ArticleBMC bioinformatics2006
Prediction of protein submitochondria locations by hybridizing pseudo-amino acid composition with various physicochemical features of segmented sequence.
Article in BMC bioinformatics, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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Who cites it
22 citing papers in PubMed.
- Identification of plant vacuole proteins by using graph neural network and contact maps.BMC bioinformatics · 2023Article
- Large-scale prediction and analysis of protein sub-mitochondrial localization with DeepMito.BMC bioinformatics · 2020Article
- DeepMito: accurate prediction of protein sub-mitochondrial localization using convolutional neural networks.Bioinformatics (Oxford, England) · 2020Article
- Classification of adaptor proteins using recurrent neural networks and PSSM profiles.BMC genomics · 2019Article
- SubmitoLoc: Identification of mitochondrial sub cellular locations of proteins using support vector machine.Bioinformation · 2019Article
- Prediction of Protein Sub-Mitochondria Locations Using Protein Interaction Networks.Iranian journal of biotechnology · 2018Article
- 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
- Distinct profiling of antimicrobial peptide families.Bioinformatics (Oxford, England) · 2015Article
- Designing of peptides with desired half-life in intestine-like environment.BMC bioinformatics · 2014Article
- 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
- An empirical study of different approaches for protein classification.TheScientificWorldJournal · 2014Article
- Spatial and functional organization of mitochondrial protein network.Scientific reports · 2013Article
- SubMito-PSPCP: predicting protein submitochondrial locations by hybridizing positional specific physicochemical properties with pseudoamino acid compositions.BioMed research international · 2013Article
- Some remarks on protein attribute prediction and pseudo amino acid composition.Journal of theoretical biology · 2011Article
- Hydrophilicity matching - a potential prerequisite for the formation of protein-protein complexes in the cell.PloS one · 2010Article
- Identification of ATP binding residues of a protein from its primary sequence.BMC bioinformatics · 2009Article
- Multi label learning for prediction of human protein subcellular localizations.The protein journal · 2009Article
- Localization of the Carnation Italian ringspot virus replication protein p36 to the mitochondrial outer membrane is mediated by an internal targeting signal and the TOM complex.BMC cell biology · 2008Article
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2 authors.
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Abstract
backgroundKnowing the submitochondria localization of a mitochondria protein is an important step to understand its function. We develop a method which is based on an extended version of pseudo-amino acid composition to predict the protein localization within mitochondria. This work goes one step further than predicting protein subcellular location. We also try to predict the membrane protein type for mitochondrial inner membrane proteins.
resultsBy using leave-one-out cross validation, the prediction accuracy is 85.5% for inner membrane, 94.5% for matrix and 51.2% for outer membrane. The overall prediction accuracy for submitochondria location prediction is 85.2%. For proteins predicted to localize at inner membrane, the accuracy is 94.6% for membrane protein type prediction.
conclusionOur method is an effective method for predicting protein submitochondria location. But even with our method or the methods at subcellular level, the prediction of protein submitochondria location is still a challenging problem. The online service SubMito is now available at: http://bioinfo.au.tsinghua.edu.cn/subMito.
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