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Andreas Bernsel
Researcher at Stockholm University
Publications - 12
Citations - 2547
Andreas Bernsel is an academic researcher from Stockholm University. The author has contributed to research in topics: Membrane protein & Integral membrane protein. The author has an hindex of 11, co-authored 12 publications receiving 2388 citations.
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Journal ArticleDOI
Molecular code for transmembrane-helix recognition by the Sec61 translocon
Tara Hessa,Nadja M. Meindl-Beinker,Andreas Bernsel,Hyun Kim,Yoko Sato,Mirjam Lerch-Bader,IngMarie Nilsson,Stephen H. White,Gunnar von Heijne +8 more
TL;DR: Using in vitro translation of a model protein in the presence of dog pancreas rough microsomes to analyse a large number of systematically designed hydrophobic segments, a quantitative analysis of the position-dependent contribution of all 20 amino acids to membrane insertion efficiency is presented.
Journal ArticleDOI
TOPCONS: consensus prediction of membrane protein topology
TL;DR: Topcons as discussed by the authors is a web server for consensus prediction of membrane protein topology, which combines an arbitrary number of topology predictions into one consensus prediction and quantifies the reliability of the prediction based on the level of agreement between the underlying methods.
Journal ArticleDOI
Coping with cold: The genome of the versatile marine Antarctica bacterium Pseudoalteromonas haloplanktis TAC125
Claudine Médigue,Evelyne Krin,Géraldine Pascal,Valérie Barbe,Andreas Bernsel,Philippe N. Bertin,Frankie Cheung,Stéphane Cruveiller,Salvino D'Amico,Angela Duilio,Gang Fang,Georges Feller,Christine Ho,Sophie Mangenot,Gennaro Marino,Johan Nilsson,Ermenegilda Parrilli,Eduardo P. C. Rocha,Zoé Rouy,Agnieszka Sekowska,Maria Luisa Tutino,David Vallenet,Gunnar von Heijne,Antoine Danchin +23 more
TL;DR: The analysis of the genome sequence of the fast growing Antarctica bacterium Pseudoalteromonas haloplanktis TAC125 finds that it copes with the increased solubility of oxygen at low temperature by multiplying dioxygen scavenging while deleting whole pathways producing reactive oxygen species.
Journal ArticleDOI
Prediction of membrane-protein topology from first principles
TL;DR: Two simple topology-prediction methods using a recently published experimental scale of position-specific amino acid contributions to the free energy of membrane insertion that perform on a par with the current best statistics-based topology predictors are presented.
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SPOCTOPUS: A combined predictor of signal peptides and membrane protein topology
TL;DR: The objective of the SPOCTOPUS algorithm is to minimize false predictions of transmembrane regions as signal peptides and vice versa and it compares favorably with state-of-the-art methods for signal peptide and topology predictions.