dc.contributor.author |
Zawaira, A
|
|
dc.contributor.author |
Shibayama, Y
|
|
dc.date.accessioned |
2014-04-29T06:54:10Z |
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dc.date.available |
2014-04-29T06:54:10Z |
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dc.date.issued |
2012-12 |
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dc.identifier.citation |
Zawaira, A and Shibayama, Y. 2012. A simple recipe for the non-expert bioinformaticist for building experimentally-testable hypotheses for proteins with no known homologs. J Struct Funct Genomics, vol. 13(4), pp 185-200 |
en_US |
dc.identifier.issn |
1345-711X |
|
dc.identifier.uri |
http://download.springer.com/static/pdf/52/art%253A10.1007%252Fs10969-012-9141-7.pdf?auth66=1398588008_54b9d5387699d18617767a2405e199df&ext=.pdf
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|
dc.identifier.uri |
http://hdl.handle.net/10204/7376
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|
dc.description |
Copyright: 2012 Springer Verlag. This an ABSTRACT ONLY. The definitive version is published in J Struct Funct Genomics, vol. 13(4), pp 185-200 |
en_US |
dc.description.abstract |
The study of the protein-protein interactions (PPIs) of unique ORFs is a strategy for deciphering the biological roles of unique ORFs of interest. For uniform reference, we define unique ORFs as those for which no matching protein is found after PDB-BLAST search with default parameters. The uniqueness of the ORFs generally precludes the straightforward use of structure-based approaches in the design of experiments to explore PPIs. Many open-source bioinformatics tools, from the commonly-used to the relatively esoteric, have been built and validated to perform analyses and/or predictions of sorts on proteins. How can these available tools be combined into a protocol that helps the non-expert bioinformaticist researcher to design experiments to explore the PPIs of their unique ORF? Here we define a pragmatic protocol based on accessibility of software to achieve this and we make it concrete by applying it on two proteins-the ImuB and ImuA' proteins from Mycobacterium tuberculosis. The protocol is pragmatic in that decisions are made largely based on the availability of easy-to-use freeware. We define the following basic and user-friendly software pathway to build testable PPI hypotheses for a query protein sequence: PSI-PRED MUSTER metaPPISP ASAView and ConSurf. Where possible, other analytical and/or predictive tools may be included. Our protocol combines the software predictions and analyses with general bioinformatics principles to arrive at consensus, prioritised and testable PPI hypotheses. |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
Springer Verlag |
en_US |
dc.relation.ispartofseries |
Workflow;10585 |
|
dc.subject |
Functional genomics |
en_US |
dc.subject |
Sequence similarity |
en_US |
dc.subject |
Sequence identity |
en_US |
dc.subject |
Homology |
en_US |
dc.subject |
Fold recognition |
en_US |
dc.subject |
Protein interface |
en_US |
dc.title |
A simple recipe for the non-expert bioinformaticist for building experimentally-testable hypotheses for proteins with no known homologs |
en_US |
dc.type |
Article |
en_US |
dc.identifier.apacitation |
Zawaira, A., & Shibayama, Y. (2012). A simple recipe for the non-expert bioinformaticist for building experimentally-testable hypotheses for proteins with no known homologs. http://hdl.handle.net/10204/7376 |
en_ZA |
dc.identifier.chicagocitation |
Zawaira, A, and Y Shibayama "A simple recipe for the non-expert bioinformaticist for building experimentally-testable hypotheses for proteins with no known homologs." (2012) http://hdl.handle.net/10204/7376 |
en_ZA |
dc.identifier.vancouvercitation |
Zawaira A, Shibayama Y. A simple recipe for the non-expert bioinformaticist for building experimentally-testable hypotheses for proteins with no known homologs. 2012; http://hdl.handle.net/10204/7376. |
en_ZA |
dc.identifier.ris |
TY - Article
AU - Zawaira, A
AU - Shibayama, Y
AB - The study of the protein-protein interactions (PPIs) of unique ORFs is a strategy for deciphering the biological roles of unique ORFs of interest. For uniform reference, we define unique ORFs as those for which no matching protein is found after PDB-BLAST search with default parameters. The uniqueness of the ORFs generally precludes the straightforward use of structure-based approaches in the design of experiments to explore PPIs. Many open-source bioinformatics tools, from the commonly-used to the relatively esoteric, have been built and validated to perform analyses and/or predictions of sorts on proteins. How can these available tools be combined into a protocol that helps the non-expert bioinformaticist researcher to design experiments to explore the PPIs of their unique ORF? Here we define a pragmatic protocol based on accessibility of software to achieve this and we make it concrete by applying it on two proteins-the ImuB and ImuA' proteins from Mycobacterium tuberculosis. The protocol is pragmatic in that decisions are made largely based on the availability of easy-to-use freeware. We define the following basic and user-friendly software pathway to build testable PPI hypotheses for a query protein sequence: PSI-PRED MUSTER metaPPISP ASAView and ConSurf. Where possible, other analytical and/or predictive tools may be included. Our protocol combines the software predictions and analyses with general bioinformatics principles to arrive at consensus, prioritised and testable PPI hypotheses.
DA - 2012-12
DB - ResearchSpace
DP - CSIR
KW - Functional genomics
KW - Sequence similarity
KW - Sequence identity
KW - Homology
KW - Fold recognition
KW - Protein interface
LK - https://researchspace.csir.co.za
PY - 2012
SM - 1345-711X
T1 - A simple recipe for the non-expert bioinformaticist for building experimentally-testable hypotheses for proteins with no known homologs
TI - A simple recipe for the non-expert bioinformaticist for building experimentally-testable hypotheses for proteins with no known homologs
UR - http://hdl.handle.net/10204/7376
ER -
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en_ZA |