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灾难性选择:硬币的另一面。

Catastrophic selection: the other side of the coin.

机构信息

SaBio, Instituto de Investigación en Recursos Cinegéticos (IREC), Consejo Superior de Investigaciones Científicas (CSIC), Universidad de Castilla-La Mancha (UCLM)-Junta de Comunidades de Castilla-La Mancha (JCCM), Ciudad Real, Spain.

Department of Veterinary Pathobiology, Center for Veterinary Health Sciences, OK State University, Stillwater, OK, USA.

出版信息

Ann Med. 2024 Dec;56(1):2391014. doi: 10.1080/07853890.2024.2391014. Epub 2024 Aug 14.

Abstract

Recently, a machine learning molecular de-extinction paleoproteomic approach was used to recover inactivated antimicrobial peptides to overcome the challenges posed by antibiotic-resistant pathogens. The authors showed the possibility of identifying lost molecules with antibacterial capacity, but the other side of the coin associated with catastrophic selection should be considered for the development of new pharmaceuticals.

摘要

最近,一种机器学习的分子灭绝古蛋白组学方法被用于恢复失活的抗菌肽,以克服抗生素耐药病原体带来的挑战。作者展示了识别具有抗菌能力的丢失分子的可能性,但为了开发新的药物,也应该考虑与灾难性选择相关的另一面。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5dac/11328594/6e2cc4197db4/IANN_A_2391014_F0001_C.jpg

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