期刊文献+
共找到1篇文章
< 1 >
每页显示 20 50 100
PlantAMP:A fine-tuned protein large language model for plant antimicrobial peptide prediction
1
作者 Chengzhi Xie Feitong Hong +10 位作者 Yijie Wei Sijia Xie Xinwei Luo Xiaolong Li Wei Su Xueqin Xie Yuduo Hao Hao Lyu Hui Ding Huan Yang Fuying Dao 《Plant Communications》 2026年第3期21-24,共4页
Dear Editor,Plant antimicrobial peptides(PAMPs)are small bioactive molecules with broad-spectrum antimicrobial activity,low toxicity,and roles in promoting plant growth,making them promising candidates for application... Dear Editor,Plant antimicrobial peptides(PAMPs)are small bioactive molecules with broad-spectrum antimicrobial activity,low toxicity,and roles in promoting plant growth,making them promising candidates for applications in sustainable agriculture and translational medicine(Nagella et al.,2025).However,PAMP discovery is constrained by the requirement for labor-intensive wet-lab validation and by the limitations of computational AMP predictors,which often rely on handcrafted features,shallow embeddings,fixed-length sequences,or intensive computation,thereby reducing their accuracy and generalizability in realworld settings(Qin et al.,2025). 展开更多
关键词 antimicrobial peptides pamps translational medicine nagella computational prediction plant antimicrobial peptides translational medicine sustainable agriculture small bioactive molecules computational amp predictorswhich
原文传递
上一页 1 下一页 到第
使用帮助 返回顶部