ArticleJournal of immunology research2014
Model for vaccine design by prediction of B-epitopes of IEDB given perturbations in peptide sequence, in vivo process, experimental techniques, and source or host organisms.
Article in Journal of immunology research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 31 citations in OpenAlex.
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- Evaluation of the immune protective effects of rEmMIC2 and rEmMIC3 from Eimeria magna in rabbits.Parasitology research · 2023Article
- Design and functional preliminary investigation of recombinant antigen EgG1Y162-EgG1Y162 againstOpen life sciences · 2023Article
- Prediction of B cell epitopes in proteins using a novel sequence similarity-based method.Scientific reports · 2022Article
- Deciphering Human Leukocyte Antigen Susceptibility Maps From Immunopeptidomics Characterization in Oncology and Infections.Frontiers in cellular and infection microbiology · 2021Review
- Prediction of Antimalarial Drug-Decorated Nanoparticle Delivery Systems with Random Forest Models.Biology · 2020Article
- A systematic strategy for the investigation of vaccines and drugs targeting bacteria.Computational and structural biotechnology journal · 2020Review
- Improvement of Epitope Prediction Using Peptide Sequence Descriptors and Machine Learning.International journal of molecular sciences · 2019Article
- Carbon Nanotubes' Effect on Mitochondrial Oxygen Flux Dynamics: Polarography Experimental Study and Machine Learning Models using Star Graph Trace Invariants of Raman Spectra.Nanomaterials (Basel, Switzerland) · 2017Article
- A study of the Immune Epitope Database for some fungi species using network topological indices.Molecular diversity · 2017Article
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Perturbation methods add variation terms to a known experimental solution of one problem to approach a solution for a related problem without known exact solution. One problem of this type in immunology is the prediction of the possible action of epitope of one peptide after a perturbation or variation in the structure of a known peptide and/or other boundary conditions (host organism, biological process, and experimental assay). However, to the best of our knowledge, there are no reports of general-purpose perturbation models to solve this problem. In a recent work, we introduced a new quantitative structure-property relationship theory for the study of perturbations in complex biomolecular systems. In this work, we developed the first model able to classify more than 200,000 cases of perturbations with accuracy, sensitivity, and specificity >90% both in training and validation series. The perturbations include structural changes in >50000 peptides determined in experimental assays with boundary conditions involving >500 source organisms, >50 host organisms, >10 biological process, and >30 experimental techniques. The model may be useful for the prediction of new epitopes or the optimization of known peptides towards computational vaccine design.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.