ArticleSmall methods2025
Characterization of Ligand Binding in Human Serum Albumin from Atomistic Energy Transfer Simulations.
Article in Small methods, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
1 citing paper in PubMed.
- Characterization of Ligand Binding in Human Serum Albumin from Atomistic Energy Transfer Simulations.Small methods · 2025Article
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Authors and funding
5 authors.
Funding
Abstract
Förster resonance energy transfer (FRET) is a key biophysical method for probing nanometer‑scale distances in biomolecular systems, but its direct application to protein-ligand complexes suffers from substantial biases due to restricted chromophore orientations and the limited validity of the point‑dipole approximation. This study introduces a protocol for identifying binding sites and characterizing ligand coordination modes in situ by combining fluorescence spectroscopy with efficient atomistic simulations based on the TrESP‑MMPol model. The protocol integrates electrostatic potential‑fitted transition charges with a polarizable classical environment, thereby overcoming the orientation and dielectric-screening assumptions inherent to Förster theory. The protocol has been applied to human serum albumin (HSA) and a library of fluorescent small molecules, including known binders of the HSA, accurately reproducing the binding sites of naproxen, carprofen, and indomethacin, and revealing novel binding scenarios for other molecules. The results show that direct comparison of experimental FRET data with atomistically simulated observables enables discrimination of plausible binding models - including the site and binding mode - and avoids systematic errors in distance estimation. The protocol is particularly attractive to examine targets with a single tryptophan, and can also be extended to other targets of interest in drug discovery via site-labelling with unnatural amino acids.
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Registered trials
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