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ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2023
License: CC BY
Data sources: ZENODO
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ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
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https://doi.org/10.5281/zenodo...
Dataset . 2023
License: CC BY
Data sources: Sygma
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Claim

Combining Solid-State NMR with Structural and Biophysical Techniques to Design Challenging Protein-Drug Conjugates

Research datakeyboard_double_arrow_right Dataset 20 Jun 2023 English Publisher:ZenodoFunded by:EC | PANACEA, EC | Fragment-Screen, EC | iNEXT-Discovery +2 projects
Authors: Cerofolini, Linda; Vasa, Kristian; Bianconi, Elisa; Salobehaj Maria; Cappelli, Giulia; Bonciani, Alice; Licciardi, Giulia; +12 Authors

doi: 10.5281/zenodo.8020132 , 10.5281/zenodo.8020131

Combining Solid-State NMR with Structural and Biophysical Techniques to Design Challenging Protein-Drug Conjugates

Abstract

Solid-state NMR spectra (DARR and NCA) of rehydrated freeze-dried free TTR and TTR in the presence of Tafamidis and Taf-PTX Reference citation: Combining Solid-State NMR with Structural and Biophysical Techniques to Design Challenging Protein-Drug Conjugates. Angew Chem Int Ed Engl. 2023 Jun 5:e202303202. doi: 10.1002/anie.202303202. PMID: 37276329.

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Keywords

Structural Biology, Drug Design, Protein-Drug Conjugates, SSNMR, Drug Delivery, TTR

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
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