Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Konrad Hinsen

dblp:75/6247 · DBLP profile ↗
← Back
4ranked-venue papers
3as first author
1since 2021 · last 2024
0000-0003-0330-9428ORCID · verified

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

Systems, architecture and hardware · 2 · 1 first-authorSoftware engineering, systems software and programming languages · 1 · 1 first-author · 1 since 2021Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author

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

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › molecular informatics › molecular modeling › biomolecular simulation
elastic network model
0.112008
Structural flexibility in proteins: impact of the crystal environment · Bioinform. 2008
Bioinformatics and computational biology › protein structure analysis
protein flexibility
0.112008
Structural flexibility in proteins: impact of the crystal environment · Bioinform. 2008
Bioinformatics and computational biology › structural bioinformatics
protein structure
0.112008
Structural flexibility in proteins: impact of the crystal environment · Bioinform. 2008
Bioinformatics and computational biology › structural biology
protein crystallography
0.012008
Structural flexibility in proteins: impact of the crystal environment · Bioinform. 2008

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

normal mode analysis · 0.1elastic network model · 0.1
YearPublicationVenuePosition
2024 Redressing the Balance: A Yin-Yang Perspective on Information Technology
abstract
Information is an essential aspect of how we interact with the world around us. We acquire information and then integrate it to build knowledge, understanding, and trust, which in turn serve in preparing actions. Information technology (IT) is supposed to support all these phases of information processing. But does it? An assessment of IT through the yin-yang lens from Chinese philosophy shows that over the last decades, support for the yin processes of building knowledge, understanding, and trust has been neglected, the focus of most research and development having been on the yang processes of acting. IT shares this imbalance with other aspects of Western and globalized culture. I discuss possible directions for re-establishing a yin-yang balance in IT, as a small contribution to redressing the balance in the world at large.
Konrad Hinsen
Onward!1
2017 Scientific workflows for computational reproducibility in the life sciences: Status, challenges and opportunities
Sarah Cohen Boulakia, Khalid Belhajjame, Olivier Collin, Jérôme Chopard, Christine Froidevaux, Alban Gaignard, Konrad Hinsen, Pierre Larmande, Yvan Le Bras, Frédéric Lemoine 0002, Fabien Mareuil, Hervé Ménager, Christophe Pradal, Christophe Blanchet
Future Gener. Comput. Syst.7
2008 Structural flexibility in proteins: impact of the crystal environment
abstract
Abstract Motivation: In the study of the structural flexibility of proteins, crystallographic Debye-Waller factors are the most important experimental information used in the calibration and validation of computational models, such as the very successful elastic network models (ENMs). However, these models are applied to single protein molecules, whereas the experiments are performed on crystals. Moreover, the energy scale in standard ENMs is undefined and must be obtained by fitting to the same data that the ENM is trying to predict, reducing the predictive power of the model. Results: We develop an elastic network model for the whole protein crystal in order to study the influence of crystal packing and lattice vibrations on the thermal fluctuations of the atom positions. We use experimental values for the compressibility of the crystal to establish the energy scale of our model. We predict the elastic constants of the crystal and compare with experimental data. Our main findings are (1) crystal packing modifies the atomic fluctuations considerably and (2) thermal fluctuations are not the dominant contribution to crystallographic Debye-Waller factors. Availability: The programs developed for this work are available as supplementary material at Bioinformatics Online. Contact: [email protected] Supplementary information: (1) A full derivation of the normal mode equations in a crystal and in a continuous medium. (2) A movie illustrating the lattice vibrations. Both supplements are available at Bioinformatics Online.
Konrad Hinsen
Bioinform.1
2006 Using B SP and Python to simplify parallel programming
Konrad Hinsen, Hans Petter Langtangen, Ola Skavhaug, Åsmund Ødegård
Future Gener. Comput. Syst.1