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Institution

Medical University of Graz

EducationGraz, Steiermark, Austria
About: Medical University of Graz is a education organization based out in Graz, Steiermark, Austria. It is known for research contribution in the topics: Population & Medicine. The organization has 5684 authors who have published 12349 publications receiving 417282 citations.


Papers
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Journal ArticleDOI
01 Mar 2017-Surgery
TL;DR: This new definition and grading system of postoperative pancreatic Fistula should lead to a more universally consistent evaluation of operative outcomes after pancreatic operation and will allow for a better comparison of techniques used to mitigate the rate and clinical impact of a pancreatic fistula.

2,313 citations

Journal ArticleDOI
TL;DR: These abridged EAU guidelines present updated information on the diagnosis and treatment of NMIBC for incorporation into clinical practice and the stratification of patients into low-, intermediate-, and high-risk groups is pivotal to recommending adjuvant treatment.

1,910 citations

Journal ArticleDOI
20 Aug 2021-Science
TL;DR: In this article, a three-track network is proposed to combine information at the one-dimensional (1D) sequence level, the 2D distance map level, and the 3D coordinate level.
Abstract: DeepMind presented notably accurate predictions at the recent 14th Critical Assessment of Structure Prediction (CASP14) conference. We explored network architectures that incorporate related ideas and obtained the best performance with a three-track network in which information at the one-dimensional (1D) sequence level, the 2D distance map level, and the 3D coordinate level is successively transformed and integrated. The three-track network produces structure predictions with accuracies approaching those of DeepMind in CASP14, enables the rapid solution of challenging x-ray crystallography and cryo-electron microscopy structure modeling problems, and provides insights into the functions of proteins of currently unknown structure. The network also enables rapid generation of accurate protein-protein complex models from sequence information alone, short-circuiting traditional approaches that require modeling of individual subunits followed by docking. We make the method available to the scientific community to speed biological research.

1,907 citations

Journal ArticleDOI
TL;DR: Findings on the role of surface charge on cytotoxicity in general, action on specific cellular targets, modes of toxic action, cellular uptake, and intracellular localization of NPs are summarized.
Abstract: Many types of nanoparticles (NPs) are tested for use in medical products, particularly in imaging and gene and drug delivery. For these applications, cellular uptake is usually a prerequisite and is governed in addition to size by surface characteristics such as hydrophobicity and charge. Although positive charge appears to improve the efficacy of imaging, gene transfer, and drug delivery, a higher cytotoxicity of such constructs has been reported. This review summarizes findings on the role of surface charge on cytotoxicity in general, action on specific cellular targets, modes of toxic action, cellular uptake, and intracellular localization of NPs. Effects of serum and intercell type differences are addressed. Cationic NPs cause more pronounced disruption of plasma-membrane integrity, stronger mitochondrial and lysosomal damage, and a higher number of autophagosomes than anionic NPs. In general, nonphagocytic cells ingest cationic NPs to a higher extent, but charge density and hydrophobicity are equally important; phagocytic cells preferentially take up anionic NPs. Cells do not use different uptake routes for cationic and anionic NPs, but high uptake rates are usually linked to greater biological effects. The different uptake preferences of phagocytic and nonphagocytic cells for cationic and anionic NPs may influence the efficacy and selectivity of NPs for drug delivery and imaging.

1,873 citations


Authors

Showing all 5763 results

NameH-indexPapersCitations
Ian J. Deary1661795114161
James F. Wilson146677101883
Nancy L. Pedersen14589094696
William Wijns12775295517
Andrew Simmons10246036608
Franz Fazekas10162949775
Hans-Peter Hartung10081049792
Michael Trauner9866735543
Dietmar Fuchs97111939758
Funda Meric-Bernstam9675336803
Ulf Landmesser9456446096
Aysegul A. Sahin9332230038
Frank Madeo9226945942
Takayoshi Ohkubo9163169634
Jürgen C. Becker9063728741
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202334
2022116
20211,411
20201,227
20191,015
2018917