Prediction of aptamer-protein interacting pairs using an ensemble classifier in combination with various protein sequence attributes
Published 2016 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Prediction of aptamer-protein interacting pairs using an ensemble classifier in combination with various protein sequence attributes
Authors
Keywords
Aptamer-protein interacting pairs, Ensemble method, Hybrid features, Imbalanced data problem
Journal
BMC BIOINFORMATICS
Volume 17, Issue 1, Pages -
Publisher
Springer Nature
Online
2016-05-31
DOI
10.1186/s12859-016-1087-5
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- GlycoMine: a machine learning-based approach for predicting N-, C- and O-linked glycosylation in the human proteome
- (2015) Fuyi Li et al. BIOINFORMATICS
- Identifying DNA-binding proteins by combining support vector machine and PSSM distance transformation
- (2015) Ruifeng Xu et al. BMC Systems Biology
- Aptamers: Active Targeting Ligands for Cancer Diagnosis and Therapy
- (2015) Xu Wu et al. Theranostics
- An Ensemble Method with Hybrid Features to Identify Extracellular Matrix Proteins
- (2015) Runtao Yang et al. PLoS One
- Using Support Vector Machine Ensembles for Target Audience Classification on Twitter
- (2015) Siaw Ling Lo et al. PLoS One
- Identification of mitochondrial proteins of malaria parasite using analysis of variance
- (2014) Hui Ding et al. AMINO ACIDS
- IDM-PhyChm-Ens: Intelligent decision-making ensemble methodology for classification of human breast cancer using physicochemical properties of amino acids
- (2014) Safdar Ali et al. AMINO ACIDS
- PseKNC: A flexible web server for generating pseudo K-tuple nucleotide composition
- (2014) Wei Chen et al. ANALYTICAL BIOCHEMISTRY
- iNuc-PseKNC: a sequence-based predictor for predicting nucleosome positioning in genomes with pseudo k-tuple nucleotide composition
- (2014) Shou-Hui Guo et al. BIOINFORMATICS
- Sequence-based identification of recombination spots using pseudo nucleic acid representation and recursive feature extraction by linear kernel SVM
- (2014) Liqi Li et al. BMC BIOINFORMATICS
- PSNO: Predicting Cysteine S-Nitrosylation Sites by Incorporating Various Sequence-Derived Features into the General Form of Chou’s PseAAC
- (2014) Jian Zhang et al. INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
- iRSpot-TNCPseAAC: Identify Recombination Spots with Trinucleotide Composition and Pseudo Amino Acid Components
- (2014) Wang-Ren Qiu et al. INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
- Chou׳s pseudo amino acid composition improves sequence-based antifreeze protein prediction
- (2014) Sukanta Mondal et al. JOURNAL OF THEORETICAL BIOLOGY
- Prediction of protein structure classes using hybrid space of multi-profile Bayes and bi-gram probability feature spaces
- (2014) Maqsood Hayat et al. JOURNAL OF THEORETICAL BIOLOGY
- iPro54-PseKNC: a sequence-based predictor for identifying sigma-54 promoters in prokaryote with pseudo k-tuple nucleotide composition
- (2014) Hao Lin et al. NUCLEIC ACIDS RESEARCH
- Prediction of Aptamer-Target Interacting Pairs with Pseudo-Amino Acid Composition
- (2014) Bi-Qing Li et al. PLoS One
- Cascleave 2.0, a new approach for predicting caspase and granzyme cleavage targets
- (2013) Mingjun Wang et al. BIOINFORMATICS
- Predicting protein-ATP binding sites from primary sequence through fusing bi-profile sampling of multi-view features
- (2013) Ya-Nan Zhang et al. BMC BIOINFORMATICS
- In silico approaches for designing highly effective cell penetrating peptides
