AIMC Topic: Epitopes, B-Lymphocyte

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BepFAMN: A Method for Linear B-Cell Epitope Predictions Based on Fuzzy-ARTMAP Artificial Neural Network.

Sensors (Basel, Switzerland) May 26, 2022
The public health system is extremely dependent on the use of vaccines to immunize the population from a series of infectious and dangerous diseases, preventing the system from collapsing and millions of people dying every year. However, to develop t...
Neural Networks, Computer Area Under Curve Amino Acid Sequence Epitopes, B-Lymphocyte Humans
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Identification of vaccine targets & design of vaccine against SARS-CoV-2 coronavirus using computational and deep learning-based approaches.

PeerJ May 19, 2022
An unusual pneumonia infection, named COVID-19, was reported on December 2019 in China. It was reported to be caused by a novel coronavirus which has infected approximately 220 million people worldwide with a death toll of 4.5 million as of September...
Viral Vaccines Molecular Docking Simulation Deep Learning COVID-19 Vaccines Humans COVID-19 SARS-CoV-2 Escherichia coli Epitopes, B-Lymphocyte Vaccines, Subunit
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NIgPred: Class-Specific Antibody Prediction for Linear B-Cell Epitopes Based on Heterogeneous Features and Machine-Learning Approaches.

Viruses Aug 3, 2021
Upon invasion by foreign pathogens, specific antibodies can identify specific foreign antigens and disable them. As a result of this ability, antibodies can help with vaccine production and food allergen detection in patients. Many studies have focus...
Coronavirus Envelope Proteins SARS-CoV-2 Spike Glycoprotein, Coronavirus Immunoglobulin E Phosphoproteins Immunoglobulin A Epitopes, B-Lymphocyte Viral Matrix Proteins Coronavirus Nucleocapsid Proteins Software COVID-19 Algorithms Immunoglobulin G Humans Machine Learning
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An in silico deep learning approach to multi-epitope vaccine design: a SARS-CoV-2 case study.

Scientific reports Feb 5, 2021
The rampant spread of COVID-19, an infectious disease caused by SARS-CoV-2, all over the world has led to over millions of deaths, and devastated the social, financial and political entities around the world. Without an existing effective medical the...
Models, Molecular Mutation RNA, Viral Molecular Dynamics Simulation Codon Usage Protein Conformation Humans Deep Learning COVID-19 COVID-19 Vaccines Epitopes, B-Lymphocyte SARS-CoV-2 Spike Glycoprotein, Coronavirus Allergens Vaccines, Subunit Epitopes, T-Lymphocyte Computational Biology Solubility T-Lymphocytes, Cytotoxic Molecular Docking Simulation Immunogenicity, Vaccine Drug Design T-Lymphocytes, Helper-Inducer
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COVID-19 Coronavirus Vaccine Design Using Reverse Vaccinology and Machine Learning.

Frontiers in immunology Jul 3, 2020
To ultimately combat the emerging COVID-19 pandemic, it is desired to develop an effective and safe vaccine against this highly contagious disease caused by the SARS-CoV-2 coronavirus. Our literature and clinical trial survey showed that the whole vi...
Humans Machine Learning Pandemics COVID-19 SARS-CoV-2 Animals Immunogenicity, Vaccine Middle East Respiratory Syndrome Coronavirus Betacoronavirus Viral Proteins Pneumonia, Viral Epitopes, B-Lymphocyte Viral Vaccines COVID-19 Vaccines Coronavirus Infections
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Introducing of an integrated artificial neural network and Chou's pseudo amino acid composition approach for computational epitope-mapping of Crimean-Congo haemorrhagic fever virus antigens.

International immunopharmacology Nov 24, 2019
This study was aimed to introduce a novel algorithm for determining linear B- and T-cell epitopes from Crimean-Congo haemorrhagic fever virus (CCHFV) antigens. To this end, 387 approved B- and T-cell epitopes, as well as 331 non-epitope peptides from...
Humans Neural Networks, Computer Epitopes, T-Lymphocyte Molecular Docking Simulation Peptide Library Computational Biology Support Vector Machine Hemorrhagic Fever Virus, Crimean-Congo Hemorrhagic Fever, Crimean Protein Structure, Tertiary Histocompatibility Antigens Class II Amino Acid Sequence Epitopes, B-Lymphocyte Datasets as Topic Epitope Mapping Viral Proteins Antigens, Viral
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Conservation region finding for influenza A viruses by machine learning methods of N-linked glycosylation sites and B-cell epitopes.

Mathematical biosciences Jun 17, 2019
Influenza type A, a serious infectious disease of the human respiratory tract, poses an enormous threat to human health worldwide. It leads to high mortality rates in poultry, pigs, and humans. The primary target identity regions for the human immune...
Hemagglutinin Glycoproteins, Influenza Virus Neuraminidase Viral Proteins Conserved Sequence Epitopes, B-Lymphocyte Glycosylation Databases, Protein Influenza, Human Humans Machine Learning Influenza A virus
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DRREP: deep ridge regressed epitope predictor.

BMC genomics Oct 3, 2017
INTRODUCTION: The ability to predict epitopes plays an enormous role in vaccine development in terms of our ability to zero in on where to do a more thorough in-vivo analysis of the protein in question. Though for the past decade there have been nume...
Epitopes, B-Lymphocyte Neural Networks, Computer Computational Biology Amino Acid Sequence
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Staged heterogeneity learning to identify conformational B-cell epitopes from antigen sequences.

BMC genomics Mar 14, 2017
BACKGROUND: The broad heterogeneity of antigen-antibody interactions brings tremendous challenges to the design of a widely applicable learning algorithm to identify conformational B-cell epitopes. Besides the intrinsic heterogeneity introduced by di...
Protein Interaction Domains and Motifs Epitopes, B-Lymphocyte Protein Conformation, alpha-Helical Protein Conformation, beta-Strand Antigens Binding Sites Antigen-Antibody Complex Epitope Mapping Humans Protein Binding Models, Statistical B-Lymphocytes Supervised Machine Learning
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Harnessing Computational Biology for Exact Linear B-Cell Epitope Prediction: A Novel Amino Acid Composition-Based Feature Descriptor.

Omics : a journal of integrative biology Sep 25, 2015
Proteins embody epitopes that serve as their antigenic determinants. Epitopes occupy a central place in integrative biology, not to mention as targets for novel vaccine, pharmaceutical, and systems diagnostics development. The presence of T-cell and ...
Datasets as Topic Molecular Sequence Data Epitopes, B-Lymphocyte Computational Biology Support Vector Machine Models, Statistical Amino Acid Sequence Humans Software Sensitivity and Specificity
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