Anand Badrivishal Mundada, Pankaj Pradhan, Rajapandi Raju, Y Sarah Sujitha, Parag Arun Kulkarni, Pooja Anand Mundada, Ruchi Tiwari, Pankaj Sharma
{"title":"Molecular dynamics in pharmaceutical nanotechnology: simulating interactions and advancing applications.","authors":"Anand Badrivishal Mundada, Pankaj Pradhan, Rajapandi Raju, Y Sarah Sujitha, Parag Arun Kulkarni, Pooja Anand Mundada, Ruchi Tiwari, Pankaj Sharma","doi":"10.1080/09205063.2025.2450150","DOIUrl":null,"url":null,"abstract":"<p><p>Molecular Dynamics (MD) simulations are now widely utilized in pharmaceutical nanotechnology to gain deeper understanding of nanoscale processes imperative to drug design. This review has also detailed how MD simulation can be employed in the study of drug-nanocarrier interactions, controlling release of chemical compounds from drug delivery systems and increasing solubility and bioavailability of nanocarriers. Furthermore, MD contributes to examining the drug delivery systems, measuring the toxic effects, and determining biocompatibility of nanomedical systems. With the incorporation of artificial intelligence and the use of hybrid simulation systems, MD has gone a step ahead to model other niches of biology that make a tremendous opening to develop highly selective nanomedications. Nevertheless, with well-known issues such as computational constraints and the discrepancy between in silico and experiment results, MD remains a work in progress, with considerable promise for replacing or supplementing existing approaches to the development of precision medicine and nanomedicine, the continued progression of healthcare hopeful.</p>","PeriodicalId":15195,"journal":{"name":"Journal of Biomaterials Science, Polymer Edition","volume":" ","pages":"1-27"},"PeriodicalIF":3.6000,"publicationDate":"2025-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Biomaterials Science, Polymer Edition","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1080/09205063.2025.2450150","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, BIOMEDICAL","Score":null,"Total":0}
引用次数: 0
Abstract
Molecular Dynamics (MD) simulations are now widely utilized in pharmaceutical nanotechnology to gain deeper understanding of nanoscale processes imperative to drug design. This review has also detailed how MD simulation can be employed in the study of drug-nanocarrier interactions, controlling release of chemical compounds from drug delivery systems and increasing solubility and bioavailability of nanocarriers. Furthermore, MD contributes to examining the drug delivery systems, measuring the toxic effects, and determining biocompatibility of nanomedical systems. With the incorporation of artificial intelligence and the use of hybrid simulation systems, MD has gone a step ahead to model other niches of biology that make a tremendous opening to develop highly selective nanomedications. Nevertheless, with well-known issues such as computational constraints and the discrepancy between in silico and experiment results, MD remains a work in progress, with considerable promise for replacing or supplementing existing approaches to the development of precision medicine and nanomedicine, the continued progression of healthcare hopeful.
期刊介绍:
The Journal of Biomaterials Science, Polymer Edition publishes fundamental research on the properties of polymeric biomaterials and the mechanisms of interaction between such biomaterials and living organisms, with special emphasis on the molecular and cellular levels.
The scope of the journal includes polymers for drug delivery, tissue engineering, large molecules in living organisms like DNA, proteins and more. As such, the Journal of Biomaterials Science, Polymer Edition combines biomaterials applications in biomedical, pharmaceutical and biological fields.