| Abstract |
Antibody is a biochemical molecule that have specific binding with antigen leading to therapeutic applications for many diseases. It has a complex structure including CDR-H3 region that can be used to predict neutralizing activity and therapeutic efficacy. According to our interests of dengue antibodies, we aim to generate a novel dataset of CDR-H3 sequences together with IC50 values towards the characterization and analysis of our obtained sequences in terms of neutralizing levels, cross-reactivities, and important features for neutralization. We obtained the dataset of CDR-H3 –IC50 in a total of1,968 pairs including 914 high neutralizing antibodies (IC ≤ 10 ng/μL) and 1,054 low neutralizing antibodies (IC > 10 ng/μL). In the dataset, we found 50 cross-reactive antibodies, 28 broad-reactive antibodies, and 284 non-cross-reactive antibodies. From Python analysis, we found 20 important features including chiral carbon and aromaticity. This finding might be useful for further development of therapeutic antibodies against dengue virus. |
Publication
Journal Publication
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