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CC BY V4.0, Open Access
Journal article
ApicoAP: The first computational model for predicting apicoplast-targeted proteins for multiple species of Apicomplexa
PloS one., Vol.7(5), p.e36598
05/2012
Handle:
https://hdl.handle.net/2376/5998
Abstract
Most of the parasites of the phylum Apicomplexa contain a relict prokaryotic-derived plastid called the apicoplast. This organelle is important not only for the survival of the parasite, but its unique properties make it an ideal drug target. The majority of apicoplast-associated proteins are nuclear encoded and targeted post-translationally to the organellar lumen via a bipartite signaling mechanism that requires an N-terminal signal and transit peptide (TP). Attempts to define a consensus motif that universally identifies apicoplast TPs have failed. We present a parametric model for ApicoTPs and a procedure to optimize the model parameters for a given training set. A major asset of this model is that it is customizable to different parasite genomes. The ApicoAP prediction software is available at http://code.google.com/p/apicoap/ and http://bcb.eecs.wsu.edu.
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Details
- Title
- ApicoAP: The first computational model for predicting apicoplast-targeted proteins for multiple species of Apicomplexa
- Creators
- Gokcen Cilingir (Author)Shira L Broschat (Author)Audrey O T Lau (Author)
- Publication Details
- PloS one., Vol.7(5), p.e36598
- Academic Unit
- Electrical Engineering and Computer Science, School of
- Identifiers
- 99900502747201842
- Copyright
- Creative Commons Attribution 4.0 International ; https://creativecommons.org/licenses/by/4.0/
- Language
- English
- Resource Type
- Journal article