Computational 'match game' identifies potential antibiotics

Computational biologists at Carnegie Mellon University have devised a software tool that can play a high-speed “Match Game” to identify bioactive molecules and the microbial genes that produce them so they can be evaluated as possible antibiotics and other therapeutic agents.


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Source: Phys.org