TY - JOUR
T1 - Animal Immunization, in Vitro Display Technologies, and Machine Learning for Antibody Discovery
AU - Laustsen, Andreas H.
AU - Greiff, Victor
AU - Karatt-Vellatt, Aneesh
AU - Muyldermans, Serge
AU - Jenkins, Timothy P.
PY - 2021
Y1 - 2021
N2 - For years, a discussion has persevered on the benefits and drawbacks of antibody discovery using animal immunization versus in vitro selection from non-animal-derived recombinant repertoires using display technologies. While it has been argued that using recombinant display libraries can reduce animal consumption, we hold that the number of animals used in immunization campaigns is dwarfed by the number sacrificed during preclinical studies. Thus, improving quality control of antibodies before entering in vivo studies will have a larger impact on animal consumption. Both animal immunization and recombinant repertoires present unique advantages for discovering antibodies that are fit for purpose. Furthermore, we anticipate that machine learning will play a significant role within discovery workflows, refining current antibody discovery practices.
AB - For years, a discussion has persevered on the benefits and drawbacks of antibody discovery using animal immunization versus in vitro selection from non-animal-derived recombinant repertoires using display technologies. While it has been argued that using recombinant display libraries can reduce animal consumption, we hold that the number of animals used in immunization campaigns is dwarfed by the number sacrificed during preclinical studies. Thus, improving quality control of antibodies before entering in vivo studies will have a larger impact on animal consumption. Both animal immunization and recombinant repertoires present unique advantages for discovering antibodies that are fit for purpose. Furthermore, we anticipate that machine learning will play a significant role within discovery workflows, refining current antibody discovery practices.
U2 - 10.1016/j.tibtech.2021.03.003
DO - 10.1016/j.tibtech.2021.03.003
M3 - Journal article
C2 - 33775449
VL - 39
SP - 1263
EP - 1273
JO - Trends in Biotechnology
JF - Trends in Biotechnology
SN - 0167-7799
IS - 12
ER -