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AI-informed AdaptiveFlow redefines large-scale cloud computing for drug discovery

Published

1 September 2026

Topic

technology

◆ Sectors

Drug DiscoveryAI InfrastructureCloud Infrastructure

◆ Source

Read at phys.org →

◆ Verified

Fusion42 · 1 September 2026 · Fusion42 review

AdaptiveFlow is a novel AI-based platform that enables ultra-large virtual screenings of billions of drug-like molecules at a 1,000-fold reduction in computational cost, setting a new benchmark for cloud-based drug discovery with linear scaling up to 5.6 million CPUs. It has demonstrated success in identifying potent inhibitors for challenging cancer targets such as PARP1 and FSP1, improving both efficiency and access in drug discovery.

This Wire brief sits within Fusion42's coverage of Drug Discovery, AI Infrastructure and Cloud Infrastructure, and 2 sources have reported it between 1 Sep 2026 and 2 Sep 2026.

◆ ◆ The Wire takeaway

You now have a way to dramatically cut the cost and scale of cloud drug screening. AdaptiveFlow opens the door to routinely screening billions of molecules, letting you compete by running ultra-large tests that rivals cannot afford.

◆ Coverage

2 sources · first reported 1 Sep 2026 · latest 2 Sep 2026

◆ Related on Wire

◆ Topics

Drug DiscoveryAI InfrastructureCloud Infrastructureaicloud-computingdrug-discoveryvirtual-screeningcancer