November 1, 1996Protein Science232 citationsOpen Access
Cleavage site analysis in picornaviral polyproteins: Discovering cellular targets by neural networks
Key Result
A neural network approach successfully distinguished known picornaviral cleavage sites from noncleavage sites and predicted novel mammalian cellular targets for viral proteinases.
Structured PICO
P
Population
Picornaviral proteinases (2Apro and 3Cpro) and their cleavage sites
I
Intervention
Neural network algorithms combined with a surface exposure prediction algorithm
O
Outcome
Prediction of cleavage sites in cellular proteins
A neural network-based method successfully predicts cleavage sites by picornaviral proteinases, providing a tool for discovering cellular targets.
Limitations
- Whether these proteins are indeed cleaved awaits experimental verification.
Abstract
Picornaviral proteinases are responsible for maturation cleavages of the viral polyprotein, but also catalyze the degradation of cellular targets. Using graphical visualization techniques and neural network algorithms, we have investigated the sequence specificity of the two proteinases 2Apro and 3Cpro. The cleavage of VP0 (giving rise to VP2 and VP4), which is carried out by a so-far unknown proteinase, was also examined. In combination with a novel surface exposure prediction algorithm, our neural network approach successfully distinguishes known cleavage sites from noncleavage sites and yields a more consistent definition of features common to these sites. The method is able to predict experimentally determined cleavage sites in cellular proteins. We present a list of mammalian and other proteins that are predicted to be possible targets for the viral proteinases. Whether these proteins are indeed cleaved awaits experimental verification. Additionally, we report several errors detected in the protein databases. A computer server for prediction of cleavage sites by picornaviral proteinases is publicly available at the e-mail address NetPicoRNA@cbs.dtu.dk or via WWW at http:@www.cbs.dtu.dk/services/NetPicoRNA/.
Cite This Study
Blom et al. (Fri,) conducted a other in Picornaviral polyprotein cleavage. Neural network algorithm and surface exposure prediction was evaluated on Sequence specificity and cleavage site prediction. A neural network approach successfully distinguished known picornaviral cleavage sites from noncleavage sites and predicted novel mammalian cellular targets for viral proteinases.