Literature DB >> 30097342

Review on biomimetic affinity chromatography with short peptide ligands and its application to protein purification.

Yu-Ming Fang1, Dong-Qiang Lin1, Shan-Jing Yao2.   

Abstract

Biomimetic affinity chromatography with short peptide ligands, as a promising bioseparation technique, has great potential to protein separation and purification, which is based on highly specific biological interactions between specially-designed ligands and target proteins. Generally, short peptide ligands with the chain length ranging from two to nine amino acids could be divided into two types, linear peptide ligands and cyclic peptide ligands. To obtain the desired short peptide ligands, rational design strategies could be applied by knowing the 3-dimensional (3D) information of the receptors or just knowing the surface cavities and the active site of the receptors. Subsequently, several technologies could be used to screen the optimal peptide ligands from the designed peptide ligands, such as combinatorial chemistry, phage display, mRNA display and computer-based screening technology. The screening efficiency is dependent on the different technology for individual target proteins. After screening, the chromatographic resin could be prepared by coupling the optimal short peptide ligand onto a matrix with some spacer arms. The suitable matrix and spacer arms are also important to enhance the ability of the peptide ligand for protein purification. With the advantages of high affinity, high adsorption capacity, structural stability, low immunogenicity and low cost, biomimetic affinity chromatography with short peptides as the functional ligands have shown an extensive development and application potentiality to protein purification. In this review, we focused on the strategies of rational designs and screening for short peptide ligands, and some items on the perpetration of new resins and their applications for protein purification would also be discussed.
Copyright © 2018 Elsevier B.V. All rights reserved.

Keywords:  Biomimetic affinity chromatography; Protein purification; Rational design; Resin; Screening technologies; Short peptide ligand

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Year:  2018        PMID: 30097342     DOI: 10.1016/j.chroma.2018.07.082

Source DB:  PubMed          Journal:  J Chromatogr A        ISSN: 0021-9673            Impact factor:   4.759


  7 in total

1.  Integrated System for Purification and Assembly of PCV Cap Nano Vaccine Based on Targeting Peptide Ligand.

Authors:  Fangyu Wang; Junfang Hao; Ning Li; Guangxu Xing; Man Hu; Gaiping Zhang
Journal:  Int J Nanomedicine       Date:  2020-10-30

Review 2.  Advances in Biomimetic Systems for Molecular Recognition and Biosensing.

Authors:  Yeşeren Saylan; Özgecan Erdem; Fatih Inci; Adil Denizli
Journal:  Biomimetics (Basel)       Date:  2020-05-12

3.  Phage-Display-Derived Peptide Specific to Carbamylated Protein.

Authors:  Yuhao Ma; Meng Wu; Shuhui Li; Marcello Tonelli; Larry D Unsworth
Journal:  ACS Omega       Date:  2021-01-25

Review 4.  Non-small molecule PROTACs (NSM-PROTACs): Protein degradation kaleidoscope.

Authors:  Sinan Ma; Jianai Ji; Yuanyuan Tong; Yuxuan Zhu; Junwei Dou; Xian Zhang; Shicheng Xu; Tianbao Zhu; Xiaoli Xu; Qidong You; Zhengyu Jiang
Journal:  Acta Pharm Sin B       Date:  2022-02-26       Impact factor: 14.903

Review 5.  Inspirations of Biomimetic Affinity Ligands: A Review.

Authors:  Aykut Arif Topçu; Seçkin Kılıç; Erdoğan Özgür; Deniz Türkmen; Adil Denizli
Journal:  ACS Omega       Date:  2022-09-09

6.  Design and preliminary application of affinity peptide based on the structure of the porcine circovirus type II Capsid (PCV2 Cap).

Authors:  Junfang Hao; Fangyu Wang; Guangxu Xing; Yunchao Liu; Ruiguang Deng; Hao Zhang; Anchun Cheng; Gaiping Zhang
Journal:  PeerJ       Date:  2019-12-05       Impact factor: 2.984

7.  DPL: a comprehensive database on sequences, structures, sources and functions of peptide ligands.

Authors:  Fangyu Wang; Ning Li; Chunfeng Wang; Guangxu Xing; Shuai Cao; Qian Xu; Yunshang Zhang; Man Hu; Gaiping Zhang
Journal:  Database (Oxford)       Date:  2020-11-20       Impact factor: 3.451

  7 in total

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