Research Output per year
Personal profile
Ancillary activities
- Stichting Prelude Foundation | Amsterdam | Penningmeester | 2010-02-15 - present
Ancillary activities are updated daily
Personal information
Research
My research generally involves integrating, modelling and learning from data that has been derived from several sources ranging from high-throughput molecular profiling techniques to atomic force spectroscopy measurements. My focus lies both on mining quantitative data from heterogeneous sources effectively, and modelling such data within the given physical constraints.
Interests
- Bioinformatics
- Computational biophysics
- Data science
- Protein thermodynamics
- Mining quantitative data
Keywords
- Q Science (General)
- Bioinformatics
- Data Science
- Biophysical simulations
- Data integration
Fingerprint Dive into the research topics where Sanne Abeln is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 3 Similar Profiles
Proteins
Medicine & Life Sciences
Sequence Alignment
Medicine & Life Sciences
Fold
Mathematics
Protein
Mathematics
Genes
Chemical Compounds
Genome
Medicine & Life Sciences
Pathway
Mathematics
Computational Biology
Medicine & Life Sciences
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Research Output 2005 2019
Impact of pathogenic mutations of the GLUT1 glucose transporter on channel dynamics using ConsDYN enhanced sampling
Mouhib, H., Higuchi, A., Abeln, S., Yura, K. & Feenstra, K. A., 22 Mar 2019, In : F1000Research. 8, p. 322Research output: Contribution to Journal › Article › Academic
Open Access
Facilitative Glucose Transport Proteins
Sampling
Mutation
Glucose Transporter Type 1
Molecular dynamics
SeRenDIP: SEquential REmasteriNg to DerIve Profiles for fast and accurate predictions of PPI interface positions
Hou, Q., De Geest, P., Griffioen, C. J., Abeln, S., Heringa, J. & Feenstra, K. A., 22 May 2019, In : Bioinformatics.Research output: Contribution to Journal › Article › Academic › peer-review
Web Server
Proteins
Protein
Prediction
Interaction
Tailor-made multiple sequence alignments using the PRALINE 2 alignment toolkit
Dijkstra, M. J. J., van der Ploeg, A. J., Feenstra, K. A., Fokkink, W. J., Abeln, S. & Heringa, J., 1 Aug 2019, In : Bioinformatics.Research output: Contribution to Journal › Article › Academic › peer-review
Multiple Sequence Alignment
Workflow
Sequence Alignment
Work Flow
Alignment
The hydrophobic effect characterises the thermodynamic signature of amyloid fibril growth
Dijk, E. V., Gils, J. H. M. V., Peduzzo, A., Hofmann, A., Groth, G., Mouhib, H., Otzen, D. E., Buell, A. K. & Abeln, S., 13 Jun 2019, In : arXiv.org.Research output: Contribution to Journal › Article › Academic
thermodynamics
protein
heat capacity
meta-analysis
hydrophobicity
The potential use of big data in oncology
Willems, S. M., Abeln, S., Feenstra, K. A., de Bree, R., van der Poel, E. F., Baatenburg de Jong, R. J., Heringa, J. & van den Brekel, M. W. M., 12 Sep 2019, In : Oral Oncology. 98, p. 8-12 5 p.Research output: Contribution to Journal › Review article › Academic › peer-review
Information Storage and Retrieval
Head and Neck Neoplasms
Netherlands
Neck
Head