ArticleNucleic acids research2013
PlantLoc: an accurate web server for predicting plant protein subcellular localization by substantiality motif.
Article in Nucleic acids research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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6 citing papers in PubMed, 21 citations in OpenAlex.
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- Soybean transcription factor ORFeome associated with drought resistance: a valuable resource to accelerate research on abiotic stress resistance.BMC genomics · 2015Article
- Deciphering Mineral Homeostasis in Barley Seed Transfer Cells at Transcriptional Level.PloS one · 2015Article
- HelitronScanner uncovers a large overlooked cache of Helitron transposons in many plant genomes.Proceedings of the National Academy of Sciences of the United States of America · 2014Article
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Authors and funding
6 authors at 2 institutions in 2 countries.
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Abstract
Knowledge of subcellular localizations (SCLs) of plant proteins relates to their functions and aids in understanding the regulation of biological processes at the cellular level. We present PlantLoc, a highly accurate and fast webserver for predicting the multi-label SCLs of plant proteins. The PlantLoc server has two innovative characters: building localization motif libraries by a recursive method without alignment and Gene Ontology information; and establishing simple architecture for rapidly and accurately identifying plant protein SCLs without a machine learning algorithm. PlantLoc provides predicted SCLs results, confidence estimates and which is the substantiality motif and where it is located on the sequence. PlantLoc achieved the highest accuracy (overall accuracy of 80.8%) of identification of plant protein SCLs as benchmarked by using a new test dataset compared other plant SCL prediction webservers. The ability of PlantLoc to predict multiple sites was also significantly higher than for any other webserver. The predicted substantiality motifs of queries also have great potential for analysis of relationships with protein functional regions. The PlantLoc server is available at http://cal.tongji.edu.cn/PlantLoc/.
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