Michael Schneider
Michael Schneider
Applied Scientist, Amazon
Verified email at tu-berlin.de
TitleCited byYear
Serum albumin domain structures in human blood serum by mass spectrometry and computational biology
A Belsom, M Schneider, L Fischer, O Brock, J Rappsilber
Molecular & Cellular Proteomics 15 (3), 1105-1116, 2016
552016
X‐ray vs. NMR structures as templates for computational protein design
M Schneider, X Fu, AE Keating
Proteins: Structure, Function, and Bioinformatics 77 (1), 97-110, 2009
482009
Combining physicochemical and evolutionary information for protein contact prediction
M Schneider, O Brock
PloS one 9 (10), e108438, 2014
282014
Protein tertiary structure by crosslinking/mass spectrometry
M Schneider, A Belsom, J Rappsilber
Trends in biochemical sciences 43 (3), 157-169, 2018
232018
Blind testing of cross‐linking/mass spectrometry hybrid methods in CASP11
M Schneider, A Belsom, J Rappsilber, O Brock
Proteins: Structure, Function, and Bioinformatics 84, 152-163, 2016
212016
EPSILON-CP: using deep learning to combine information from multiple sources for protein contact prediction
K Stahl, M Schneider, O Brock
BMC bioinformatics 18 (1), 303, 2017
162017
Blind evaluation of hybrid protein structure analysis methods based on cross-linking
A Belsom, M Schneider, O Brock, J Rappsilber
Trends in biochemical sciences 41 (7), 564-567, 2016
152016
RBO Aleph: leveraging novel information sources for protein structure prediction
M Mabrouk, I Putz, T Werner, M Schneider, M Neeb, P Bartels, O Brock
Nucleic acids research 43 (W1), W343-W348, 2015
142015
The structure of active opsin as a basis for identification of GPCR agonists by dynamic homology modelling and virtual screening assays
M Schneider, S Wolf, J Schlitter, K Gerwert
FEBS letters 585 (22), 3587-3592, 2011
142011
Blind testing cross-linking/mass spectrometry under the auspices of the 11 th critical assessment of methods of protein structure prediction (CASP11)
A Belsom, M Schneider, L Fischer, M Mabrouk, K Stahl, O Brock, ...
Wellcome open research 1, 2016
92016
An integrated workflow for cross-linking/mass spectrometry
ML Mendes, L Fischer, ZA Chen, M Barbon, FJ O'reilly, S Giese, ...
BioRxiv, 355396, 2019
82019
Analysis of free modeling predictions by RBO aleph in CASP 11
M Mabrouk, T Werner, M Schneider, I Putz, O Brock
Proteins: Structure, Function, and Bioinformatics 84, 87-104, 2016
62016
Criteria for classifying forecasting methods
T Januschowski, J Gasthaus, Y Wang, D Salinas, V Flunkert, ...
International Journal of Forecasting, 2019
32019
GluonTS: Probabilistic Time Series Models in Python
A Alexandrov, K Benidis, M Bohlke-Schneider, V Flunkert, J Gasthaus, ...
arXiv preprint arXiv:1906.05264, 2019
22019
Leveraging novel information sources for protein structure prediction
M Bohlke-Schneider
22016
GluonTS: Probabilistic Time Series Models in Python
Y Wang, S Rangapuram, D Salinas, J Gasthaus, T Januschowski, ...
Neural time series models with GluonTS Time Series Workshop ICML 2019
A Alexandrov, K Benidis, M Bohlke-Schneider, V Flunkert, J Gasthaus, ...
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Articles 1–17