B-cell epitopes prediction for the input <i>Cryptosporidium parvum</i> protein sequences <i>using the</i> ABCpred server.

B-cell epitopes prediction for the input <i>Cryptosporidium parvum</i> protein sequences <i>using the</i> ABCpred server.

<p>B-cell epitopes prediction for the input <i>Cryptosporidium parvum</i> protein sequences <i>using the</i> ABCpred server.</p>

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Bibliographic Details
Main Author:	Guneswar Sethi (11635034) (author)
Other Authors:	Avinash Kant Lakra (22640982) (author), Kirti Nirmal (10055836) (author), Jeong Ho Hwang (7821875) (author)
Published:	2025
Subjects:	Biophysics Biochemistry Microbiology Genetics Molecular Biology Biotechnology Immunology Infectious Diseases Computational Biology Biological Sciences not elsewhere classified targeting immunogenic regions enhance immune recognition antimicrobial resistance underscore promising vaccine candidate ns molecular dynamics assess construct stability epitope subunit vaccine tlr4 (&# 8722 tlr2 (&# 8722 dendritic cell recruitment broad population coverage based immunoinformatics approach cryptosporidium parvum </ epitope vaccine population coverage parvum </ structural stability selected based molecular docking immunoinformatics approaches via </ silico </ xlink "> using structural urgent need transmembrane domains tlr2 agonist three proteins terminus using structural modeling padre sequence lipoprotein lpra inducing epitopes improve helper host proteins flexibility analysis favorable expression experimental validation effective vaccines eaaak linker diarrheal illness cytokine release codon optimization cell responses cell activation 92 %, 4 kcal 3 kcal
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