Zobrazeno 1 - 10
of 48
pro vyhledávání: '"Gregor Gunčar"'
Autor:
Anil S Thakur, Gautier Robin, Gregor Guncar, Neil F W Saunders, Janet Newman, Jennifer L Martin, Bostjan Kobe
Publikováno v:
PLoS ONE, Vol 2, Iss 10, p e1091 (2007)
Crystallization is a major bottleneck in the process of macromolecular structure determination by X-ray crystallography. Successful crystallization requires the formation of nuclei and their subsequent growth to crystals of suitable size. Crystal gro
Externí odkaz:
https://doaj.org/article/0185573710f247c4a1ea407cf547006f
Autor:
Gregor Gunčar, Matjaž Kukar, Tim Smole, Sašo Moškon, Tomaž Vovko, Simon Podnar, Peter Černelč, Miran Brvar, Mateja Notar, Manca Köster, Marjeta Tušek Jelenc, Žiga Osterc, Marko Notar
Publikováno v:
Heliyon, Vol 10, Iss 8, Pp e29372- (2024)
The growing threat of antibiotic resistance necessitates accurate differentiation between bacterial and viral infections for proper antibiotic administration. In this study, a Virus vs. Bacteria machine learning model was developed to distinguish bet
Externí odkaz:
https://doaj.org/article/45d0ce9391574ac288911225263d43d4
Autor:
Matjaž Kukar, Gregor Gunčar, Tomaž Vovko, Simon Podnar, Peter Černelč, Miran Brvar, Mateja Zalaznik, Mateja Notar, Sašo Moškon, Marko Notar
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-9 (2021)
Abstract Physicians taking care of patients with COVID-19 have described different changes in routine blood parameters. However, these changes hinder them from performing COVID-19 diagnoses. We constructed a machine learning model for COVID-19 diagno
Externí odkaz:
https://doaj.org/article/5e6c746d9f7d42ca988860072ce91764
Publikováno v:
BMC Bioinformatics, Vol 20, Iss 1, Pp 1-12 (2019)
Abstract Background The function of oligomeric proteins is inherently linked to their quaternary structure. In the absence of high-resolution data, low-resolution information in the form of spatial restraints can significantly contribute to the preci
Externí odkaz:
https://doaj.org/article/f6077b1683a54c1dac8faf90b51792ea
Autor:
Gregor Gunčar, Matjaž Kukar, Mateja Notar, Miran Brvar, Peter Černelč, Manca Notar, Marko Notar
Publikováno v:
Scientific Reports, Vol 8, Iss 1, Pp 1-12 (2018)
Abstract Quick and accurate medical diagnoses are crucial for the successful treatment of diseases. Using machine learning algorithms and based on laboratory blood test results, we have built two models to predict a haematologic disease. One predicti
Externí odkaz:
https://doaj.org/article/6ce1c80be791462db5395b7bfc94e092
Autor:
Gregor Gunčar, Matjaž Kukar, Tim Smole, Sašo Moškon, Tomaž Vovko, Simon Podnar, Peter Černelč, Miran Brvar, Mateja Notar, Manca Köster, Marjeta Tušek Jelenc, Žiga Osterc, Marko Notar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::095e2ff498ae3533775c9c6a61d7c883
https://doi.org/10.2139/ssrn.4459567
https://doi.org/10.2139/ssrn.4459567
Autor:
Dušan Turk, Gregor Gunčar
Publikováno v:
Acta Crystallographica. Section D, Structural Biology
A study of natively iodinated bovine thyroglobulin demonstrates that structural details of biologically important chemical reactions can now be visualized by electron cryo-microscopy.
Autor:
Simon Podnar, Mateja Zalaznik, Mateja Notar, Marko Notar, Gregor Gunčar, Sašo Moškon, Miran Brvar, Matjaž Kukar, Tomaž D. Vovko, Peter Černelč
Publikováno v:
Scientific Reports
Scientific Reports, Vol 11, Iss 1, Pp 1-9 (2021)
Scientific Reports, Vol 11, Iss 1, Pp 1-9 (2021)
Physicians taking care of patients with coronavirus disease (COVID-19) have described different changes in routine blood parameters. However, these changes, hinder them from performing COVID-19 diagnosis. We constructed a machine learning predictive
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::36f37ec5c1a41b9531b1f4feefaa4934
http://arxiv.org/abs/2006.03476
http://arxiv.org/abs/2006.03476
Publikováno v:
Journal of Chromatography B. 1174:122731
In-process monitoring of glycosylated protein concentration becomes very important with the introduction of perfusion bioprocesses. Affinity chromatography based on lectins allows selective monitoring when carbohydrates are accessible on the protein
Publikováno v:
BMC bioinformatics, vol. 20, no. 464, 2019.
BMC Bioinformatics, Vol 20, Iss 1, Pp 1-12 (2019)
BMC Bioinformatics
BMC Bioinformatics, Vol 20, Iss 1, Pp 1-12 (2019)
BMC Bioinformatics
Background The function of oligomeric proteins is inherently linked to their quaternary structure. In the absence of high-resolution data, low-resolution information in the form of spatial restraints can significantly contribute to the precision and