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Support vector machine (SVM) based multiclass prediction with basic statistical analysis of plasminogen activators

Muthukrishnan, Selvaraj, Puri, Munish and Lefevre, Christophe 2014, Support vector machine (SVM) based multiclass prediction with basic statistical analysis of plasminogen activators, BMC Research Notes, vol. 7, pp. 1-10, doi: 10.1186/1756-0500-7-63.

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Title Support vector machine (SVM) based multiclass prediction with basic statistical analysis of plasminogen activators
Author(s) Muthukrishnan, Selvaraj
Puri, MunishORCID iD for Puri, Munish orcid.org/0000-0003-2469-3326
Lefevre, Christophe
Journal name BMC Research Notes
Volume number 7
Article ID 63
Start page 1
End page 10
Total pages 10
Publisher BioMed Central
Place of publication London, United Kingdom
Publication date 2014-01-27
ISSN 1756-0500
Keyword(s) Comparative analysis
Pg-activators
SAK
SK
Staphylokinase
Streptokinase
Support vector machine
SVM
Tissue plasminogen activators
tPA
UK
Urokinase
Amino Acid Sequence
Amino Acids
Animals
Databases, Protein
Dipeptides
Eukaryotic Cells
Humans
Internet
Models, Chemical
Plasminogen Activators
Prokaryotic Cells
ROC Curve
Reproducibility of Results
Sequence Analysis, Protein
Support Vector Machines
Summary Plasminogen (Pg), the precursor of the proteolytic and fibrinolytic enzyme of blood, is converted to the active enzyme plasmin (Pm) by different plasminogen activators (tissue plasminogen activators and urokinase), including the bacterial activators streptokinase and staphylokinase, which activate Pg to Pm and thus are used clinically for thrombolysis. The identification of Pg-activators is therefore an important step in understanding their functional mechanism and derives new therapies.
Language eng
DOI 10.1186/1756-0500-7-63
Field of Research 060102 Bioinformatics
Socio Economic Objective 970106 Expanding Knowledge in the Biological Sciences
HERDC Research category C1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Copyright notice ©2014, The Authors
Free to Read? Yes
Use Rights Creative Commons Attribution licence
Persistent URL http://hdl.handle.net/10536/DRO/DU:30071606

Document type: Journal Article
Collections: School of Medicine
Open Access Collection
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Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.