Research Output per year
Personal profile
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Fingerprint Dive into the research topics where Anton Feenstra is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 2 Similar Profiles
Sequence Alignment
Medicine & Life Sciences
Proteins
Medicine & Life Sciences
Molecular Dynamics Simulation
Medicine & Life Sciences
Multiple Sequence Alignment
Mathematics
Alignment
Mathematics
Molecular dynamics
Chemical Compounds
Protein
Mathematics
Computational Biology
Medicine & Life Sciences
Network
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Research Output 1996 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
Reasoning about cell dynamics using network models
Jacobsen, A., 2019, 182 p.Research output: PhD Thesis › PhD Thesis - Research VU, graduation VU › Academic
Open Access
File
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. p. 1-3 3 p.Research output: Contribution to Journal › Article › Academic › peer-review
Open Access
Multiple Sequence Alignment
Workflow
Sequence Alignment
Work Flow
Alignment
The ability of transcription factors to differentially regulate gene expression is a crucial component of the mechanism underlying inversion, a frequently observed genetic interaction pattern
Amini, S., Jacobsen, A., Ivanova, O., Lijnzaad, P., Heringa, J., Holstege, F. C. P., Feenstra, K. A. & Kemmeren, P., 13 May 2019, In : PLoS Computational Biology. 15, 5, p. 1-27 27 p., e1007061.Research output: Contribution to Journal › Article › Academic › peer-review
Open Access
Transcription factors
Transcription Factor
Gene expression
Gene Expression
gene expression
Activities 2015 2017
- 8 Lecture / Presentation
Mitochondrial medicine avant la lettre, how the nuclear genome plays catchup to the process of mitochondrial genome degradation
K.A. Feenstra (Speaker), M.A. Huynen (Speaker)23 Feb 2017
Activity: Lecture / Presentation › Academic
Seeing the Trees through the Forest: Sequence-based Homo- and Heteromeric Protein-protein Interaction sites prediction using Random Forest
K.A. Feenstra (Speaker), Jaap Heringa (Speaker), Q. Hou (Speaker), Wim F. Vranken (Speaker)5 Apr 2017
Activity: Lecture / Presentation › Academic
CLUB-MARTINI: Selecting Favorable Interactions amongst Available Candidates, a Coarse-Grained Simulation approach to Scoring Docking Decoys
K.A. Feenstra (Speaker), Jaap Heringa (Speaker), Q. Hou (Speaker), Marc F Lensink (Speaker)19 Apr 2016
Activity: Lecture / Presentation › Academic
Advances in single molecule sequencing and applications
K.A. Feenstra (Speaker), W. Pirovano (Speaker)24 Aug 2016
Activity: Lecture / Presentation › Academic
CLUB-MARTINI: Selecting favorable interactions amongst available candidates: A coarse-grained simulation approach to scoring docking decoys.
K.A. Feenstra (Speaker), Jaap Heringa (Speaker), Q. Hou (Speaker), Marc F Lensink (Speaker)8 Dec 2015
Activity: Lecture / Presentation › Academic