{"title":"约束下分子通过纳米孔的扩散:基于马尔可夫状态模型的时间尺度桥接和拥挤效应","authors":"I. Bodrenko, S. Milenkovic, M. Ceccarelli","doi":"10.1515/bmc-2022-0019","DOIUrl":null,"url":null,"abstract":"Abstract Passive transport of molecules through nanopores is characterized by the interaction of molecules with pore internal walls and by a general crowding effect due to the constricted size of the nanopore itself, which limits the presence of molecules in its interior. The molecule–pore interaction is treated within the diffusion approximation by introducing the potential of mean force and the local diffusion coefficient for a correct statistical description. The crowding effect can be handled within the Markov state model approximation. By combining the two methods, one can deal with complex free energy surfaces taking into account crowding effects. We recapitulate the equations bridging the two models to calculate passive currents assuming a limited occupancy of the nanopore in a wide range of molecular concentrations. Several simple models are analyzed to clarify the consequences of the model. Eventually, a biologically relevant case of transport of an antibiotic molecule through a bacterial porin is used to draw conclusions (i) on the effects of crowding on transport of small molecules through biological channels, and (ii) to demonstrate its importance for modelling of cellular transport.","PeriodicalId":38392,"journal":{"name":"Biomolecular Concepts","volume":"13 1","pages":"207 - 219"},"PeriodicalIF":0.0000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Diffusion of molecules through nanopores under confinement: Time-scale bridging and crowding effects via Markov state model\",\"authors\":\"I. Bodrenko, S. Milenkovic, M. Ceccarelli\",\"doi\":\"10.1515/bmc-2022-0019\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract Passive transport of molecules through nanopores is characterized by the interaction of molecules with pore internal walls and by a general crowding effect due to the constricted size of the nanopore itself, which limits the presence of molecules in its interior. The molecule–pore interaction is treated within the diffusion approximation by introducing the potential of mean force and the local diffusion coefficient for a correct statistical description. The crowding effect can be handled within the Markov state model approximation. By combining the two methods, one can deal with complex free energy surfaces taking into account crowding effects. We recapitulate the equations bridging the two models to calculate passive currents assuming a limited occupancy of the nanopore in a wide range of molecular concentrations. Several simple models are analyzed to clarify the consequences of the model. Eventually, a biologically relevant case of transport of an antibiotic molecule through a bacterial porin is used to draw conclusions (i) on the effects of crowding on transport of small molecules through biological channels, and (ii) to demonstrate its importance for modelling of cellular transport.\",\"PeriodicalId\":38392,\"journal\":{\"name\":\"Biomolecular Concepts\",\"volume\":\"13 1\",\"pages\":\"207 - 219\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Biomolecular Concepts\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1515/bmc-2022-0019\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"Biochemistry, Genetics and Molecular Biology\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biomolecular Concepts","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1515/bmc-2022-0019","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Biochemistry, Genetics and Molecular Biology","Score":null,"Total":0}
Diffusion of molecules through nanopores under confinement: Time-scale bridging and crowding effects via Markov state model
Abstract Passive transport of molecules through nanopores is characterized by the interaction of molecules with pore internal walls and by a general crowding effect due to the constricted size of the nanopore itself, which limits the presence of molecules in its interior. The molecule–pore interaction is treated within the diffusion approximation by introducing the potential of mean force and the local diffusion coefficient for a correct statistical description. The crowding effect can be handled within the Markov state model approximation. By combining the two methods, one can deal with complex free energy surfaces taking into account crowding effects. We recapitulate the equations bridging the two models to calculate passive currents assuming a limited occupancy of the nanopore in a wide range of molecular concentrations. Several simple models are analyzed to clarify the consequences of the model. Eventually, a biologically relevant case of transport of an antibiotic molecule through a bacterial porin is used to draw conclusions (i) on the effects of crowding on transport of small molecules through biological channels, and (ii) to demonstrate its importance for modelling of cellular transport.
Biomolecular ConceptsBiochemistry, Genetics and Molecular Biology-Biochemistry, Genetics and Molecular Biology (all)
CiteScore
5.30
自引率
0.00%
发文量
27
审稿时长
12 weeks
期刊介绍:
BioMolecular Concepts is a peer-reviewed open access journal fostering the integration of different fields of biomolecular research. The journal aims to provide expert summaries from prominent researchers, and conclusive extensions of research data leading to new and original, testable hypotheses. Aspects of research that can promote related fields, and lead to novel insight into biological mechanisms or potential medical applications are of special interest. Original research articles reporting new data of broad significance are also welcome. Topics: -cellular and molecular biology- genetics and epigenetics- biochemistry- structural biology- neurosciences- developmental biology- molecular medicine- pharmacology- microbiology- plant biology and biotechnology.