_bind1[], aarna[], rbscore[], rbrdetector[], dnabind[], xypan[] and rnaprosite (lilab.ecust.edu.cn/nabind/), while the programs […]

PMCID: 4661811
PMID: 26540053
DOI: 10.3390/ijms161125952

[…] protein is available and employed in the prediction system, the prediction became more reliable. there are a number of structure-based rna-binding site prediction methods. kim et al. [] developed kyg method, which uses sequence profiles, doublets of spatially close residues, a number of binding scores, and combinations. chen and lim [] developed a predictor based on structure information […]

PMCID: 4041889
PMID: 24886718
DOI: 10.1371/journal.pone.0098460

[…] if yielding a value >30% ., the amino acid sequences of the n-terminal domains of pfsera1-9 (3d7) were aligned with multiple sequence alignment tool version 1.1 (http://cib.cf.ocha.ac.jp/kyg/onlyalign.html) after deletion of n-terminal signal sequences predicted by signalp 3.0 . since pfsera8 has no corresponding region, amino acid sequence identity and similarity of relatively […]

PMCID: 2596488
PMID: 19079550
DOI: 10.1371/journal.pone.0003903

[…] 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 […]


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KYG institution(s)
Quantum Bioinformatics Team, Center for Computational Science and Engineering, Japan Atomic Energy Agency, Kizu-cho, Souraku-gun, Kyoto, Japan

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