Predicting subcellular localization of proteins based on their N-terminal amino acid sequence.

Explore this paper's citation graph

Summary

A neural network-based tool, TargetP, for large-scale subcellular location prediction of newly identified proteins has been developed and it is estimated that 10% of all plant proteins are mitochondrial and 14% chloroplastic, and that the abundance of secretory proteins, in both Arabidopsis and Homo, is around 10%.

Type
article
Published
2000-07-21
Cited by
4,386
References
55

Keywords

Chloroplast, Signal peptide, Arabidopsis, Biology, Arabidopsis thaliana

References

Cited by

Related papers