KYG statistics

To access cutting-edge analytics on consensus tools, life science contexts and associated fields, you will need to subscribe to our premium service.


Citations per year

Citations chart

Popular tool citations

chevron_left Protein-RNA interactions chevron_right
Popular tools chart

Tool usage distribution map

Tool usage distribution map

Associated diseases

Associated diseases

KYG specifications


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

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 (, 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 ( 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 (, rnabindr (, and kyg ( –. 7) conserved residues were mapped onto the structure using consurf . 8) for phylogenetic analysis the structure based multiple sequence […]

To access a full list of publications, you will need to upgrade to our premium service.

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

KYG reviews

star_border star_border star_border star_border star_border
star star star star star

Be the first to review KYG