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Commentary: Unexpected Novel Chemical Weapon Agents Designed by Innocuous Drug-Development AI (Artificial Intelligence) Algorithm

Commentary: Unexpected Novel Chemical Weapon Agents Designed by Innocuous Drug-Development AI (Artificial Intelligence) Algorithm
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摘要 Recent publications reveal the disturbing information that a minor edit to an algorithm being used for designing legitimate drug candidates redirected the program in a way that resulted in the surprising design of novel chemical warfare agent candidates. Although this outcome was not the result of nefarious intent, and appropriate chemical defense authorities were notified, the potential implications of some misapplication of a drug-design algorithm for nefarious purposes are clear. This Commentary summarizes how otherwise benign Artificial Intelligence (AI) algorithms used for drug discovery can be easily reversed to design novel chemical warfare agents for which no effective antidote will be available, or perhaps even envisioned. Recent publications reveal the disturbing information that a minor edit to an algorithm being used for designing legitimate drug candidates redirected the program in a way that resulted in the surprising design of novel chemical warfare agent candidates. Although this outcome was not the result of nefarious intent, and appropriate chemical defense authorities were notified, the potential implications of some misapplication of a drug-design algorithm for nefarious purposes are clear. This Commentary summarizes how otherwise benign Artificial Intelligence (AI) algorithms used for drug discovery can be easily reversed to design novel chemical warfare agents for which no effective antidote will be available, or perhaps even envisioned.
作者 Robert B. Raffa Joseph V. Pergolizzi Jr. Thomas Miller Daniel Motto Robert B. Raffa;Joseph V. Pergolizzi Jr.;Thomas Miller;Daniel Motto(School of Pharmacy (Emeritus Prof.), Temple University, Philadelphia, PA, USA;College of Pharmacy (Adjunct), University of Arizona, Tucson, AZ, USA;Neumentum, Summit, NJ, USA;Enalare Therapeutics, Princeton, NJ, USA;NEMA Research, Naples, FL, USA;Sydney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA, USA)
出处 《Pharmacology & Pharmacy》 CAS 2022年第7期225-229,共5页 药理与制药(英文)
关键词 Artificial Intelligence Drug Discovery Chemical Weapons Machine Learning Generative Model Toxicity Prediction Artificial Intelligence Drug Discovery Chemical Weapons Machine Learning Generative Model Toxicity Prediction
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