ArticleBiophysical journal2020
A Global Minimization Toolkit for Batch-Fitting and χ
Article in Biophysical journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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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.
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Who cites it
5 citing papers in PubMed.
- Review
- Interfacial dynamics mediate surface binding events on supramolecular nanostructures.Nature communications · 2024Article
- Domain-selective thermal decomposition within supramolecular nanoribbons.Nature communications · 2021Article
- Emerging investigator series: Aramid amphiphile nanoribbons for the remediation of lead from contaminated water.Environmental science. Nano · 2021Article
- Self-assembly of aramid amphiphiles into ultra-stable nanoribbons and aligned nanoribbon threads.Nature nanotechnology · 2021Article
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Electron paramagnetic resonance spectroscopy (EPR) is a uniquely powerful technique for characterizing conformational dynamics at specific sites within a broad range of molecular species in water. Computational tools for fitting EPR spectra have enabled dynamics parameters to be determined quantitatively. These tools have dramatically broadened the capabilities of EPR dynamics analysis, however, their implementation can easily lead to overfitting or problems with self-consistency. As a result, dynamics parameters and associated properties become difficult to reliably determine, particularly in the slow-motion regime. Here, we present an EPR analysis strategy and the corresponding computational tool for batch-fitting EPR spectra and cluster analysis of the χ
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