K. Anton Feenstra
According to our database1, K. Anton Feenstra authored at least 30 papers between 1999 and 2021.
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Predicting the relationships between gut microbiota and mental disorders with knowledge graphs.
Health Inf. Sci. Syst., 2021
A framework for exhaustive modelling of genetic interaction patterns using Petri nets.
Proceedings of the Encyclopedia of Bioinformatics and Computational Biology - Volume 2, 2019
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.
PLoS Comput. Biol., 2019
SeRenDIP: SEquential REmasteriNg to DerIve profiles for fast and accurate predictions of PPI interface positions.
PLoS Comput. Biol., 2018
Training for translation between disciplines: a philosophy for life and data sciences curricula.
Seeing the trees through the forest: sequence-based homo- and heteromeric protein-protein interaction sites prediction using random forest.
BioASF: a framework for automatically generating executable pathway models specified in BioPAX.
Sequence specificity between interacting and non-interacting homologs identifies interface residues - a homodimer and monomer use case.
BMC Bioinform., 2015
Proceedings of the 2015 International Conference on High Performance Computing & Simulation, 2015
Coarse-grained versus atomistic simulations: realistic interaction free energies for real proteins.
Proceedings of the Formal Methods in Macro-Biology - First International Conference, 2014
Hard-wired heterogeneity in blood stem cells revealed using a dynamic regulatory network model.
Bioinformatics and Systems Biology: bridging the gap between heterogeneous student backgrounds.
Briefings Bioinform., 2013
Proceedings of the 3rd International Workshop on Linked Science 2013, 2013
Enabling grand-canonical Monte Carlo: Extending the flexibility of GROMACS through the GromPy python interface module.
J. Comput. Chem., 2012
Nucleic Acids Res., 2010
BMC Bioinform., 2009
Executing multicellular differentiation: quantitative predictive modelling of C.elegans vulval development.
Executing multicellular differentiation: quantitative predictive modelling of <i>C.elegans</i> vulval development.
Proceedings of the FM 2009: Formal Methods, 2009
Multi-RELIEF: a method to recognize specificity determining residues from multiple sequence alignments using a Machine-Learning approach for feature weighting.
PRALINE<sup>TM</sup>: a strategy for improved multiple alignment of transmembrane proteins.
Proceedings of the Formal Methods in Systems Biology, First International Workshop, 2008
Nucleic Acids Res., 2007
A Feature Selection Algorithm for Detecting Subtype Specific Functional Sites from Protein Sequences for Smad Receptor Binding.
Proceedings of the Fifth International Conference on Machine Learning and Applications, 2006
Improving efficiency of large time-scale molecular dynamics simulations of hydrogen-rich systems.
J. Comput. Chem., 1999