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FragMAXapp : crystallographic fragment-screening data-analysis and project-management system
- Source :
- Acta Crystallographica Section D Structural Biology, Acta Crystallographica. Section D, Structural Biology
- Publication Year :
- 2021
-
Abstract
- The amount of data generated during crystallographic fragment-screening projects requires sophisticated automated methods to analyse the data and to identify binders. FragMAXapp is the MAX IV Laboratory approach to managing fragment-screening campaigns: a web application that provides scientists with access to the MAX IV computing cluster and visualization tools.<br />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.
- Subjects :
- Data Analysis
Models, Molecular
0301 basic medicine
Macromolecular Substances
Computer science
Fragment-based lead discovery
Life Sciences Building Blocks of Life Structure and Function
02 engineering and technology
Ligands
Bottleneck
drug discovery
03 medical and health sciences
Software
Fragment (logic)
Structural Biology
protein crystallography
Web application
Throughput (business)
Focus (computing)
business.industry
Proteins
fragment-based lead discovery
fragment screening
021001 nanoscience & nanotechnology
Research Papers
Automation
high-throughput data analysis
Crystallography
030104 developmental biology
0210 nano-technology
business
500 Naturwissenschaften und Mathematik::540 Chemie::540 Chemie und zugeordnete Wissenschaften
Subjects
Details
- ISSN :
- 20597983
- Database :
- OpenAIRE
- Journal :
- Acta Crystallographica Section D Structural Biology
- Accession number :
- edsair.doi.dedup.....8c9631985270019d6f53a63a554dc963
- Full Text :
- https://doi.org/10.1107/s2059798321003818