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Witold Dyrka

Showing results (1-10 of 18) with videos related to

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BMC Bioinformatics|October 10, 2009
A stochastic context free grammar based framework for analysis of protein sequencesWitold Dyrka, Jean-Christophe Nebel
Bioinformatics (Oxford, England)|July 15, 2025
Harnessing deep learning for proteome-scale detection of amyloid signaling motifsKrzysztof Pysz, Jakub Gałązka, Witold Dyrka
Algorithms for Molecular Biology : AMB|December 20, 2013
Probabilistic grammatical model for helix-helix contact site classificationWitold Dyrka, Jean-Christophe Nebel, Malgorzata Kotulska
Journal of Computational Chemistry|April 3, 2008
Ion flux through membrane channels--an enhanced algorithm for the Poisson-Nernst-Planck modelWitold Dyrka, Andy T Augousti, Malgorzata Kotulska
Proteins|May 31, 2013
Optimization of 3D Poisson-Nernst-Planck model for fast evaluation of diverse protein channelsWitold Dyrka, Maciej M Bartuzel, Malgorzata Kotulska
Scientific Reports|July 30, 2015
Theme and variations: evolutionary diversification of the HET-s functional amyloid motifAsen Daskalov, Witold Dyrka, Sven J Saupe
BMC Bioinformatics|July 19, 2017
Quantiprot - a Python package for quantitative analysis of protein sequencesBogumił M Konopka, Marta Marciniak, Witold Dyrka
Peerj|March 29, 2019
Estimating probabilistic context-free grammars for proteins using contact map constraintsWitold Dyrka, Mateusz Pyzik, François Coste, et al.
Proteins|December 10, 2015
Fast assessment of structural models of ion channels based on their predicted current-voltage characteristicsWitold Dyrka, Monika Kurczyńska, Bogumił M Konopka, et al.
BMC Bioinformatics|April 30, 2021
Searching for universal model of amyloid signaling motifs using probabilistic context-free grammarsWitold Dyrka, Marlena Gąsior-Głogowska, Monika Szefczyk, et al.
Pageof 2

Showing results (1-10 of 18) with videos related to

Sort By:
Pageof 2
BMC Bioinformatics|October 10, 2009
A stochastic context free grammar based framework for analysis of protein sequencesWitold Dyrka, Jean-Christophe Nebel
Bioinformatics (Oxford, England)|July 15, 2025
Harnessing deep learning for proteome-scale detection of amyloid signaling motifsKrzysztof Pysz, Jakub Gałązka, Witold Dyrka
Algorithms for Molecular Biology : AMB|December 20, 2013
Probabilistic grammatical model for helix-helix contact site classificationWitold Dyrka, Jean-Christophe Nebel, Malgorzata Kotulska
Journal of Computational Chemistry|April 3, 2008
Ion flux through membrane channels--an enhanced algorithm for the Poisson-Nernst-Planck modelWitold Dyrka, Andy T Augousti, Malgorzata Kotulska
Proteins|May 31, 2013
Optimization of 3D Poisson-Nernst-Planck model for fast evaluation of diverse protein channelsWitold Dyrka, Maciej M Bartuzel, Malgorzata Kotulska
Scientific Reports|July 30, 2015
Theme and variations: evolutionary diversification of the HET-s functional amyloid motifAsen Daskalov, Witold Dyrka, Sven J Saupe
BMC Bioinformatics|July 19, 2017
Quantiprot - a Python package for quantitative analysis of protein sequencesBogumił M Konopka, Marta Marciniak, Witold Dyrka
Peerj|March 29, 2019
Estimating probabilistic context-free grammars for proteins using contact map constraintsWitold Dyrka, Mateusz Pyzik, François Coste, et al.
Proteins|December 10, 2015
Fast assessment of structural models of ion channels based on their predicted current-voltage characteristicsWitold Dyrka, Monika Kurczyńska, Bogumił M Konopka, et al.
BMC Bioinformatics|April 30, 2021
Searching for universal model of amyloid signaling motifs using probabilistic context-free grammarsWitold Dyrka, Marlena Gąsior-Głogowska, Monika Szefczyk, et al.
Pageof 2