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BMC Bioinformatics|October 10, 2009
A stochastic context free grammar based framework for analysis of protein sequencesWitold Dyrka, Jean-Christophe NebelAlgorithms for Molecular Biology : AMB|December 20, 2013
Probabilistic grammatical model for helix-helix contact site classificationWitold Dyrka, Jean-Christophe Nebel, Malgorzata KotulskaBioinformatics (Oxford, England)|February 14, 2006
Generation of 3D templates of active sites of proteins with rigid prosthetic groupsJean-Christophe NebelBMC Bioinformatics|May 3, 2020
Enhancing fragment-based protein structure prediction by customising fragment cardinality according to local secondary structureJad Abbass, Jean-Christophe NebelBMC Bioinformatics|June 8, 2014
Scoring docking conformations using predicted protein interfacesReyhaneh Esmaielbeiki, Jean-Christophe NebelProtein and Peptide Letters|December 21, 2016
Reduced Fragment Diversity for Alpha and Alpha-Beta Protein Structure Prediction using RosettaJad Abbass, Jean-Christophe NebelBMC Bioinformatics|May 1, 2015
Customised fragments libraries for protein structure prediction based on structural class annotationsJad Abbass, Jean-Christophe NebelBioinformatics (Oxford, England)|July 15, 2025
Harnessing deep learning for proteome-scale detection of amyloid signaling motifsKrzysztof Pysz, Jakub Gałązka, Witold DyrkaJournal 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 KotulskaProteins|May 31, 2013
Optimization of 3D Poisson-Nernst-Planck model for fast evaluation of diverse protein channelsWitold Dyrka, Maciej M Bartuzel, Malgorzata KotulskaPageof 6