[EN] METHODS AND COMPOSITIONS FOR TARGETING PD-L1<br/>[FR] PROCÉDÉS ET COMPOSITIONS POUR LE CIBLAGE DE PD-L1
申请人:ALIGOS THERAPEUTICS INC
公开号:WO2021236771A1
公开(公告)日:2021-11-25
The present disclosure related to compounds that can be useful as inhibitors of PD-1, PD-Ll or the PD-1/PD-Ll interaction. Also disclosed herein are pharmaceutical compositions of that can include a compound of Formula (I), or a pharmaceutically acceptable salt thereof, and uses of or methods of using a compound of Formula (I), or a pharmaceutically acceptable salt thereof, for the treatment of PD-L1 related diseases including but not limited to liver diseases, cancer, hepatocellular carcinoma, viral diseases, or hepatitis B.
Abstractω‐Transaminases (ω‐TAs) show considerable potential for the synthesis of chiral amines. However, their low catalytic efficiency towards bulky substrates limits their application, and complicated catalytic mechanisms prevent precise enzyme design. Herein, we address this challenge using a mechanism‐guided computational enzyme design strategy by reprograming the transition and ground states in key reaction steps. The common features among the three high‐energy‐barrier steps responsible for the low catalytic efficiency were revealed using quantum mechanics (QM). Five key residues were simultaneously tailored to stabilize the rate‐limiting transition state with the aid of the Rosetta design. The 14 top‐ranked variants showed 16.9–143‐fold improved catalytic activity. The catalytic efficiency of the best variant, M9 (Q25F/M60W/W64F/I266A), was significantly increased, with a 1660‐fold increase in kcat/Km and a 1.5–26.8‐fold increase in turnover number (TON) towards various indanone derivatives.