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Ruud M. Scheek

dblp:221/7247 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2018
—ORCID · none

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

Applied, interdisciplinary, general and emerging computing · 1

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%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
GPUs and heterogeneous computing · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › protein structure analysis
protein electrostatics
0.312018
pepKalc: scalable and comprehensive calculation of electrostatic interactions in random coil polypeptides · Bioinform. 2018
GPUs and heterogeneous computing
GPU-accelerated scientific computing
0.112018
pepKalc: scalable and comprehensive calculation of electrostatic interactions in random coil polypeptides · Bioinform. 2018

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

monte carlo · 0.7mean-field approximation · 0.7
YearPublicationVenuePosition
2018 pepKalc: scalable and comprehensive calculation of electrostatic interactions in random coil polypeptides
abstract
Motivation: Polypeptide sequence length is the single dominant factor hampering the effectiveness of currently available software tools for de novo calculation of amino acid-specific protonation constants in disordered polypeptides. Results: We have developed pepKalc, a robust simulation software for the comprehensive evaluation of protein electrostatics in unfolded states. Our software completely removes the limitations of the previously reported Monte-Carlo approaches in the computation of protein electrostatics by using a hybrid approach that effectively combines exact and mean-field calculations to rapidly obtain accurate results. Paired with a modern architecture GPU, pepKalc is capable of evaluating protonation behavior for an arbitrary-size polypeptide in a sub-second time regime. Availability and implementation: http://protein-nmr.org and https://github.com/PeptoneInc/pepkalc.
Kamil Tamiola, Ruud M. Scheek, Pieter S. van der Meulen, Frans A. A. Mulder
Bioinform.2