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Scientists at MIT and the Catholic University of Brasilia say they have come up with a streamlined approach to developing antimicrobial peptides as potential drugs to fight antibiotic-resistant bacteria. Their novel strategy, which relies on a computer algorithm that mimics the natural process of evolution, has already yielded one potential drug candidate that successfully killed bacteria in mice. "We can use computers to do a lot of the work for us, as a discovery tool of new antimicrobial peptide sequences," says Cesar de la Fuente-Nunez, Ph.D., an MIT postdoc and Areces Foundation Fellow. "This computational approach is much more cost-effective and much more time-effective." Dr. De la Fuente-Nunez and Octavio Franco, a Ph.D., of the Catholic University of Brasilia and the Dom Bosco Catholic University, are the corresponding authors of the paper (“ In silico optimization of a guava antimicrobial peptide enables combinatorial exploration for peptide design ...NEXT ARTICLE
Clinical Approvals Clinical Trials Drug Approvals Drug Delivery Drug Discovery Generics Drugs Prescription Drugs In the fields of medicine, biotechnology and pharmacology, drug discovery is the process by which drugs are dis...