CASE
STUDIES
COVID Moonshot: PostEra’s machine learning platform in real world drug discovery
In March 2020 PostEra helped launch COVID Moonshot, which became the world’s largest open-science initiative to develop a COVID antiviral cure.
PostEra’s machine learning drove the prioritization of crowdsourced ideas
Property | Target Range | Cold Start Mar 2020 --> Dec 2021 |
---|---|---|
Protease Assay | IC50 < 50 nM | 40nM |
Viral Replication | EC50 < 0.2µM | 0.15 μM in A549 CPE |
PK-PD | Cmin > EC90 (plaque reduction) for 24h | Current projected human dose ~220mg QD ; 100mg BID |
Coronavirus spectrum | SARS-CoV2 B1.1.7 , 501.V2, B.1.1.248 variants essential SARS-CoV-1 & MERS desirable | Active against B1.1.7 , 501.V2 in cellular assays |
Route of administration | oral | BO = 45% in rat |
Solubility | > 5 mg/mL, >100µM tolerable | 750 µM |
Half-Life | Ideally >= 8 h (human) est from rat and dog | Rat 2h, human predicted PK sufficient |
Safety | No significant protease activity >50% at 10μM (Nanosyn 61 protease panel) Only reversible and monitorable toxicities (NOAEL > 30x Cmax) No significant DDI – clean in 5 CYP450 isoforms Critical transporter check (e.g. OATP) hERG and NaV1.5 IC50 > 50 µM No significant change in QTc No mutagenicity or teratogenicity risk | Protease panel clean on analogues Eurofins / CEREP 44 target panel clean Cyp450: clean except 2A4 (3uM) No hERG activity Live phase planned Lead compounds are clean in AMES +/- S9 |