Marco Biasini
Overview
Explore the profile of Marco Biasini including associated specialties, affiliations and a list of published articles.
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10
Citations
4017
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Recent Articles
1.
Studer G, Tauriello G, Bienert S, Biasini M, Johner N, Schwede T
PLoS Comput Biol
. 2021 Jan;
17(1):e1008667.
PMID: 33507980
Computational methods for protein structure modelling are routinely used to complement experimental structure determination, thus they help to address a broad spectrum of scientific questions in biomedical research. The most...
2.
Bertoni M, Kiefer F, Biasini M, Bordoli L, Schwede T
Sci Rep
. 2017 Sep;
7(1):10480.
PMID: 28874689
Cellular processes often depend on interactions between proteins and the formation of macromolecular complexes. The impairment of such interactions can lead to deregulation of pathways resulting in disease states, and...
3.
Biasini A, Biasini M, Stella M
Nurs Child Young People
. 2014 Nov;
26(9):27-30.
PMID: 25369104
Trauma from burns and scalds in children is more common and more damaging than in adults, and may indicate abuse. The main goal of intensive care of an acute burn...
4.
Studer G, Biasini M, Schwede T
Bioinformatics
. 2014 Aug;
30(17):i505-11.
PMID: 25161240
Motivation: Membrane proteins are an important class of biological macromolecules involved in many cellular key processes including signalling and transport. They account for one third of genes in the human...
5.
Biasini M, Bienert S, Waterhouse A, Arnold K, Studer G, Schmidt T, et al.
Nucleic Acids Res
. 2014 May;
42(Web Server issue):W252-8.
PMID: 24782522
Protein structure homology modelling has become a routine technique to generate 3D models for proteins when experimental structures are not available. Fully automated servers such as SWISS-MODEL with user-friendly web...
6.
Kryshtafovych A, Moult J, Bales P, Bazan J, Biasini M, Burgin A, et al.
Proteins
. 2013 Dec;
82 Suppl 2:26-42.
PMID: 24318984
For the last two decades, CASP has assessed the state of the art in techniques for protein structure prediction and identified areas which required further development. CASP would not have...
7.
Mariani V, Biasini M, Barbato A, Schwede T
Bioinformatics
. 2013 Aug;
29(21):2722-8.
PMID: 23986568
Motivation: The assessment of protein structure prediction techniques requires objective criteria to measure the similarity between a computational model and the experimentally determined reference structure. Conventional similarity measures based on...
8.
Benkert P, Biasini M, Schwede T
Bioinformatics
. 2010 Dec;
27(3):343-50.
PMID: 21134891
Motivation: Quality assessment of protein structures is an important part of experimental structure validation and plays a crucial role in protein structure prediction, where the predicted models may contain substantial...
9.
Biasini M, Mariani V, Haas J, Scheuber S, Schenk A, Schwede T, et al.
Bioinformatics
. 2010 Aug;
26(20):2626-8.
PMID: 20733063
Motivation: Developers of new methods in computational structural biology are often hampered in their research by incompatible software tools and non-standardized data formats. To address this problem, we have developed...
10.
Iacovache I, Biasini M, Kowal J, Kukulski W, Chami M, van der Goot F, et al.
J Struct Biol
. 2009 Dec;
169(3):370-8.
PMID: 19963066
Among the state-of-the-art techniques that provide experimental information at atomic scale for membrane proteins, electron crystallography, atomic force microscopy and solid state NMR make use of two-dimensional crystals. We present...