Paul A. Bates
Orcid: 0000-0003-0621-0925
According to our database1,
Paul A. Bates
authored at least 20 papers
between 2002 and 2019.
Collaborative distances:
Collaborative distances:
Timeline
2002
2004
2006
2008
2010
2012
2014
2016
2018
0
1
2
3
4
5
6
1
1
4
2
1
1
1
5
1
1
1
1
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2019
PLoS Comput. Biol., 2019
Development of a Deep Learning Method to Predict Optimal Ablation Patterns for Atrial Fibrillation.
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2019
2017
IRaPPA: information retrieval based integration of biophysical models for protein assembly selection.
Bioinform., 2017
2016
Proceedings of the 28th International Symposium on Computer Architecture and High Performance Computing, 2016
2013
Characterizing Changes in the Rate of Protein-Protein Dissociation upon Interface Mutation Using Hotspot Energy and Organization.
PLoS Comput. Biol., 2013
BMC Syst. Biol., 2013
The scoring of poses in protein-protein docking: current capabilities and future directions.
BMC Bioinform., 2013
2012
Kinetic Rate Constant Prediction Supports the Conformational Selection Mechanism of Protein Binding.
PLoS Comput. Biol., 2012
A Structural Systems Biology Approach for Quantifying the Systemic Consequences of Missense Mutations in Proteins.
PLoS Comput. Biol., 2012
2011
Bioinform., 2011
2010
Bridging the gaps: atomic simulation of macromolecular environment brings together protein docking, interaction kinetics and the crowding effects.
BMC Bioinform., 2010
2009
Tipping the Balance: Robustness of Tip Cell Selection, Migration and Fusion in Angiogenesis.
PLoS Comput. Biol., 2009
2008
Artificial life as cancer research - embodied agent modelling of blood vessel growth in tumours.
Proceedings of the Eleventh International Conference on the Synthesis and Simulation of Living Systems, 2008
2006
J. Comput. Chem., 2006
Cluster analysis of networks generated through homology: automatic identification of important protein communities involved in cancer metastasis.
BMC Bioinform., 2006
Bioinform., 2006
Algorithms Mol. Biol., 2006
2002