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REGALS: a general method to deconvolve X-ray scattering data from evolving mixtures

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.12.06.413997Source: DataRank Database

REGALS: a general method to deconvolve X-ray scattering data from evolving mixtures is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2020). On theSindex it has a DataRank of 0. It has been cited 1 time.

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Open Access1 citations

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (2 grants)OA: greenTopics (30)IDs (PubMed, OpenAlex)SDGs (1)

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Open Access

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Authors (3)

Da Xu ORCID,Nozomi Ando ORCID,Steve P. Meisburger ORCID

Live enrichment

PubMed:21097893 OpenAlex:https://openalex.org/W3111176459

National Institutes of Health

Grant: 2R35GM124847-06

Protein Allostery and Catalysis Beyond Bragg Diffraction

National Science Foundation

Grant: 1942668

CAREER: Correlated Motions in Protein Allostery

greenLicense: cc-by-nc-nd

repositoryhttps://www.biorxiv.org/content/biorxiv/early/2020/12/07/2020.12.06.413997.full.pdf

publisherhttps://syndication.highwire.org/content/doi/10.1101/2020.12.06.413997

repositoryhttps://doi.org/10.1101/2020.12.06.413997

https://doi.org/10.1107/s2052252521000555

Fields of Study

Protein Structure and DynamicsMetabolomics and Mass Spectrometry StudiesEnzyme Structure and Function0301 basic medicine0303 health sciences03 medical and health sciences

Keywords

DeconvolutionSmall-angle X-ray scatteringA priori and a posterioriComputer sciencePython (programming language)MATLABScatteringSoftwareBiological systemAlgorithmComputational sciencePhysicsOpticsCrystallographyaex-saxsligand titrationsingular value decompositionpair-distance distribution functionmultivariate curve resolutionResearch Paperstime-resolved saxsregularized alternating least squaresQD901-999high-throughput saxs

Sustainable Development Goals

SDG 13: 13. Climate action