The invention relates to the technical field of
biology, in particular to a method for improving affinity of a nano
antibody based on computer-aided design. According to the method, a series of
bioinformatics tools for nano
antibody affinity maturation are investigated and researched in literatures, and part of databases, servers and
software are optimized to construct a set of computer-aided design (CAD) nano
antibody affinity improvement method by evaluating the
operability and the improvement effect of the tools. In order to verify the effectiveness and universality of the method, based on the method, a high-affinity
mutant nano antibody is virtually screened out of an Anti-
Nectin-4 camel source nano antibody NBNT-1 and an Anti-PD-L1 shark source nano antibody NBNT4 screened in a synthetic
library through model construction, model evaluation, site prediction, molecular docking,
structural analysis,
mutation prediction and
mutation evaluation. Traditional in-vitro
affinity maturation methods, such as error-prone PCR, are low in screening efficiency, large in randomness introduced by
mutation, long in experimental period, large in
workload and difficult to accurately optimize the affinity of target molecules. According to the method, various defects of a traditional in-vitro
affinity maturation method are overcome, and the success rate and efficiency of affinity maturation are improved.