Deep mutational scanning for therapeutic antibody engineering.
Trends Pharmacol Sci
; 43(2): 123-135, 2022 02.
Article
in English
| MEDLINE | ID: covidwho-1569095
ABSTRACT
The biophysical and functional properties of monoclonal antibody (mAb) drug candidates are often improved by protein engineering methods to increase the probability of clinical efficacy. One emerging method is deep mutational scanning (DMS) which combines the power of exhaustive protein mutagenesis and functional screening with deep sequencing and bioinformatics. The application of DMS has yielded significant improvements to the affinity, specificity, and stability of several preclinical antibodies alongside novel applications such as introducing multi-specific binding properties. DMS has also been applied directly on target antigens to precisely map antibody-binding epitopes and notably to profile the mutational escape potential of viral targets (e.g., SARS-CoV-2 variants). Finally, DMS combined with machine learning is enabling advances in the computational screening and engineering of therapeutic antibodies.
Keywords
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Main subject:
SARS-CoV-2
/
COVID-19
Type of study:
Prognostic study
Topics:
Variants
Limits:
Humans
Language:
English
Journal:
Trends Pharmacol Sci
Year:
2022
Document Type:
Article
Affiliation country:
J.tips.2021.11.010
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