{"title":"Exploring 2D Graphene-Based Nanomaterials for Biomedical Applications: A Theoretical Modeling Perspective.","authors":"Alexa Kamboukos, Nevena Todorova, Irene Yarovsky","doi":"10.1002/smsc.202400505","DOIUrl":null,"url":null,"abstract":"<p><p>Two-dimensional (2D) graphene-based nanomaterials (GNMs) have shown potential in biomedical applications, including diagnostics, therapeutics, and drug delivery, due to their unique combination of properties such as mechanical strength, excellent electrical and thermal conductivity as well as high adsorption capacity which, combined with the ease of their surface functionalization, enable biocompatibility and bioactivity. Theoretical molecular modeling can advance our understanding of the biomedical potential of 2D graphene-based nanomaterials by providing insights into the structure, dynamics, and interactions of these nanomaterials with biological systems, at the level of detail that experiments alone cannot currently access. This perspective highlights recent computational modeling advances and challenges in examining the interactions of 2D graphene-based nanomaterials with physiologically relevant biomolecular systems, including aqueous solutions, peptides, proteins, nucleic acids, lipid membranes, and pharmaceutical drug molecules. Examples of the theoretical contributions to design of graphene-based biomaterials and devices are also provided.</p>","PeriodicalId":29791,"journal":{"name":"Small Science","volume":"5 6","pages":"2400505"},"PeriodicalIF":8.3000,"publicationDate":"2025-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12168629/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Small Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1002/smsc.202400505","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/6/1 0:00:00","PubModel":"eCollection","JCR":"Q1","JCRName":"MATERIALS SCIENCE, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
Two-dimensional (2D) graphene-based nanomaterials (GNMs) have shown potential in biomedical applications, including diagnostics, therapeutics, and drug delivery, due to their unique combination of properties such as mechanical strength, excellent electrical and thermal conductivity as well as high adsorption capacity which, combined with the ease of their surface functionalization, enable biocompatibility and bioactivity. Theoretical molecular modeling can advance our understanding of the biomedical potential of 2D graphene-based nanomaterials by providing insights into the structure, dynamics, and interactions of these nanomaterials with biological systems, at the level of detail that experiments alone cannot currently access. This perspective highlights recent computational modeling advances and challenges in examining the interactions of 2D graphene-based nanomaterials with physiologically relevant biomolecular systems, including aqueous solutions, peptides, proteins, nucleic acids, lipid membranes, and pharmaceutical drug molecules. Examples of the theoretical contributions to design of graphene-based biomaterials and devices are also provided.
期刊介绍:
Small Science is a premium multidisciplinary open access journal dedicated to publishing impactful research from all areas of nanoscience and nanotechnology. It features interdisciplinary original research and focused review articles on relevant topics. The journal covers design, characterization, mechanism, technology, and application of micro-/nanoscale structures and systems in various fields including physics, chemistry, materials science, engineering, environmental science, life science, biology, and medicine. It welcomes innovative interdisciplinary research and its readership includes professionals from academia and industry in fields such as chemistry, physics, materials science, biology, engineering, and environmental and analytical science. Small Science is indexed and abstracted in CAS, DOAJ, Clarivate Analytics, ProQuest Central, Publicly Available Content Database, Science Database, SCOPUS, and Web of Science.