SwRI uses AI to find Ebola Bundibugyo antiviral candidates

This was a real miss because it is exactly the kind of practical AI application the feed should catch. Southwest Research Institute and Texas Biomed announced on May 26 that SwRI used AI tools to identify nearly two dozen antiviral compounds that could potentially treat Bundibugyo virus, a rare Ebola species involved in the current DRC outbreak. The SwRI-developed GAMES language model prioritized precursors used to synthesize 18 novel analogs for screening against Bundibugyo, and Texas Biomed will test the compounds in its Biosafety Level 4 laboratory. WHO says there is no licensed vaccine or specific therapeutic against Bundibugyo virus, though supportive care is lifesaving, so even early candidate discovery is notable. The caveat is critical: these are pilot compounds for lab screening, not approved drugs or validated treatments. Watch test results, animal data, and whether any candidate moves toward emergency evaluation.

Key details: Southwest Research Institute, Texas Biomed, May 26, 2026, Bundibugyo Ebola virus, nearly two dozen antiviral candidates, 18 novel analogs, GAMES language model, BSL-4 laboratory.

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