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FragMAXapp : Crystallographic fragment-screening data-analysis and project-management system

Lima, Gustavo M.A. (author)
Lund University,Lunds universitet,MAX IV-laboratoriet,MAX IV Laboratory
Jagudin, Elmir (author)
Lund University,Lunds universitet,MAX IV-laboratoriet,MAX IV Laboratory
Talibov, Vladimir O. (author)
Lund University,Lunds universitet,MAX IV-laboratoriet,MAX IV Laboratory
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Benz, Laila S. (author)
Free University of Berlin
Marullo, Costantino (author)
Lund University,Lunds universitet,MAX IV-laboratoriet,MAX IV Laboratory
Barthel, Tatjana (author)
Helmholtz Association of German Research Centers
Wollenhaupt, Jan (author)
Helmholtz Association of German Research Centers
Weiss, Manfred S. (author)
Helmholtz Association of German Research Centers
Mueller, Uwe (author)
Helmholtz Association of German Research Centers
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 (creator_code:org_t)
2021
2021
English 10 s.
In: Acta Crystallographica Section D: Structural Biology. - 2059-7983. ; 77, s. 799-808
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • Crystallographic fragment screening (CFS) has become one of the major techniques for screening compounds in the early stages of drug-discovery projects. Following the advances in automation and throughput at modern macromolecular crystallography beamlines, the bottleneck for CFS has shifted from collecting data to organizing and handling the analysis of such projects. The complexity that emerges from the use of multiple methods for processing and refinement and to search for ligands requires an equally sophisticated solution to summarize the output, allowing researchers to focus on the scientific questions instead of on software technicalities. FragMAXapp is the fragment-screening project-management tool designed to handle CFS projects at MAX IV Laboratory. It benefits from the powerful computing infrastructure of large-scale facilities and, as a web application, it is accessible from everywhere.

Subject headings

NATURVETENSKAP  -- Biologi -- Biokemi och molekylärbiologi (hsv//swe)
NATURAL SCIENCES  -- Biological Sciences -- Biochemistry and Molecular Biology (hsv//eng)

Keyword

drug discovery
fragment screening
fragment-based lead discovery
high-throughput data analysis
protein crystallography

Publication and Content Type

art (subject category)
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