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Advanced Computational Approaches in Molecular Imprinting: Modeling Templates and in Silico Design of MIPs
Kiel University, Germany.
Linnaeus University, Faculty of Health and Life Sciences, Department of Chemistry and Biomedical Sciences. Linnaeus University, Linnaeus Knowledge Environments, Advanced Materials. (Lnuc BMC)ORCID iD: 0000-0002-0407-6542
Kiel University, Germany.
2025 (English)In: Molecularly Imprinted Polymers / [ed] Zeynep Altintas, Springer, 2025, p. 129-165Chapter in book (Refereed)
Abstract [en]

Theoretical treatments have been widely used over recent years for the investigation and development of molecularly imprinted materials, in particular for improving our understanding of the molecular mechanisms underlying the nature of the recognition events involved in the synthesis of MIPs and of MIP–ligand interactions. This chapter aims to present the different types of theory-based calculations—from quantum mechanical (QM) to semiempirical methods, followed by classical molecular dynamics (MD). The first section introduces the advantages and disadvantages imposed by each method, the second focuses on QM and MD techniques, alongside hybrid approaches for template optimization, while the third part outlines the optimization/investigation methods used for functional monomer selection. The T-FM interactions with cross-linking and porogenic agents are also considered. The final part of the chapter is focused on additional computational approaches for studying MIP systems, including binding energy calculations, structural and dynamical measurements, multivariate descriptors, and chemometric models. Finally, general conclusions and future prospects for the use of theoretical methods in the study and development of MIPs are presented.

Place, publisher, year, edition, pages
Springer, 2025. p. 129-165
Series
Springer Series on Polymer and Composite Materials, ISSN 2364-1878, E-ISSN 2364-1886
National Category
Biochemistry Molecular Biology
Research subject
Chemistry, Biochemistry
Identifiers
URN: urn:nbn:se:lnu:diva-133291DOI: 10.1007/978-3-031-67368-9_5ISBN: 9783031673672 (print)ISBN: 9783031673702 (print)ISBN: 9783031673689 (electronic)OAI: oai:DiVA.org:lnu-133291DiVA, id: diva2:1912010
Available from: 2024-11-11 Created: 2024-11-11 Last updated: 2026-04-16Bibliographically approved

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Nicholls, Ian A.

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CiteExportLink to record
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