Identification and characterization of plastid-type proteins from sequence-attributed features using machine learning

A proteomic analysis of the chromoplasts isolated from sweet orange fruits [Citrus sinensis (L.) Osbeck]

(2011) Yunliu Zeng et al.   JOURNAL OF EXPERIMENTAL BOTANY

iLoc-Plant: a multi-label classifier for predicting the subcellular localization of plant proteins with both single and multiple sites

(2011) Zhi-Cheng Wu et al.   Molecular BioSystems

A novel feature representation method based on Chou's pseudo amino acid composition for protein structural class prediction

(2010) Sitanshu Sekhar Sahu et al.   COMPUTATIONAL BIOLOGY AND CHEMISTRY

Characteristics of the tomato chromoplast revealed by proteomic analysis

(2010) Cristina Barsan et al.   JOURNAL OF EXPERIMENTAL BOTANY

YLoc—an interpretable web server for predicting subcellular localization

(2010) Sebastian Briesemeister et al.   NUCLEIC ACIDS RESEARCH

Combining Machine Learning and Homology-Based Approaches to Accurately Predict Subcellular Localization in Arabidopsis

(2010) Rakesh Kaundal et al.   PLANT PHYSIOLOGY

SherLoc2: A High-Accuracy Hybrid Method for Predicting Subcellular Localization of Proteins

(2009) Sebastian Briesemeister et al.   JOURNAL OF PROTEOME RESEARCH

Genomic Inventory and Transcriptional Analysis of Medicago truncatula Transporters

(2009) V. A. Benedito et al.   PLANT PHYSIOLOGY

RSLpred: an integrative system for predicting subcellular localization of rice proteins combining compositional and evolutionary information

(2009) Rakesh Kaundal et al.   PROTEOMICS

Metabolic pathways of the wheat (Triticum aestivum) endosperm amyloplast revealed by proteomics

(2008) Frances M Dupont   BMC PLANT BIOLOGY

PPDB, the Plant Proteomics Database at Cornell

(2008) Qi Sun et al.   NUCLEIC ACIDS RESEARCH

Prediction protein structural classes with pseudo-amino acid composition: Approximate entropy and hydrophobicity pattern

(2007) Tong-Liang Zhang et al.   JOURNAL OF THEORETICAL BIOLOGY