Computational approaches for understanding and predicting the self-assembled peptide hydrogels
文献类型：期刊论文
| 作者 | Zhou, Peng; Yuan, Chengqian; Yan, Xuehai |
| 刊名 | CURRENT OPINION IN COLLOID & INTERFACE SCIENCE
 |
| 出版日期 | 2022-12-01 |
| 卷号 | 62页码:12 |
| ISSN号 | 1359-0294 |
| DOI | 10.1016/j.cocis.2022.101645 |
| 英文摘要 | Self-assembled peptide hydrogel is a promising biomaterial and has been widely applied in many fields. As a typical selfassembly material, peptide hydrogel exhibits properties different from traditional polymer hydrogel, and has unique features in molecular design, structural elements of hydrogel, and control strategies. With the desire to apply the principles of self-assembly to the design and prediction of peptide hydrogels, there has more and more emphasis on understanding the driving forces and microscopic behaviors involved in the selfassembly process. Computational methods have played an increasingly important role in recent research in helping to reveal the relationship between molecular chemical structure and self-assembly processes as well as assembled morphologies, thus determining the ability of supramolecular gelation. This review aims to summarize the application of computational tools to obtain a better fundamental understanding of the multi-scale structural details of self-assembled peptide hydrogels and to predict the gelation behavior of supramolecular nanofibers. It is expected that researchers will consider using these computational tools when investigating and designing novel peptide hydrogel materials. |
| WOS关键词 | MOLECULAR SIMULATIONS ; GELATION ; FIBRILS ; GEL ; ORGANIZATION ; SPECTRA |
| 资助项目 | National Science Fund for Distinguished Young Scholars of China[22025207] ; Innovation Research Community Science Fund[21821005] ; National Natural Science Foundation of China[51904322] ; National Natural Science Foundation of China[22172172] ; National Natural Science Foundation of China[22102187] ; Chinese Postdoctoral Science Foundation[2021M693205] ; Youth Innovation Promotion Association of CAS[2022049] ; Natural Science Foundation of Hebei Province[B2020103036] |
| WOS研究方向 | Chemistry |
| 语种 | 英语 |
| WOS记录号 | WOS:000919612100006 |
| 出版者 | ELSEVIER SCIENCE LONDON |
| 资助机构 | National Science Fund for Distinguished Young Scholars of China ; Innovation Research Community Science Fund ; National Natural Science Foundation of China ; Chinese Postdoctoral Science Foundation ; Youth Innovation Promotion Association of CAS ; Natural Science Foundation of Hebei Province |
| 源URL | [http://ir.ipe.ac.cn/handle/122111/56961]  |
| 通讯作者 | Yan, Xuehai |
| 作者单位 | Chinese Acad Sci, Inst Proc Engn, State Key Lab Biochem Engn, Beijing 100190, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zhou, Peng,Yuan, Chengqian,Yan, Xuehai. Computational approaches for understanding and predicting the self-assembled peptide hydrogels[J]. CURRENT OPINION IN COLLOID & INTERFACE SCIENCE,2022,62:12. |
| APA | Zhou, Peng,Yuan, Chengqian,&Yan, Xuehai.(2022).Computational approaches for understanding and predicting the self-assembled peptide hydrogels.CURRENT OPINION IN COLLOID & INTERFACE SCIENCE,62,12. |
| MLA | Zhou, Peng,et al."Computational approaches for understanding and predicting the self-assembled peptide hydrogels".CURRENT OPINION IN COLLOID & INTERFACE SCIENCE 62(2022):12. |
入库方式： OAI收割
来源：过程工程研究所
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