ArticleBioMed research international2013
SubMito-PSPCP: predicting protein submitochondrial locations by hybridizing positional specific physicochemical properties with pseudoamino acid compositions.
Article in BioMed research international, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- iT4SE-EP: Accurate Identification of Bacterial Type IV Secreted Effectors by Exploring Evolutionary Features from Two PSI-BLAST Profiles.Molecules (Basel, Switzerland) · 2021Article
- Computer-Aided Prediction of Protein Mitochondrial Localization.Methods in molecular biology (Clifton, N.J.) · 2021Article
- Large-scale prediction and analysis of protein sub-mitochondrial localization with DeepMito.BMC bioinformatics · 2020Article
- DeepPred-SubMito: A Novel Submitochondrial Localization Predictor Based on Multi-Channel Convolutional Neural Network and Dataset Balancing Treatment.International journal of molecular sciences · 2020Article
- Article
- DeepMito: accurate prediction of protein sub-mitochondrial localization using convolutional neural networks.Bioinformatics (Oxford, England) · 2020Article
- Predicting Endoplasmic Reticulum Resident Proteins Using Auto-Cross Covariance Transformation With a U-Shaped Residue Weight-Transfer Function.Frontiers in genetics · 2019Article
- Predicting Protein Submitochondrial Locations: The 10th Anniversary.Current genomics · 2017Review
- Prediction of Protein Submitochondrial Locations by Incorporating Dipeptide Composition into Chou's General Pseudo Amino Acid Composition.The Journal of membrane biology · 2016Article
- Article
- PseAAC-General: fast building various modes of general form of Chou's pseudo-amino acid composition for large-scale protein datasets.International journal of molecular sciences · 2014Article
- acACS: improving the prediction accuracy of protein subcellular locations and protein classification by incorporating the average chemical shifts composition.TheScientificWorldJournal · 2014Article
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Authors and funding
2 authors.
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Abstract
Knowing the submitochondrial location of a mitochondrial protein is an important step in understanding its function. We developed a new method for predicting protein submitochondrial locations by introducing a new concept: positional specific physicochemical properties. With the framework of general form pseudoamino acid compositions, our method used only about 100 features to represent protein sequences, which is much simpler than the existing methods. On the dataset of SubMito, our method achieved over 93% overall accuracy, with 98.60% for inner membrane, 93.90% for matrix, and 70.70% for outer membrane, which are comparable to all state-of-the-art methods. As our method can be used as a general method to upgrade all pseudoamino-acid-composition-based methods, it should be very useful in future studies. We implement our method as an online service: SubMito-PSPCP.
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