ArticleBioMed research international2014
Conformational B-cell epitopes prediction from sequences using cost-sensitive ensemble classifiers and spatial clustering.
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 26 papers.
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Who cites it
26 citing papers in PubMed, 59 citations in OpenAlex.
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- Clinical Serum-Anchored Computational Design Pipeline for a Broad-Spectrum Influenza Multi-Epitope mRNA Vaccine.Biology · 2026Article
- Deep learning of antibody epitopes using positional permutation vectors.Computational and structural biotechnology journal · 2024Article
- Advances of computational methods enhance the development of multi-epitope vaccines.Briefings in bioinformatics · 2024Review
- Computational prediction of multiple antigen epitopes.Bioinformatics (Oxford, England) · 2024Article
- Genome-level therapeutic targets identification and chimeric Vaccine designing against theHeliyon · 2024Article
- Computational Methods to Predict Conformational B-Cell Epitopes.Biomolecules · 2024Review
- Designing and immunomolecular analysis of a new broad-spectrum multiepitope vaccine against divergent human papillomavirus types.PloS one · 2024Article
- Multi-perspectives and challenges in identifying B-cell epitopes.Protein science : a publication of the Protein Society · 2023Review
- Fungal Vaccine Development: State of the Art and Perspectives Using Immunoinformatics.Journal of fungi (Basel, Switzerland) · 2023Review
- Immunoinformatics design of multi-epitope peptide-based vaccine againstNetwork modeling and analysis in health informatics and bioinformatics · 2023Article
- A Quantum Vaccinomics Approach for the Design and Production of MSP4 Chimeric Antigen for the Control ofVaccines · 2022Article
- Challenges in Serologic Diagnostics of Neglected Human Systemic Mycoses: An Overview on Characterization of New Targets.Pathogens (Basel, Switzerland) · 2022Review
- Prediction and analysis of multi epitope based vaccine against Newcastle disease virus based on haemagglutinin neuraminidase protein.Saudi journal of biological sciences · 2022Article
- Machine Learning Techniques for the Prediction of B-Cell and T-Cell Epitopes as Potential Vaccine Targets with a Specific Focus on SARS-CoV-2 Pathogen: A Review.Pathogens (Basel, Switzerland) · 2022Review
- Immunoinformatic Approach to Contrive a Next Generation Multi-Epitope Vaccine AgainstFrontiers in medicine · 2022Article
- Linear B-Cell Epitope Prediction for In Silico Vaccine Design: A Performance Review of Methods Available via Command-Line Interface.International journal of molecular sciences · 2021Review
- A Novel Design of Multi-epitope Vaccine AgainstInternational journal of peptide research and therapeutics · 2021Article
- Multiepitope-Based Subunit Vaccine Design and Evaluation against Respiratory Syncytial Virus Using Reverse Vaccinology Approach.Vaccines · 2020Article
- Enhancement of conformational B-cell epitope prediction using CluSMOTE.PeerJ. Computer science · 2020Article
Corrections and comments
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
B-cell epitopes are regions of the antigen surface which can be recognized by certain antibodies and elicit the immune response. Identification of epitopes for a given antigen chain finds vital applications in vaccine and drug research. Experimental prediction of B-cell epitopes is time-consuming and resource intensive, which may benefit from the computational approaches to identify B-cell epitopes. In this paper, a novel cost-sensitive ensemble algorithm is proposed for predicting the antigenic determinant residues and then a spatial clustering algorithm is adopted to identify the potential epitopes. Firstly, we explore various discriminative features from primary sequences. Secondly, cost-sensitive ensemble scheme is introduced to deal with imbalanced learning problem. Thirdly, we adopt spatial algorithm to tell which residues may potentially form the epitopes. Based on the strategies mentioned above, a new predictor, called CBEP (conformational B-cell epitopes prediction), is proposed in this study. CBEP achieves good prediction performance with the mean AUC scores (AUCs) of 0.721 and 0.703 on two benchmark datasets (bound and unbound) using the leave-one-out cross-validation (LOOCV). When compared with previous prediction tools, CBEP produces higher sensitivity and comparable specificity values. A web server named CBEP which implements the proposed method is available for academic use.
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