PKMiner statistics

Tool stats & trends

Looking to identify usage trends or leading experts?

Protocols

PKMiner specifications

Information


Unique identifier OMICS_09242
Name PKMiner
Restrictions to use None
Maintained Yes

Maintainer


  • person_outline Gwan-Su Yi

Publication for PKMiner

PKMiner citations

 (3)
library_books

In silico methods for linking genes and secondary metabolites: The way forward

2016
PMCID: 5640692
PMID: 29062931
DOI: 10.1016/j.synbio.2016.03.001

[…] ch, for deriving prediction rules based on experimentally characterized PKS and NRPS gene clusters. The tools like NRPS-PKS, SBSPKS, ASMPKS/MAPSI, ClustScan, NP.Searcher, NRPSpredictor, PKS/NRPS and PKMiner permit semi-automatic identification and annotation of PKS, NRPS or PKS-NRPS hybrid gene clusters. In addition to annotating the domains of multi-domain PKS and NRPS, most of these tools also […]

call_split

Actinomycetes from the South China Sea sponges: isolation, diversity, and potential for aromatic polyketides discovery

2015
Front Microbiol
PMCID: 4589764
PMID: 26483773
DOI: 10.3389/fmicb.2015.01048
call_split See protocol

[…] es were translated to amino acid sequences using the web tool ORF Finder in NCBI (http://www.ncbi.nlm.nih.gov/projects/gorf/). The deduced amino acid sequences were compared with the KSα sequences in PKMiner database (http://www.webcitation.org/6C9a5WoFY) using the type II PKS domain classifiers (Kim and Yi, ). The top matches were derived from the KSα sequences associated with 42 experimentally c […]

library_books

Expanding our Understanding of Sequence Function Relationships of Type II Polyketide Biosynthetic Gene Clusters: Bioinformatics Guided Identification of Frankiamicin A from Frankia sp. EAN1pec

2015
PLoS One
PMCID: 4383371
PMID: 25837682
DOI: 10.1371/journal.pone.0121505

[…] available software packages are also unable to identify bacterial type II polyketide gene clusters, and none are able to predict which structural subclass a type II polyketide gene cluster produces. PKMiner, a database of 40 unstudied type II polyketide gene clusters from sequenced bacterial genomes, which includes structural subclass predictions, was recently reported []. However, the PKMiner da […]

Citations

Looking to check out a full list of citations?

PKMiner institution(s)
Department of Information and Communications Engineering, KAIST, Daejeon, Korea; Department of Bio and Brain Engineering, KAIST, Daejeon, Korea

PKMiner reviews

star_border star_border star_border star_border star_border
star star star star star

Be the first to review PKMiner