计算生物学
药物发现
高通量筛选
化学
DNA
严重急性呼吸综合征冠状病毒2型(SARS-CoV-2)
钥匙(锁)
选择(遗传算法)
三元络合物
纳米技术
领域(数学分析)
生物
DNA测序
计算机科学
小分子
2019-20冠状病毒爆发
受体
2019年冠状病毒病(COVID-19)
药物靶点
基因组学
冠状病毒
作者
Clinton H. Hansen,Mark R. Lipstein,Sarah C. Erlandson,Tobias Schwalbe,Sylvie G. Bernier,Peter Gmeiner,Andrew C. Kruse,Wesley P. Wong
出处
期刊:Science
[American Association for the Advancement of Science]
日期:2026-11-05
卷期号:394 (6824): eadt7185-eadt7185
标识
DOI:10.1126/science.adt7185
摘要
Molecules that modulate protein-protein interactions, including through ternary complex formation, have been established as key therapeutics. Yet they can be challenging to discover, as standard screening approaches often lack throughput or fail to directly assay multibody interactions. We addressed this by combining DNA nanoswitch-based selection of nucleotide-encoded libraries with next-generation sequencing to create FIND (Functional Interaction-based Nanoswitch Discovery), which enables ultrahigh-throughput discovery of compounds that induce or increase protein-protein interactions. We demonstrate FIND by discovering nanobodies that stabilize the interaction between angiotensin-converting enzyme 2 and the receptor-binding domain of severe acute respiratory syndrome coronavirus 2 and by discovering agonists of peroxisome proliferator-activated receptor gamma from a DNA-barcoded small-molecule library. By enabling rapid discovery of molecular modulators, FIND could lead to new therapeutics across many conditions.
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