ArticleBMC bioinformatics2006
Prediction of protein structural class with Rough Sets.
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 20 papers.
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20 citing papers in PubMed.
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- R.ROSETTA: an interpretable machine learning framework.BMC bioinformatics · 2021Article
- Statistical prediction of protein structural, localization and functional properties by the analysis of its fragment mass distributions after proteolytic cleavage.Scientific reports · 2016Article
- A Gram-Negative Bacterial Secreted Protein Types Prediction Method Based on PSI-BLAST Profile.BioMed research international · 2016Article
- Prediction of Protein Structural Class Based on Gapped-Dipeptides and a Recursive Feature Selection Approach.International journal of molecular sciences · 2015Article
- Justified granulation aided noninvasive liver fibrosis classification system.BMC medical informatics and decision making · 2015Article
- Customised fragments libraries for protein structure prediction based on structural class annotations.BMC bioinformatics · 2015Article
- Binary matrix shuffling filter for feature selection in neuronal morphology classification.Computational and mathematical methods in medicine · 2015Article
- Prediction of Protein Structural Classes for Low-Similarity Sequences Based on Consensus Sequence and Segmented PSSM.Computational and mathematical methods in medicine · 2015Article
- Article
- Proposing a highly accurate protein structural class predictor using segmentation-based features.BMC genomics · 2014Article
- Comparison study on statistical features of predicted secondary structures for protein structural class prediction: From content to position.BMC bioinformatics · 2013Article
- Protein sequences classification by means of feature extraction with substitution matrices.BMC bioinformatics · 2010Article
- Modular prediction of protein structural classes from sequences of twilight-zone identity with predicting sequences.BMC bioinformatics · 2009Article
- SCPRED: accurate prediction of protein structural class for sequences of twilight-zone similarity with predicting sequences.BMC bioinformatics · 2008Article
- Searching for factors that distinguish disease-prone and disease-resistant prions via sequence analysis.Bioinformatics and biology insights · 2008Article
- A time-series-based feature extraction approach for prediction of protein structural class.EURASIP journal on bioinformatics & systems biology · 2008Article
- Novel knowledge-based mean force potential at the profile level.BMC bioinformatics · 2006Article
- Prediction of protein structural classes using hybrid properties.Molecular diversityArticle
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundA new method for the prediction of protein structural classes is constructed based on Rough Sets algorithm, which is a rule-based data mining method. Amino acid compositions and 8 physicochemical properties data are used as conditional attributes for the construction of decision system. After reducing the decision system, decision rules are generated, which can be used to classify new objects.
resultsIn this study, self-consistency and jackknife tests on the datasets constructed by G.P. Zhou (Journal of Protein Chemistry, 1998, 17: 729-738) are used to verify the performance of this method, and are compared with some of prior works. The results showed that the rough sets approach is very promising and may play a complementary role to the existing powerful approaches, such as the component-coupled, neural network, SVM, and LogitBoost approaches.
conclusionThe results with high success rates indicate that the rough sets approach as proposed in this paper might hold a high potential to become a useful tool in bioinformatics.
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