Identification of SARS-CoV-2 M pro inhibitors containing P1' 4-fluorobenzothiazole moiety highly active against SARS-CoV-2.
Nobuyo Higashi-KuwataKohei TsujiHironori HayashiHaydar BulutMaki KisoMasaki ImaiHiromi Aoki-OgataTakahiro IshiiTakuya KobayakawaKenta NakanoNobutoki TakamuneNaoki KishimotoShin-Ichiro HattoriDebananda DasYukari UemuraYosuke ShimizuManabu AokiKazuya HasegawaSatoshi SuzukiAkie NishiyamaJunji SaruwatariYukiko ShimizuYoshikazu SukenagaYuki TakamatsuKiyoto TsuchiyaKenji MaedaKazuhisa YoshimuraShun IidaSeiya OzonoTadaki SuzukiTadashi OkamuraShogo MisumiYoshihiro KawaokaHirokazu TamamuraHiroaki MitsuyaPublished in: Nature communications (2023)
COVID-19 caused by SARS-CoV-2 has continually been serious threat to public health worldwide. While a few anti-SARS-CoV-2 therapeutics are currently available, their antiviral potency is not sufficient. Here, we identify two orally available 4-fluoro-benzothiazole-containing small molecules, TKB245 and TKB248, which specifically inhibit the enzymatic activity of main protease (M pro ) of SARS-CoV-2 and significantly more potently block the infectivity and replication of various SARS-CoV-2 strains than nirmatrelvir, molnupiravir, and ensitrelvir in cell-based assays employing various target cells. Both compounds also block the replication of Delta and Omicron variants in human-ACE2-knocked-in mice. Native mass spectrometric analysis reveals that both compounds bind to dimer M pro , apparently promoting M pro dimerization. X-ray crystallographic analysis shows that both compounds bind to M pro 's active-site cavity, forming a covalent bond with the catalytic amino acid Cys-145 with the 4-fluorine of the benzothiazole moiety pointed to solvent. The data suggest that TKB245 and TKB248 might serve as potential therapeutics for COVID-19 and shed light upon further optimization to develop more potent and safer anti-SARS-CoV-2 therapeutics.
Keyphrases
- sars cov
- respiratory syndrome coronavirus
- anti inflammatory
- public health
- small molecule
- positron emission tomography
- endothelial cells
- escherichia coli
- induced apoptosis
- adipose tissue
- magnetic resonance
- type diabetes
- high throughput
- high resolution
- risk assessment
- metabolic syndrome
- machine learning
- computed tomography
- insulin resistance
- cell proliferation
- copy number
- signaling pathway
- artificial intelligence
- big data
- data analysis