Toward industrial scale-up of polypeptide synthesis: analysis of monomer suitability

Author:

Zhao Xiangyin

Abstract

Abstract Polypeptide is a class of biopolymers that mimic the structure and properties of natural proteins, which makes it fitting for biological applications. The biodegradability and biocompatibility from the peptide backbones combined with the tunability from synthetic chemistry allow for long-chain polypeptides to function for drug delivery, tissue grafting, and gene therapy. Currently, long-chain polypeptides (≥100 amino acids) are not synthesized on a commercial scale (>100 kg.) Based on the potential applications, the optimization of polypeptide production should be discussed at the current stage. Since the majority of the polypeptide synthesis depends on the production of monomer and the polymerization of the monomer into polypeptides, choosing the most suitable monomer for industrial application is critical in designing a polypeptide production line. Based on an industrial standpoint, the ideal monomer should be synthesized conveniently, stored and transported easily, and polymerized efficiently. This article aims to compare and examine the four major groups of monomers used in a laboratory setting: protect amino acid, N-carboxyanhydride (NCA), N-thiocarboxyanhydride (NTA), and N-phenoxycarbonyl-functionalized α-amino acid (NPCA) based on the industrialization criteria stated above, using past experimental results. In the end, NPCA proves to be the most suitable monomer for industrial purposes. Like NCA, NPCA can be synthesized efficiently and can be polymerized into a diverse collection of polypeptides both based on conjugation and structure. Like NTA, NPCA can be synthesized and stored in an open-air environment. Still, NPCA has disadvantages in polymerization efficiency, requiring multiple days for long-chain polymers. Potentially, by increasing the leaving group conjugated to the amino acid, improvement can be made to the polymerization efficiency.

Publisher

IOP Publishing

Subject

Computer Science Applications,History,Education

Reference30 articles.

1. Synthetic polypeptides for drug and gene delivery, and tissue engineering;Yin;Advanced Drug Delivery Reviews,2021

2. Biodegradable Polysarcosine with Inserted Alanine Residues: Synthesis and Enzymolysis;Zhou;Biomacromolecules,2022

3. 4.16 - Ring-Opening Polymerization of Amino Acid N-Carboxyanhydrides;Deming;Polymer Science: A Comprehensive Reference, Elsevier,2012

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3