Background: Cholera, a diarrheal illness, causes millions of deaths worldwide due to
large outbreaks. The monoclonal antibody used as therapeutic purposes of cholera is prone to be
unstable due to various factors including self-aggregation.
Objectives: In this bioinformatic analysis, we identified the aggregation prone regions (APRs) of
antibody sequences of different immunogens (i.e., CTB, ZnM-CTB, ZnP-CTB, TcpA-CT-CTB,
ZnM-TcpA-CT-CTB, ZnP-TcpA-CT-CTB, ZnM-TcpA, ZnP-TcpA, TcpA-CT-TcpA, ZnM-TcpACT-
TcpA, ZnP-TcpA-CT-TcpA, Ogawa, Inaba and ZnM-Inaba) raised against Vibrio cholerae.
Methods: To determine APRs in antibody sequences that were generated after immunizing Vibrio
cholerae immunogens on Mus musculus, a total of 94 sequences were downloaded as FASTA
format from a protein database and the algorithms such as Tango, Waltz, PASTA 2.0, and
AGGRESCAN were followed to analyze probable APRs in all of the sequences.
Results: A remarkably high number of regions in the monoclonal antibodies were identified to be
APRs which could explain a cause of instability/short term protection of the anticholera vaccine.
Conclusion: To increase the stability, it would be interesting to eliminate the APR residues from
the therapeutic antibodies in such a way that the antigen-binding sites or the complementarity
determining region loops involved in antigen recognition are not disrupted.