Andrew Ferguson
Collective variable discovery and enhanced sampling in biomolecular simulation using autoencoders
(batp)May 2018 - Dec 2018
In Silico Hepatitis C Vaccine Design
(balt)Jun 2017 - Dec 2017
2019
G. R. Hart and A. L. Ferguson (2019): Computational design of hepatitis C virus immunogens from host-pathogen dynamics over empirical viral fitness landscapes, Physical Biology, IOP Publishing Ltd., Vol 16, Num 1, pp016004
Bryce A. Thurston, Ethan P. Shapera, John D. Tovar, André Schleife, and Andrew L. Ferguson (2019): Revealing the Sequence-Structure-Electronic Property Relation of Self-Assembling pi-Conjugated Oligopeptides by Molecular and Quantum Mechanical Modeling, Langmuir, American Chemical Society, Vol 35, Num 47, pp15221-15231
2018
Rachael A. Mansbach and Andrew L. Ferguson (2018): Patchy Particle Model of the Hierarchical Self-Assembly of pi-Conjugated Optoelectronic Peptides, Journal of Physical Chemistry B, American Chemical Society, Vol 122, Num 44, pp10219-10236
2017
Wesley F. Reinhart, Andrew W. Long, Michael P. Howard, Andrew L. Ferguson, and Athanassios Z. Panagiotopoulos (2017): Machine learning for autonomous crystal structure identification, Soft Matter, The Royal Society of Chemistry, Vol 13, Num 27, pp4733-4745
2019
Andrew Ferguson (2019): Discovery of Slow Kinetic Modes from Molecular Simulation Trajectories, 2019 Blue Waters Annual Report, pp256-257
2018
Andrew Ferguson and Greg Hart (2018): In Silico Vaccine Design through Empirical Fitness Landscapes and Population Dynamics, 2018 Blue Waters Annual Report, pp222-223
14 Illinois researchers selected for NCSA Fellowships
May 11, 2015
Fourteen faculty members at the University of Illinois at Urbana-Champaign have been selected to receive one-year fellowships that will enable their research teams to pursue collaborative projects with the National Center for Supercomputing Applications. NCSA's fellowship program aims to catalyze and develop long-term collaborations between the center and campus researchers, particularly in the center's six thematic areas of research: Bioinformatics and Health Sciences, Computing and Data Sciences, Culture and Society, Earth and Environment, Materials and Manufacturing, and Physics and Astronomy.
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