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Deep Neural Network-Based Prediction of B-Cell Epitopes for SARS-CoV and SARS-CoV-2: Enhancing Vaccine Design through Machine Learning [PDF]

arXiv
The accurate prediction of B-cell epitopes is critical for guiding vaccine development against infectious diseases, including SARS and COVID-19. This study explores the use of a deep neural network (DNN) model to predict B-cell epitopes for SARS-CoVandSARS-CoV-2,leveraging a dataset that incorporates essential protein and peptide features.
arxiv

Use of a lambda gt11 expression library to localize a neutralizing antibody-binding site in glycoprotein E2 of Sindbis virus [PDF]

, 1991
The Sindbis virus envelope contains two species of integral membrane glycoproteins, E1 and E2. These proteins form heterodimers, and three dimeric units assemble to form spikes incorporated into the viral surface which play an important role in the ...
Strauss, James H., Wang, Kang-Sheng
core +1 more source

Identification and characterization of T helper epitopes in the nucleoprotein of influenza A virus. [PDF]

, 1989
Xiao‐Ming Gao, F Y Liew, J P Tite
openalex +1 more source

Revolutionizing the virulent protein Internalin a in Listeria monocytogenes and designing multi epitope-based vaccine via immunoinformatic approaches

CyTA - Journal of Food
This study addresses the crucial protein Internalin A in the development of a possible vaccination against Listeria monocytogenes. A meticulous in silico strategy was used which included physiochemical analysis, epitope prediction, and molecular ...
Tariq Aziz +9 more
doaj +1 more source

Sequence of protective epitopes of streptococcal M proteins shared with cardiac sarcolemmal membranes. [PDF]