- (2013) Ankur Gautam et al. Journal of Translational Medicine
- AcalPred: A Sequence-Based Tool for Discriminating between Acidic and Alkaline Enzymes
- (2013) Hao Lin et al. PLoS One
- Using ensemble SVM to identify human GPCRs N-linked glycosylation sites based on the general form of Chou's PseAAC
- (2013) H.-L. Xie et al. PROTEIN ENGINEERING DESIGN & SELECTION
- Potent Anticoagulant Aptamer Directed against Factor IXa Blocks Macromolecular Substrate Interaction
- (2012) Bruce Sullenger et al. JOURNAL OF BIOLOGICAL CHEMISTRY
- Predicting promoters by pseudo-trinucleotide compositions based on discrete wavelets transform
- (2012) Xuan Zhou et al. JOURNAL OF THEORETICAL BIOLOGY
- A feature extraction technique using bi-gram probabilities of position specific scoring matrix for protein fold recognition
- (2012) Alok Sharma et al. JOURNAL OF THEORETICAL BIOLOGY
- An Ensemble Classifier for Eukaryotic Protein Subcellular Location Prediction Using Gene Ontology Categories and Amino Acid Hydrophobicity
- (2012) Liqi Li et al. PLoS One
- Prediction of Protein Domain with mRMR Feature Selection and Analysis
- (2012) Bi-Qing Li et al. PLoS One
- Aptamer base: a collaborative knowledge base to describe aptamers and SELEX experiments
- (2012) Jose Cruz-Toledo et al. Database-The Journal of Biological Databases and Curation
- Identification of protein methylation sites by coupling improved ant colony optimization algorithm and support vector machine
- (2011) Zhan-Chao Li et al. ANALYTICA CHIMICA ACTA
- Nucleic Acid Aptamers Against Proteases
- (2011) D. M. Dupont et al. CURRENT MEDICINAL CHEMISTRY
- Prediction of Cell Penetrating Peptides by Support Vector Machines
- (2011) William S. Sanders et al. PLoS Computational Biology
- 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
- Hybrid approaches to attribute reduction based on indiscernibility and discernibility relation
- (2010) J. Qian et al. INTERNATIONAL JOURNAL OF APPROXIMATE REASONING
- Aptamers as therapeutics
- (2010) Anthony D. Keefe et al. NATURE REVIEWS DRUG DISCOVERY
- SecretP: A new method for predicting mammalian secreted proteins
- (2010) Lezheng Yu et al. PEPTIDES
- Identifying Human Kinase-Specific Protein Phosphorylation Sites by Integrating Heterogeneous Information from Various Sources
- (2010) Tingting Li et al. PLoS One
- Aptamers and riboswitches: perspectives in biotechnology
- (2009) Julia E. Weigand et al. APPLIED MICROBIOLOGY AND BIOTECHNOLOGY
- Direct In Vitro Selection of Hemin-Binding DNA Aptamer with Peroxidase Activity
- (2009) Mingzhe Liu et al. BULLETIN OF THE CHEMICAL SOCIETY OF JAPAN
- Prediction of subcellular location of mycobacterial protein using feature selection techniques
- (2009) Hao Lin et al. MOLECULAR DIVERSITY
- Improved Prediction of Lysine Acetylation by Support Vector Machines
- (2009) Songling Li et al. PROTEIN AND PEPTIDE LETTERS
- Assessment of disorder predictions in CASP8
- (2009) Orly Noivirt-Brik et al. PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS
- Local DNA Topography Correlates with Functional Noncoding Regions of the Human Genome
- (2009) S. C. J. Parker et al. SCIENCE
- An information granulation based data mining approach for classifying imbalanced data
- (2008) Mu-Chen Chen et al. INFORMATION SCIENCES
- Cell-PLoc: a package of Web servers for predicting subcellular localization of proteins in various organisms
- (2008) Kuo-Chen Chou et al. Nature Protocols
- Aptamer-based biosensors
- (2007) Shiping Song et al. TRAC-TRENDS IN ANALYTICAL CHEMISTRY
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started