ArticleBioMed research international2014
Predicting the types of J-proteins using clustered amino acids.
Article in BioMed research international, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed.
- J-like protein family of Arabidopsis thaliana: the enigmatic cousins of J-domain proteins.Plant cell reports · 2022Review
- Research progress of reduced amino acid alphabets in protein analysis and prediction.Computational and structural biotechnology journal · 2022Review
- DeepRTCP: Predicting ATP-Binding Cassette Transporters Based on 1-Dimensional Convolutional Network.Frontiers in cell and developmental biology · 2020Article
- The expanding world of plant J-domain proteins.Critical reviews in plant sciences · 2019Article
- A Hybrid Classification System for Heart Disease Diagnosis Based on the RFRS Method.Computational and mathematical methods in medicine · 2017Article
- ir-HSP: Improved Recognition of Heat Shock Proteins, Their Families and Sub-types Based OnFrontiers in genetics · 2017Article
- Identifying NMolecular genetics and genomics : MGG · 2016Article
- PAI: Predicting adenosine to inosine editing sites by using pseudo nucleotide compositions.Scientific reports · 2016Article
- Prediction of phosphothreonine sites in human proteins by fusing different features.Scientific reports · 2016Article
- RAMPred: identifying the N(1)-methyladenosine sites in eukaryotic transcriptomes.Scientific reports · 2016Article
- Identification of apolipoprotein using feature selection technique.Scientific reports · 2016Article
- Identification of Bacterial Cell Wall Lyases via Pseudo Amino Acid Composition.BioMed research international · 2016Article
- Article
- Prediction of protein-protein interactions with clustered amino acids and weighted sparse representation.International journal of molecular sciences · 2015Article
- Survey of Programs Used to Detect Alternative Splicing Isoforms from Deep Sequencing Data In Silico.BioMed research international · 2015Review
- JPPRED: Prediction of Types of J-Proteins from Imbalanced Data Using an Ensemble Learning Method.BioMed research international · 2015Article
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4 authors.
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No grant is acknowledged in the PubMed record.
Abstract
J-proteins are molecular chaperones and present in a wide variety of organisms from prokaryote to eukaryote. Based on their domain organizations, J-proteins can be classified into 4 types, that is, Type I, Type II, Type III, and Type IV. Different types of J-proteins play distinct roles in influencing cancer properties and cell death. Thus, reliably annotating the types of J-proteins is essential to better understand their molecular functions. In the present work, a support vector machine based method was developed to identify the types of J-proteins using the tripeptide composition of reduced amino acid alphabet. In the jackknife cross-validation, the maximum overall accuracy of 94% was achieved on a stringent benchmark dataset. We also analyzed the amino acid compositions by using analysis of variance and found the distinct distributions of amino acids in each family of the J-proteins. To enhance the value of the practical applications of the proposed model, an online web server was developed and can be freely accessed.
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