Cargando…
Application of molecular dynamics simulation in self-assembled cancer nanomedicine
Self-assembled nanomedicine holds great potential in cancer theragnostic. The structures and dynamics of nanomedicine can be affected by a variety of non-covalent interactions, so it is essential to ensure the self-assembly process at atomic level. Molecular dynamics (MD) simulation is a key technol...
Autores principales: | , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10161522/ https://www.ncbi.nlm.nih.gov/pubmed/37143168 http://dx.doi.org/10.1186/s40824-023-00386-7 |
_version_ | 1785037511686356992 |
---|---|
author | Xu, Xueli Liu, Ao Liu, Shuangqing Ma, Yanling Zhang, Xinyu Zhang, Meng Zhao, Jinhua Sun, Shuo Sun, Xiao |
author_facet | Xu, Xueli Liu, Ao Liu, Shuangqing Ma, Yanling Zhang, Xinyu Zhang, Meng Zhao, Jinhua Sun, Shuo Sun, Xiao |
author_sort | Xu, Xueli |
collection | PubMed |
description | Self-assembled nanomedicine holds great potential in cancer theragnostic. The structures and dynamics of nanomedicine can be affected by a variety of non-covalent interactions, so it is essential to ensure the self-assembly process at atomic level. Molecular dynamics (MD) simulation is a key technology to link microcosm and macroscale. Along with the rapid development of computational power and simulation methods, scientists could simulate the specific process of intermolecular interactions. Thus, some experimental observations could be explained at microscopic level and the nanomedicine synthesis process would have traces to follow. This review not only outlines the concept, basic principle, and the parameter setting of MD simulation, but also highlights the recent progress in MD simulation for self-assembled cancer nanomedicine. In addition, the physicochemical parameters of self-assembly structure and interaction between various assembled molecules under MD simulation are also discussed. Therefore, this review will help advanced and novice researchers to quickly zoom in on fundamental information and gather some thought-provoking ideas to advance this subfield of self-assembled cancer nanomedicine. |
format | Online Article Text |
id | pubmed-10161522 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-101615222023-05-06 Application of molecular dynamics simulation in self-assembled cancer nanomedicine Xu, Xueli Liu, Ao Liu, Shuangqing Ma, Yanling Zhang, Xinyu Zhang, Meng Zhao, Jinhua Sun, Shuo Sun, Xiao Biomater Res Review Self-assembled nanomedicine holds great potential in cancer theragnostic. The structures and dynamics of nanomedicine can be affected by a variety of non-covalent interactions, so it is essential to ensure the self-assembly process at atomic level. Molecular dynamics (MD) simulation is a key technology to link microcosm and macroscale. Along with the rapid development of computational power and simulation methods, scientists could simulate the specific process of intermolecular interactions. Thus, some experimental observations could be explained at microscopic level and the nanomedicine synthesis process would have traces to follow. This review not only outlines the concept, basic principle, and the parameter setting of MD simulation, but also highlights the recent progress in MD simulation for self-assembled cancer nanomedicine. In addition, the physicochemical parameters of self-assembly structure and interaction between various assembled molecules under MD simulation are also discussed. Therefore, this review will help advanced and novice researchers to quickly zoom in on fundamental information and gather some thought-provoking ideas to advance this subfield of self-assembled cancer nanomedicine. BioMed Central 2023-05-04 /pmc/articles/PMC10161522/ /pubmed/37143168 http://dx.doi.org/10.1186/s40824-023-00386-7 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Review Xu, Xueli Liu, Ao Liu, Shuangqing Ma, Yanling Zhang, Xinyu Zhang, Meng Zhao, Jinhua Sun, Shuo Sun, Xiao Application of molecular dynamics simulation in self-assembled cancer nanomedicine |
title | Application of molecular dynamics simulation in self-assembled cancer nanomedicine |
title_full | Application of molecular dynamics simulation in self-assembled cancer nanomedicine |
title_fullStr | Application of molecular dynamics simulation in self-assembled cancer nanomedicine |
title_full_unstemmed | Application of molecular dynamics simulation in self-assembled cancer nanomedicine |
title_short | Application of molecular dynamics simulation in self-assembled cancer nanomedicine |
title_sort | application of molecular dynamics simulation in self-assembled cancer nanomedicine |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10161522/ https://www.ncbi.nlm.nih.gov/pubmed/37143168 http://dx.doi.org/10.1186/s40824-023-00386-7 |
work_keys_str_mv | AT xuxueli applicationofmoleculardynamicssimulationinselfassembledcancernanomedicine AT liuao applicationofmoleculardynamicssimulationinselfassembledcancernanomedicine AT liushuangqing applicationofmoleculardynamicssimulationinselfassembledcancernanomedicine AT mayanling applicationofmoleculardynamicssimulationinselfassembledcancernanomedicine AT zhangxinyu applicationofmoleculardynamicssimulationinselfassembledcancernanomedicine AT zhangmeng applicationofmoleculardynamicssimulationinselfassembledcancernanomedicine AT zhaojinhua applicationofmoleculardynamicssimulationinselfassembledcancernanomedicine AT sunshuo applicationofmoleculardynamicssimulationinselfassembledcancernanomedicine AT sunxiao applicationofmoleculardynamicssimulationinselfassembledcancernanomedicine |