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research article

Rational Design of Chemically Controlled Antibodies and Protein Therapeutics

Marchand, Anthony  
•
Bonati, Lucia  
•
Shui, Sailan  
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May 30, 2023
ACS Chemical Biology

Protein-based therapeutics, such as monoclonal antibodies and cytokines, are important therapies for various pathophysiological conditions such as oncology, autoimmune disorders, and viral infections. However, the wide application of such protein therapeutics is often hindered by dose-limiting toxicities and adverse effects, namely, cytokine storm syndrome, organ failure, and others. Therefore, spatiotemporal control of the activities of these proteins is crucial to further expand their application. Here, we report the design and application of small-molecule-controlled switchable protein therapeutics by taking advantage of a previously engineered OFF-switch system. We used the Rosetta modeling suite to computationally optimize the affinity between B-cell lymphoma 2 (Bcl-2) protein and a previously developed computationally designed protein partner (LD3) to obtain a fast and efficient heterodimer disruption upon the addition of a competing drug (Venetoclax). The incorporation of the engineered OFF-switch system into anti-CTLA4, anti-HER2 antibodies, or an Fc-fused IL-15 cytokine demonstrated an efficient disruption in vitro, as well as fast clearance in vivo upon the addition of the competing drug Venetoclax. These results provide a proof-of-concept for the rational design of controllable biologics by introducing a drug-induced OFF-switch into existing protein-based therapeutics.

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Type
research article
DOI
10.1021/acschembio.3c00012
Author(s)
Marchand, Anthony  
Bonati, Lucia  
Shui, Sailan  
Scheller, Leo  
Gainza Cirauqui, Pablo  
Rosset, Stéphane  
Georgeon, Sandrine  
Tang, Li  
Correia, Bruno  
Date Issued

2023-05-30

Published in
ACS Chemical Biology
Volume

18

Issue

6

Start page

1259

End page

1265

Subjects

protein

•

protein design

•

antibody

•

antibodies

•

therapeutics

•

switch

•

small molecule

•

drug

•

computational

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
LPDI  
LBI  
Available on Infoscience
June 16, 2023
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/198280
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