New Results
NetSurfP-2.0: improved prediction of protein structural features by integrated deep learning
Michael Schantz Klausen, Martin Closter Jespersen, Henrik Nielsen, Kamilla Kjærgaard Jensen, Vanessa Isabell Jurtz, Casper Kaae Sønderby, Morten Otto Alexander Sommer, Ole Winther, Morten Nielsen, Bent Petersen, View ORCID ProfilePaolo Marcatili
doi: https://doi.org/10.1101/311209
Michael Schantz Klausen
1Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Kgs. Lyngby, Denmark
Martin Closter Jespersen
2Department of Bio and Health Informatics, Technical University of Denmark, Kgs. Lyngby, Denmark
Henrik Nielsen
2Department of Bio and Health Informatics, Technical University of Denmark, Kgs. Lyngby, Denmark
Kamilla Kjærgaard Jensen
2Department of Bio and Health Informatics, Technical University of Denmark, Kgs. Lyngby, Denmark
Vanessa Isabell Jurtz
2Department of Bio and Health Informatics, Technical University of Denmark, Kgs. Lyngby, Denmark
Casper Kaae Sønderby
3The Bioinformatics Centre, Department of Biology, University of Copenhagen, 2200 Copenhagen N, Denmark
Morten Otto Alexander Sommer
1Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Kgs. Lyngby, Denmark
Ole Winther
3The Bioinformatics Centre, Department of Biology, University of Copenhagen, 2200 Copenhagen N, Denmark
4Department of Applied Mathematics and Computer Science, Technical University of Denmark, Kgs. Lyngby, Denmark
Morten Nielsen
2Department of Bio and Health Informatics, Technical University of Denmark, Kgs. Lyngby, Denmark
5Instituto de Investigaciones Biotecnológicas, Universidad Nacional de San Martín, Buenos Aires, Argentina
Bent Petersen
2Department of Bio and Health Informatics, Technical University of Denmark, Kgs. Lyngby, Denmark
6Centre of Excellence for Omics-Driven Computational Biodiscovery (COMBio), Faculty of Applied Sciences, AIMST University, Kedah, Malaysia
Paolo Marcatili
2Department of Bio and Health Informatics, Technical University of Denmark, Kgs. Lyngby, Denmark
Posted September 10, 2018.
NetSurfP-2.0: improved prediction of protein structural features by integrated deep learning
Michael Schantz Klausen, Martin Closter Jespersen, Henrik Nielsen, Kamilla Kjærgaard Jensen, Vanessa Isabell Jurtz, Casper Kaae Sønderby, Morten Otto Alexander Sommer, Ole Winther, Morten Nielsen, Bent Petersen, Paolo Marcatili
bioRxiv 311209; doi: https://doi.org/10.1101/311209
NetSurfP-2.0: improved prediction of protein structural features by integrated deep learning
Michael Schantz Klausen, Martin Closter Jespersen, Henrik Nielsen, Kamilla Kjærgaard Jensen, Vanessa Isabell Jurtz, Casper Kaae Sønderby, Morten Otto Alexander Sommer, Ole Winther, Morten Nielsen, Bent Petersen, Paolo Marcatili
bioRxiv 311209; doi: https://doi.org/10.1101/311209
Subject Area
Subject Areas
- Biochemistry (11736)
- Bioengineering (8749)
- Bioinformatics (29186)
- Biophysics (14964)
- Cancer Biology (12086)
- Cell Biology (17403)
- Clinical Trials (138)
- Developmental Biology (9418)
- Ecology (14176)
- Epidemiology (2067)
- Evolutionary Biology (18299)
- Genetics (12235)
- Genomics (16795)
- Immunology (11863)
- Microbiology (28066)
- Molecular Biology (11582)
- Neuroscience (60936)
- Paleontology (451)
- Pathology (1870)
- Pharmacology and Toxicology (3238)
- Physiology (4956)
- Plant Biology (10423)
- Synthetic Biology (2883)
- Systems Biology (7338)
- Zoology (1650)