Zobrazeno 1 - 10
of 74
pro vyhledávání: '"David Hoksza"'
Autor:
Piotr Gawron, David Hoksza, Janet Piñero, Maria Peña-Chilet, Marina Esteban-Medina, Jose Luis Fernandez-Rueda, Vincenza Colonna, Ewa Smula, Laurent Heirendt, François Ancien, Valentin Groues, Venkata P. Satagopam, Reinhard Schneider, Joaquin Dopazo, Laura I. Furlong, Marek Ostaszewski
Publikováno v:
Frontiers in Bioinformatics, Vol 3 (2023)
Introduction: Investigation of molecular mechanisms of human disorders, especially rare diseases, require exploration of various knowledge repositories for building precise hypotheses and complex data interpretation. Recently, increasingly more resou
Externí odkaz:
https://doaj.org/article/2a8ecff469be48179eb1a3911ed85df0
Autor:
Blake A. Sweeney, David Hoksza, Eric P. Nawrocki, Carlos Eduardo Ribas, Fábio Madeira, Jamie J. Cannone, Robin Gutell, Aparna Maddala, Caeden D. Meade, Loren Dean Williams, Anton S. Petrov, Patricia P. Chan, Todd M. Lowe, Robert D. Finn, Anton I. Petrov
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-12 (2021)
Non-coding RNA function is poorly understood, partly due to the challenge of determining RNA secondary (2D) structure. Here, the authors present a framework for the reproducible prediction and visualization of the 2D structure of a wide array of RNAs
Externí odkaz:
https://doaj.org/article/08c55853e54b4060954e1a43ffedc3a6
Autor:
Radoslav Krivák, David Hoksza
Publikováno v:
Journal of Cheminformatics, Vol 10, Iss 1, Pp 1-12 (2018)
Abstract Background Ligand binding site prediction from protein structure has many applications related to elucidation of protein function and structure based drug discovery. It often represents only one step of many in complex computational drug des
Externí odkaz:
https://doaj.org/article/34715cd7cb01436e9a681b511d5677a9
Publikováno v:
BMC Bioinformatics, Vol 18, Iss S15, Pp 63-72 (2017)
Abstract Background Protein-protein interactions (PPI) play a key role in an investigation of various biochemical processes, and their identification is thus of great importance. Although computational prediction of which amino acids take part in a P
Externí odkaz:
https://doaj.org/article/0de91b5b222744a1a4858fc530b9a8fa
Autor:
Richard Elias, David Hoksza
Publikováno v:
BMC Bioinformatics, Vol 18, Iss 1, Pp 1-10 (2017)
Abstract Background Visualization of RNA secondary structures is a complex task, and, especially in the case of large RNA structures where the expected layout is largely habitual, the existing visualization tools often fail to produce suitable visual
Externí odkaz:
https://doaj.org/article/4836333edfdd4ff38efb134272a083bd
Autor:
Sumaiya Iqbal, Tobias Brünger, Eduardo Pérez-Palma, Marie Macnee, Andreas Brunklaus, Mark J Daly, Arthur J Campbell, David Hoksza, Patrick May, Dennis Lal
Publikováno v:
Brain. 146:519-533
Neurodevelopmental disorders (NDDs), including severe paediatric epilepsy, autism and intellectual disabilities are heterogeneous conditions in which clinical genetic testing can often identify a pathogenic variant. For many of them, genetic therapie
Publikováno v:
2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).
Autor:
David Hoksza, Hamza Gamouh
Publikováno v:
2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).
Publikováno v:
Bioinformatics (Oxford, England). 38(24)
Understanding the mechanism of action of a protein or designing better ligands for it often requires access to a bound (holo) and an unbound (apo) state of the protein. Resources for the quick and easy retrieval of such conformations are severely lim
Publikováno v:
IEEE/ACM Transactions on Computational Biology and Bioinformatics. 18:1130-1141
Visualization of biological mechanisms by means of pathway graphs is necessary to better understand the often complex underlying system. Manual layout of such pathways or maps of knowledge is a difficult and time consuming process. Node duplication i