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FunSecKB specifications

Information


Unique identifier OMICS_03904
Name FunSecKB
Alternative name Fungal Secretome KnowledgeBase
Restrictions to use None
Version 2.1
Maintained Yes

Maintainer


  • person_outline Xiang Jia Min

Publications for Fungal Secretome KnowledgeBase

FunSecKB citations

 (7)
library_books

Comparative systems analysis of the secretome of the opportunistic pathogen Aspergillus fumigatus and other Aspergillus species

2018
Sci Rep
PMCID: 5919931
PMID: 29700415
DOI: 10.1038/s41598-018-25016-4

[…] cretome and cell membrane proteins of Aspergillus species with an aim to understand their role in pathogenesis and to analyze them as potential druggable proteins. While previous studies such as FSD, FunSecKB2 and SECRETOOL have developed computational pipelines for fungal secretome prediction, they rely solely on bioinformatic predictions even though many experimental high-throughput proteomic da […]

library_books

The Apoplastic Secretome of Trichoderma virens During Interaction With Maize Roots Shows an Inhibition of Plant Defence and Scavenging Oxidative Stress Secreted Proteins

2018
Front Plant Sci
PMCID: 5896443
PMID: 29675028
DOI: 10.3389/fpls.2018.00409

[…] . Moreover, prediction of secretory proteins was based on bioinformatics tools and parameters reported by two different fungal secretome databases: Fungal Secretome Database (FSD) (Choi et al., ) and FunSeckB2 (Meinken et al., ), and one plant secretome database: PlanSeckB (Min et al., ). Additionally, the prediction tool EffectorP was used to identify putative effectors-like proteins from T. vire […]

library_books

Genome sequencing and comparative genomics reveal a repertoire of putative pathogenicity genes in chilli anthracnose fungus Colletotrichum truncatum

2017
PLoS One
PMCID: 5573122
PMID: 28846714
DOI: 10.1371/journal.pone.0183567

[…] tant virulence factors such as effector proteins for manipulation of host cell dynamics and cell wall degrading enzymes. A highly stringent pipeline for secretome prediction in fungi, as described in FunSecKB2 [] (), was implemented to predict a refined secretome in C. truncatum (1,257 proteins) that represented 9.16% of the total proteome. The analysis of known domains in the secretome showed tha […]

library_books

Computational Prediction of Effector Proteins in Fungi: Opportunities and Challenges

2016
Front Plant Sci
PMCID: 4751359
PMID: 26904083
DOI: 10.3389/fpls.2016.00126

[…] particularly in Phytophthora species, these observations raise interesting questions about the evolution, transfer specificity and functionality of RxLR effectors.Another useful database for CSEPs is FunSecKB, which hosts fungal secretomes identified using six different prediction tools (). The improved version of FunSecKB comprises about two million proteins covering over 200 fungal species (). T […]

library_books

Plant Invasions Associated with Change in Root Zone Microbial Community Structure and Diversity

2015
PLoS One
PMCID: 4624766
PMID: 26505627
DOI: 10.1371/journal.pone.0141424

[…] bacterial taxa. To the best of our knowledge, we could not find a program for functional analysis of fungi, analogous to PICRUSt for bacteria. The fungal data resources AFTOL (http://aftol.org/) and FunSecKB [] provide relevant but incomplete data for our purpose.The actual counts from the OTU table were obtained for the bacterial species belonging to the genera that were significant from the ISA […]

library_books

Sex and parasites: genomic and transcriptomic analysis of Microbotryum lychnidis dioicae, the biotrophic and plant castrating anther smut fungus

2015
BMC Genomics
PMCID: 4469406
PMID: 26076695
DOI: 10.1186/s12864-015-1660-8

[…] brane.Where evidence conflicted or was insufficient for determining secretome status, BLASTp and Pfam domains were used to establish probable orthologs, followed by referencing the UniProtKB [, ] and FunSecKB [] database for confirmation of localization of the orthologs, where available. Out of 7,360 predicted proteins, 6,899 proteins were excluded from the pool of the secretome based on the crite […]

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FunSecKB institution(s)
Department of Computer Science and Information Systems, Center for Applied Chemical Biology, Youngstown State University, Youngstown, OH, USA; Department of Biological Sciences, Center for Applied Chemical Biology, Youngstown State University, Youngstown, OH, USA

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