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Citations per year

Number of citations per year for the bioinformatics software tool VirulentPred
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Tool usage distribution map

This map represents all the scientific publications referring to VirulentPred per scientific context
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Protocols

VirulentPred specifications

Information


Unique identifier OMICS_17866
Name VirulentPred
Interface Web user interface
Restrictions to use None
Input data A protein sequence.
Input format FASTA format
Programming languages Perl, Other
Computer skills Basic
Maintained Yes

Maintainer


  • person_outline Aarti Garg

Publication for VirulentPred

VirulentPred citations

 (19)
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Small Myristoylated Protein 3, Identified as a Potential Virulence Factor in Leishmania amazonensis, Proves to be a Protective Antigen against Visceral Leishmaniasis

2018
Int J Mol Sci
PMCID: 5796078
PMID: 29301342
DOI: 10.3390/ijms19010129
call_split See protocol

[…] Screening to identify Leishmania virulence factors among the evaluated proteins was performed by VICMpred [] and Virulentpred [] servers. Both programs are support vector machine-based methods used to predict virulence targets, showing an accuracy of 70.8% and 81.8%, respectively. The methods use a 5-fold cross- […]

library_books

Global proteomic profiling of Yersinia ruckeri strains

2017
PMCID: 5607619
PMID: 28931430
DOI: 10.1186/s13567-017-0460-3

[…] tions of proteins []. Subcellular localization of proteins was predicted by PSORTb version 3.0 []. Virulence proteins were predicted by a method based on bi-layer cascade Support Vector Machine using VirulentPred []. […]

library_books

Comparative Analysis of Membrane Vesicles from Three Piscirickettsia salmonis Isolates Reveals Differences in Vesicle Characteristics

2016
PLoS One
PMCID: 5072724
PMID: 27764198
DOI: 10.1371/journal.pone.0165099

[…] lthough isolated from three geographically disperse strains of P. salmonis. To evaluate the potential virulence of the P. salmonis derived MVs, the vesicles were subjected to in silico analysis using VirulentPred, to predict putative virulence factors []. Based on the VirulentPred analysis, almost 50% of the MV proteins were predicted to be associated with virulence in all three strains (results n […]

library_books

Sequence Analysis of Hypothetical Proteins from Helicobacter pylori 26695 to Identify Potential Virulence Factors

2016
PMCID: 5056897
PMID: 27729842
DOI: 10.5808/GI.2016.14.3.125

[…] bout virulent proteins that play an effective role in the propagation of disease. We preferable selected consensus-based approach for the purpose of taking the results of both predictors VICMpred and VirulentPred as positive. Thus, we found 22 HPs predicted virulent by both these programs (). While looking for the virulent proteins in the array of 104 predicted HPs, we found 11 HPs showing positiv […]

library_books

Pangenome and immuno proteomics analysis of Acinetobacter baumannii strains revealed the core peptide vaccine targets

2016
BMC Genomics
PMCID: 5025611
PMID: 27634541
DOI: 10.1186/s12864-016-2951-4

[…] iding the peptides into non-binders, low affinity binders (>500nM), medium affinity binders (50–500nM) and high affinity binders (<50nM) []. Virulence of the candidate epitopes was estimated by using VirulentPred []. […]

library_books

(Meta)genomic insights into the pathogenome of Cellulosimicrobium cellulans

2016
Sci Rep
PMCID: 4858710
PMID: 27151933
DOI: 10.1038/srep25527

[…] rary of hidden Markov models (HMMs) using HMMER for family level prediction. Further, the virulent content of the PAIs was determined using multiple databases such as Virulent Factor Database (VFDB), VirulentPred, and MP3. MP3 was used at a threshold value of 0.2 and minimum protein length of 30.The hypothetical proteins which were abundant on PAIs were then checked for their origin using the ACLA […]


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VirulentPred institution(s)
Structural and Computational Biology Group, International Centre for Genetic Engineering and Biotechnology (ICGEB), Aruna Asaf Ali Marg, New Delhi, India
VirulentPred funding source(s)
This work was supported by the World Health Organization, Tropical Disease Research (WHO/TDR).

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