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Roland Riek

dblp:146/5240 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2023
0000-0002-6333-066XORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Bioinformatics and computational biology · 100%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › proteomics › mass spectrometry data analysis
automated peak picking
0.712023
NMRtist: an online platform for automated biomolecular NMR spectra analysis · Bioinform. 2023
Bioinformatics and computational biology › structural bioinformatics
chemical shift assignment
0.712023
NMRtist: an online platform for automated biomolecular NMR spectra analysis · Bioinform. 2023
Bioinformatics and computational biology › structural biology
NMR spectroscopy
0.712023
NMRtist: an online platform for automated biomolecular NMR spectra analysis · Bioinform. 2023
Bioinformatics and computational biology
structural bioinformatics
0.712023
NMRtist: an online platform for automated biomolecular NMR spectra analysis · Bioinform. 2023
Bioinformatics and computational biology › structural bioinformatics
protein structure determination
0.212023
NMRtist: an online platform for automated biomolecular NMR spectra analysis · Bioinform. 2023

Methods — techniques the papers use, named apart from their topics

large-scale optimization · 0.7deep learning · 0.7cloud computing · 0.7
YearPublicationVenuePosition
2023 NMRtist: an online platform for automated biomolecular NMR spectra analysis
abstract
SUMMARY: We present NMRtist, an online platform that combines deep learning, large-scale optimization and cloud computing to automate protein NMR spectra analysis. Our website provides virtual storage for NMR spectra deposition together with a set of applications designed for automated peak picking, chemical shift assignment and protein structure determination. The system can be used by non-experts and allows protein assignments and structures to be determined within hours after the measurements, strictly without any human intervention. AVAILABILITY AND IMPLEMENTATION: NMRtist is freely available to non-commercial users at https://nmrtist.org. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Piotr Klukowski, Roland Riek, Peter Güntert
Bioinform.2