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抗菌肽的人工分子进化。

Synthetic molecular evolution of antimicrobial peptides.

机构信息

Synthetic Biology Center, Massachusetts Institute of Technology (MIT), Cambridge, MA 02139, USA; Synthetic Biology Group, Research Laboratory of Electronics, Massachusetts Institute of Technology (MIT), Cambridge, MA 02139, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.

Synthetic Biology Center, Massachusetts Institute of Technology (MIT), Cambridge, MA 02139, USA; Synthetic Biology Group, Research Laboratory of Electronics, Massachusetts Institute of Technology (MIT), Cambridge, MA 02139, USA; Simons Machine Learning Center, New York Structural Biology Center, New York, NY 10027, USA.

出版信息

Curr Opin Biotechnol. 2022 Jun;75:102718. doi: 10.1016/j.copbio.2022.102718. Epub 2022 Apr 5.

Abstract

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.

摘要

随着我们对肽结构和活性之间的关系了解得越来越多,我们预计抗菌肽将被设计成具有强大的效力和独特的功能,而合成肽将有新的生物医学应用,例如用于治疗新出现的传染病。由于可能的氨基酸序列数量巨大,并且抗菌肽测定的高通量性质,因此需要用于肽设计和优化的计算工具,以便直接进行获得功能序列的实验。计算工具的最新发展改进了肽设计,节省了劳动力、试剂、成本和时间。同时,肽合成和实验平台的改进继续降低了肽药物筛选的成本并提高了其通量。在这篇综述中,我们讨论了当前的肽设计和工程方法,包括计算机方法和肽合成和筛选,并强调了潜在改进的领域。

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