
Marine Drugs, Journal Year: 2024, Volume and Issue: 22(11), P. 492 - 492
Published: Oct. 31, 2024
Members of the genus
Language: Английский
Marine Drugs, Journal Year: 2024, Volume and Issue: 22(11), P. 492 - 492
Published: Oct. 31, 2024
Members of the genus
Language: Английский
iMeta, Journal Year: 2024, Volume and Issue: 3(6)
Published: Oct. 17, 2024
Antimicrobial peptides (AMPs) have become a viable source of novel antibiotics that are effective against human pathogenic bacteria. In this study, we construct bank culturable marine biofilm bacteria constituting 713 strains and their nearly complete genomes predict AMPs using ribosome profiling deep learning. Compared with previous approaches, has improved the identification validation small open reading frames (sORFs) for AMP prediction. Among 80,430 expressed sORFs, 341 identified as candidate high probability. Most potential less than 40% similarity in amino acid sequence compared to those listed public databases. Furthermore, these associated bacterial groups not previously known produce AMPs. Therefore, our learning model acquired characteristics unfamiliar Chemical synthesis 60 sequences yields 54 compounds antimicrobial activity, including potent inhibitory effects on various drug-resistant pathogens. This study extends range by investigating microbiomes approach, accelerating discovery.
Language: Английский
Citations
3Marine Drugs, Journal Year: 2024, Volume and Issue: 22(11), P. 492 - 492
Published: Oct. 31, 2024
Members of the genus
Language: Английский
Citations
0