scispace - formally typeset
Search or ask a question
Institution

Technical University of Denmark

EducationKongens Lyngby, Hovedstaden, Denmark
About: Technical University of Denmark is a education organization based out in Kongens Lyngby, Hovedstaden, Denmark. It is known for research contribution in the topics: Population & Catalysis. The organization has 24126 authors who have published 66394 publications receiving 2443649 citations. The organization is also known as: Danmarks Tekniske Universitet & DTU.


Papers
More filters
Journal ArticleDOI
TL;DR: In this paper, a modified version of the minimum compliance topology optimization problem is studied, where the direct dependence of the material properties on its pointwise density is replaced by a regularization of the density field by the mean of a convolution operator.
Abstract: In this article, a modified (‘filtered’) version of the minimum compliance topology optimization problem is studied. The direct dependence of the material properties on its pointwise density is replaced by a regularization of the density field by the mean of a convolution operator. In this setting it is possible to establish the existence of solutions. Moreover, convergence of an approximation by means of finite elements can be obtained. This is illustrated through some numerical experiments. The ‘filtering’ technique is also shown to cope with two important numerical problems in topology optimization, checkerboards and mesh dependent designs. Copyright © 2001 John Wiley & Sons, Ltd.

920 citations

Journal ArticleDOI
TL;DR: The widespread occurrence of N-acyl homoserine lactones (AHL) in stored and spoiling fresh foods is reported for the first time and the potential implications for spoilage and food preservation are discussed.

920 citations

Journal ArticleDOI
TL;DR: Experiments with P. aeruginosa strains indicated that the extracellular DNA is generated via a mechanism which is dependent on acyl homoserine lactone and Pseudomonas quinolone signalling, as well as on flagella and type IV pili.
Abstract: Pseudomonas aeruginosa produces extracellular DNA which functions as a cell-to-cell interconnecting matrix component in biofilms. Comparison of extracellular DNA and chromosomal DNA by the use of polymerase chain reaction and Southern analysis suggested that the extracellular DNA is similar to whole-genome DNA. Evidence that the extracellular DNA in P. aeruginosa biofilms and cultures is generated via lysis of a subpopulation of the bacteria was obtained through experiments where extracellular ?-galactosidase released from lacZ-containing P. aeruginosa strains was assessed. Experiments with the wild type and lasIrhlI, pqsA, pqsL and fliMpilA mutants indicated that the extracellular DNA is generated via a mechanism which is dependent on acyl homoserine lactone and Pseudomonas quinolone signalling, as well as on flagella and type IV pili. Microscopic investigation of flow chamber-grown wild-type P. aeruginosa biofilms stained with different DNA stains suggested that the extracellular DNA is located primarily in the stalks of mushroom-shaped multicellular structures, with a high concentration especially in the outer part of the stalks forming a border between the stalk-forming bacteria and the cap-forming bacteria. Biofilms formed by lasIrhlI, pqsA and fliMpilA mutants contained less extracellular DNA than biofilms formed by the wild type, and the mutant biofilms were more susceptible to treatment with sodium dodecyl sulphate than the wild-type biofilm

915 citations

Journal ArticleDOI
TL;DR: In this article, a database of surface segregation energies of single transition metal impurities in transition-metal hosts obtained by a Green's-function linear muffin-tin-orbitals method in conjunction with the coherent potential and atomic sphere approximations including a multipole correction to the electrostatic potential and energy is presented.
Abstract: We present a database of $24\ifmmode\times\else\texttimes\fi{}24$ surface segregation energies of single transition metal impurities in transition-metal hosts obtained by a Green's-function linear-muffin-tin-orbitals method in conjunction with the coherent potential and atomic sphere approximations including a multipole correction to the electrostatic potential and energy. We use the database to establish the major factors which govern surface segregation in transition metal alloys. We find that the calculated trends are well described by Friedel's rectangular state density model and that the few but significant deviations from the simple trends are caused by crystal structure effects.

910 citations

Journal ArticleDOI
TL;DR: NetOGlyc 3.1 can predict sites for completely new proteins without losing its performance, indicating that mucin-type glycosylation in most cases is a bulk property and not a very site-specific one.
Abstract: O-GalNAc-glycosylation is one of the main types of glycosylation in mammalian cells. No consensus recognition sequence for the O-glycosyltransferases is known, making prediction methods necessary to bridge the gap between the large number of known protein sequences and the small number of proteins experimentally investigated with regard to glycosylation status. From O-GLYCBASE a total of 86 mammalian proteins experimentally investigated for in vivo O-GalNAc sites were extracted. Mammalian protein homolog comparisons showed that a glycosylated serine or threonine is less likely to be precisely conserved than a nonglycosylated one. The Protein Data Bank was analyzed for structural information, and 12 glycosylated structures were obtained. All positive sites were found in coil or turn regions. A method for predicting the location for mucin-type glycosylation sites was trained using a neural network approach. The best overall network used as input amino acid composition, averaged surface accessibility predictions together with substitution matrix profile encoding of the sequence. To improve prediction on isolated (single) sites, networks were trained on isolated sites only. The final method combines predictions from the best overall network and the best isolated site network; this prediction method correctly predicted 76% of the glycosylated residues and 93% of the nonglycosylated residues. NetOGlyc 3.1 can predict sites for completely new proteins without losing its performance. The fact that the sites could be predicted from averaged properties together with the fact that glycosylation sites are not precisely conserved indicates that mucin-type glycosylation in most cases is a bulk property and not a very site-specific one. NetOGlyc 3.1 is made available at www.cbs.dtu.dk/services/netoglyc.

908 citations


Authors

Showing all 24555 results

NameH-indexPapersCitations
Peer Bork206697245427
Jens K. Nørskov184706146151
Jens Nielsen1491752104005
Bernhard O. Palsson14783185051
Jian Yang1421818111166
Kim Overvad139119686018
Bernard Henrissat139593100002
Torben Jørgensen13588386822
Joel N. Hirschhorn133431101061
John W. Hutchinson12941974747
Robert J. Cava125104271819
Robert A. Harrington12478968023
Hans Ulrik Nørgaard-Nielsen12429584595
M. Linden-Vørnle12023580049
Allan Hornstrup11832883519
Network Information
Related Institutions (5)
ETH Zurich
122.4K papers, 5.1M citations

94% related

Texas A&M University
164.3K papers, 5.7M citations

93% related

Georgia Institute of Technology
119K papers, 4.6M citations

93% related

Centre national de la recherche scientifique
382.4K papers, 13.6M citations

93% related

Spanish National Research Council
220.4K papers, 7.6M citations

92% related

Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023252
2022714
20214,533
20204,534
20193,792
20183,665