Publicação
Quantifying small-molecule association with lipid membranes: Methods, models, and limitations
| datacite.subject.sdg | 03:Saúde de Qualidade | |
| datacite.subject.sdg | 09:Indústria, Inovação e Infraestruturas | |
| datacite.subject.sdg | 04:Educação de Qualidade | |
| dc.contributor.author | Moreno, Maria João | |
| dc.contributor.author | Cordeiro, Margarida M. | |
| dc.contributor.author | Filipe, Hugo A. L. | |
| dc.contributor.author | Oliveira, Alexandre C. | |
| dc.contributor.author | Pires, Cristiana L. | |
| dc.contributor.author | Ramos, Cristiana V. | |
| dc.contributor.author | Samelo, Jaime | |
| dc.contributor.author | Martins, Jorge | |
| dc.contributor.author | Loura, Luís M. S. | |
| dc.date.accessioned | 2026-07-02T12:35:55Z | |
| dc.date.available | 2026-07-02T12:35:55Z | |
| dc.date.issued | 2026-06-26 | |
| dc.description.abstract | The association of small molecules with lipid membranes plays a central role in drug delivery, pharmacokinetics, toxicity, and membrane biophysics, also being of fundamental importance in drug pharmacodynamics given that most drug targets are membrane-associated proteins. Accurate determination of solute–membrane association affinities, however, remains challenging due to the diversity of experimental systems, the complexity of membrane environments, and the intrinsic limitations of individual methodologies. This review provides a comprehensive overview of the experimental and computational approaches currently used to quantify small molecule association with lipid membranes. Standard experimental techniques, including spectroscopy-based methods, calorimetry, electrophoretic measurements, and surface-sensitive approaches, are discussed alongside established computational strategies ranging from continuum models to atomistic molecular dynamics simulations. Particular emphasis is placed on the formalisms required for data analysis, including partitioning models and thermodynamic frameworks, as well as on the assumptions underlying each method. The validity limits, sources of uncertainty, and common experimental and interpretative pitfalls are critically examined. By providing a unified and comparative perspective, this work establishes a structured framework for the quantitative study of solute–membrane interactions, guiding new researchers in the selection of appropriate methodologies and in the rigorous analysis of experimental and computational results. Moreover, it enables the consistent and quantitative rationalization of affinity parameters reported across the literature, supporting the development of curated datasets and predictive relationships that can inform the design of new and more effective drugs. | eng |
| dc.description.sponsorship | UID/PRR/00313/2025; IN1511-COMPETE2023-FEDER00834200_DrugPPerm; SFRH/BD/120934/2016; UID/06407/2025; UID/PRR/06407/2025, and UID/PRR2/06407/2025 | |
| dc.identifier.doi | 10.3390/membranes16070218 | |
| dc.identifier.issn | 2077-0375 | |
| dc.identifier.uri | http://hdl.handle.net/10400.1/29199 | |
| dc.language.iso | eng | |
| dc.peerreviewed | yes | |
| dc.publisher | MDPI | |
| dc.relation | Institute of Molecular Sciences | |
| dc.relation.ispartof | Membranes | |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | |
| dc.subject | Biomembranes | |
| dc.subject | Partition coefficient | |
| dc.subject | Drug–membrane association | |
| dc.subject | Drug design | |
| dc.title | Quantifying small-molecule association with lipid membranes: Methods, models, and limitations | eng |
| dc.type | journal article | |
| dspace.entity.type | Publication | |
| oaire.awardNumber | LA/P/0056/2020 | |
| oaire.awardTitle | Institute of Molecular Sciences | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/LA%2FP%2F0056%2F2020/PT | |
| oaire.citation.issue | 7 | |
| oaire.citation.startPage | 218 | |
| oaire.citation.title | Membranes | |
| oaire.citation.volume | 16 | |
| oaire.fundingStream | 6817 - DCRRNI ID | |
| oaire.version | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |
| person.familyName | Martins | |
| person.givenName | Jorge | |
| person.identifier.ciencia-id | 8516-F285-FB5D | |
| person.identifier.orcid | 0000-0001-5460-1969 | |
| person.identifier.rid | M-6234-2013 | |
| person.identifier.scopus-author-id | 7201798828 | |
| project.funder.identifier | http://doi.org/10.13039/501100001871 | |
| project.funder.name | Fundação para a Ciência e a Tecnologia | |
| relation.isAuthorOfPublication | 1671e2f3-b61c-426e-8d31-0ebb770673ad | |
| relation.isAuthorOfPublication.latestForDiscovery | 1671e2f3-b61c-426e-8d31-0ebb770673ad | |
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