Deep Learning with Evolutionary Scale Modeling to discover Antibiotic-Resistance Drug against Klebsiella Pneumoniae

The development of effective antibiotics is crucial in combating antibiotic-resistant pathogens such as Klebsiella pneumoniae (KP). This study utilizes deep learning, specifically Evolutionary Scale Modeling (ESM), to identify potential drug candidates. By analyzing molecular similarities between kn...

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Bibliographic Details
Published inbioRxiv
Main Authors Jin, Linxiao, Lei, Zhihao, Lin, Peng, Ma, Cong, Zhang, Wen, Zhou, Jiali, Meng, Sijun, Jiang, Zhenghua, Bu, Yemei, Xu, Yingfan, Nijun Wei, Hsu, Tsehao, Qin, Glen, Qiu, Hesong
Format Paper
LanguageEnglish
Published Cold Spring Harbor Cold Spring Harbor Laboratory Press 11.11.2024
Subjects
Antibiotic resistance
Antibiotics
Clinical trials
Deep learning
Drug development
Drug discovery
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Summary:The development of effective antibiotics is crucial in combating antibiotic-resistant pathogens such as Klebsiella pneumoniae (KP). This study utilizes deep learning, specifically Evolutionary Scale Modeling (ESM), to identify potential drug candidates. By analyzing molecular similarities between known drugs and KP strains, we aim to accelerate the discovery of new treatments and reduce the risks associated with clinical trials. This approach may shed new lights in the field of drug repositioning.Competing Interest StatementThe authors have declared no competing interest.
DOI:10.1101/2024.11.09.622818