肽
生物信息学
计算生物学
抗菌剂
抗菌肽
组合化学
计算机科学
生化工程
生物
化学
生物化学
工程类
微生物学
基因
作者
Charles H. Chen,Tristan Bepler,Karen Pepper,Debbie Fu,Timothy K. Lu
标识
DOI:10.1016/j.copbio.2022.102718
摘要
As we learn more about how peptide structure and activity are related, we anticipate that antimicrobial peptides will be engineered to have strong potency and distinct functions and that synthetic peptides will have new biomedical applications, such as treatments for emerging infectious diseases. As a result of the enormous number of possible amino acid sequences and the low-throughput nature of antimicrobial peptide assays, computational tools for peptide design and optimization are needed for direct experimentation toward obtaining functional sequences. Recent developments in computational tools have improved peptide design, saving labor, reagents, costs, and time. At the same time, improvements in peptide synthesis and experimental platforms continue to reduce the cost and increase the throughput of peptide-drug screening. In this review, we discuss the current methods of peptide design and engineering, including in silico methods and peptide synthesis and screening, and highlight areas of potential improvement.
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