Evidence map›Paper›PMID 32559250›Full record

ArticlePLoS computational biology2020

Moving analytical ultracentrifugation software to a good manufacturing practices (GMP) environment.

Alexey Savelyev, Gary E Gorbet, Amy Henrickson, Borries Demeler

Abstract read
In one paragraph

Article in PLoS computational biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
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  9. An automated interface for sedimentation velocity analysis in SEDFIT.bioRxiv : the preprint server for biology · 2023
    Article
  10. Article
  11. DNA supercoiling-induced shapes alter minicircle hydrodynamic properties.bioRxiv : the preprint server for biology · 2023
    Article
  12. Article
  13. Review
  14. Review
  15. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Alexey SavelyevUniversity of Montana, Dept. of Chemistry, Missoula, Montana, United States of America.
Gary E GorbetAUC Solutions, Houston, Texas, United States of America.ORCID 0000-0002-3177-3773
Amy HenricksonUniversity of Lethbridge, Dept. of Chemistry and Biochemistry, Lethbridge, Alberta, Canada.ORCID 0000-0003-3266-5202
Borries DemelerUniversity of Montana, Dept. of Chemistry, Missoula, Montana, United States of America.ORCID 0000-0002-2414-9518

Funding

Development of an UltraScan Meta-Scheduler for HPC Job SubmissionR01GM120600 · NIGMS · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI Emre H. Brookes, BORRIES DEMELER · 2016 to 2026
$3.6M
CIHR FDN 148469NIGMS NIH HHS R01 GM120600
6 · The paper itself

Abstract

Recent advances in instrumentation have moved analytical ultracentrifugation (AUC) closer to a possible validation in a Good Manufacturing Practices (GMP) environment. In order for AUC to be validated for a GMP environment, stringent requirements need to be satisfied; analysis procedures must be evaluated for consistency and reproducibility, and GMP capable data acquisition software needs to be developed and validated. These requirements extend to multiple regulatory aspects, covering documentation of instrument hardware functionality, data handling and software for data acquisition and data analysis, process control, audit trails and automation. Here we review the requirements for GMP validation of data acquisition software and illustrate software solutions based on UltraScan that address these requirements as far as they relate to the operation and data handling in conjunction with the latest analytical ultracentrifuge, the Optima AUC by Beckman Coulter. The software targets the needs of regulatory agencies, where AUC plays a critical role in the solution-based characterization of biopolymers and macromolecular assemblies. Biopharmaceutical and regulatory agencies rely heavily on this technique for characterizations of pharmaceutical formulations, biosimilars, injectables, nanoparticles, and other soluble therapeutics. Because of its resolving power, AUC is a favorite application, despite the current lack of GMP validation. We believe that recent advances in standards, hardware, and software presented in this work manage to bridge this gap and allow AUC to be routinely used in a GMP environment. AUC has great potential to provide more detailed information, at higher resolution, and with greater confidence than other analytical techniques, and our software satisfies an urgent need for AUC operation in the GMP environment. The software, including documentation, are publicly available for free download from Github. The multi-platform software is licensed by the LGPL v.3 open source license and supports Windows, Mac and Linux platforms. Installation instructions and a mailing list are available from ultrascan.aucsolutions.com.

Indexed as

SoftwareUltracentrifugationReproducibility of Results

Identifiers

PMID32559250
PMCPMC7347214

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.