Cargando…
PSI: A Comprehensive and Integrative Approach for Accurate Plant Subcellular Localization Prediction
Predicting the subcellular localization of proteins conquers the major drawbacks of high-throughput localization experiments that are costly and time-consuming. However, current subcellular localization predictors are limited in scope and accuracy. In particular, most predictors perform well on cert...
Autores principales: | Liu, Lili, Zhang, Zijun, Mei, Qian, Chen, Ming |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2013
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3806775/ https://www.ncbi.nlm.nih.gov/pubmed/24194827 http://dx.doi.org/10.1371/journal.pone.0075826 |
Ejemplares similares
-
PlantLoc: an accurate web server for predicting plant protein subcellular localization by substantiality motif
por: Tang, Shengnan, et al.
Publicado: (2013) -
Predicting human protein subcellular localization by heterogeneous and comprehensive approaches
por: Tung, Chi-Hua, et al.
Publicado: (2017) -
TACOS: a novel approach for accurate prediction of cell-specific long noncoding RNAs subcellular localization
por: Jeon, Young-Jun, et al.
Publicado: (2022) -
LOCALIZER: subcellular localization prediction of both plant and effector proteins in the plant cell
por: Sperschneider, Jana, et al.
Publicado: (2017) -
Puromycin reactivity does not accurately localize translation at the subcellular level
por: Enam, Syed Usman, et al.
Publicado: (2020)