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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.

  • 2 Similar Profiles
Proteins Medicine & Life Sciences
Fold Mathematics
Sequence Alignment Medicine & Life Sciences
Protein Mathematics
Genes Chemical Compounds
Genome Medicine & Life Sciences
Pathway Mathematics
Protein Folding 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. 322

Research output: Contribution to JournalArticleAcademic

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 JournalArticleAcademicpeer-review

Web Server
Proteins
Protein
Prediction
Interaction

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 JournalArticleAcademic

thermodynamics
protein
heat capacity
meta-analysis
hydrophobicity
Open Access
Aurora Kinase A
Colorectal Neoplasms
Cell Line
Protein Interaction Maps
Genes

Aurora kinase A (AURKA) interaction with Wnt and Ras-MAPK signalling pathways in colorectal cancer

Jacobsen, A., Bosch, L. J. W., Martens-De Kemp, S. R., Carvalho, B., Sillars-Hardebol, A. H., Dobson, R. J., De Rinaldis, E., Meijer, G. A., Abeln, S., Heringa, J., Fijneman, R. J. A. & Feenstra, K. A., 14 May 2018, In : Scientific Reports. 8, 1, p. 7522 7522.

Research output: Contribution to JournalArticleAcademicpeer-review

Open Access
Aurora Kinase A
Colorectal Neoplasms
Cell Line
Protein Interaction Maps
Genes

Prizes

NWO Veni

Sanne Abeln (Recipient), 2011

PrizeAcademic