Andrew L Ferguson
Andrew L Ferguson
Associate Professor of Molecular Engineering, University of Chicago
Email confirmado em - Página inicial
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Citado por
Investigating the optimal size of anticancer nanomedicine
L Tang, X Yang, Q Yin, K Cai, H Wang, I Chaudhury, C Yao, Q Zhou, ...
Proceedings of the National Academy of Sciences 111 (43), 15344-15349, 2014
Promoting transparency and reproducibility in enhanced molecular simulations
Nature methods 16 (8), 670-673, 2019
The value of antimicrobial peptides in the age of resistance
M Magana, M Pushpanathan, AL Santos, L Leanse, M Fernandez, ...
The Lancet Infectious Diseases 20 (9), e216-e230, 2020
Translating HIV sequences into quantitative fitness landscapes predicts viral vulnerabilities for rational immunogen design
AL Ferguson, JK Mann, S Omarjee, T Ndung’u, BD Walker, ...
Immunity 38 (3), 606-617, 2013
Solubility and Molecular Conformations of n-Alkane Chains in Water
AL Ferguson, PG Debenedetti, AZ Panagiotopoulos
The Journal of Physical Chemistry B 113 (18), 6405-6414, 2009
Helical antimicrobial polypeptides with radial amphiphilicity
M Xiong, MW Lee, RA Mansbach, Z Song, Y Bao, RM Peek Jr, C Yao, ...
Proceedings of the National Academy of Sciences 112 (43), 13155-13160, 2015
Systematic determination of order parameters for chain dynamics using diffusion maps
AL Ferguson, AZ Panagiotopoulos, PG Debenedetti, IG Kevrekidis
Proceedings of the National Academy of Sciences 107 (31), 13597-13602, 2010
The Fitness Landscape of HIV-1 Gag: Advanced Modeling Approaches and Validation of Model Predictions by In Vitro Testing
JK Mann, JP Barton, AL Ferguson, S Omarjee, BD Walker, A Chakraborty, ...
PLoS computational biology 10 (8), e1003776, 2014
Nonlinear dimensionality reduction in molecular simulation: The diffusion map approach
AL Ferguson, AZ Panagiotopoulos, IG Kevrekidis, PG Debenedetti
Chemical Physics Letters 509 (1), 1-11, 2011
Machine learning and data science in soft materials engineering
AL Ferguson
Journal of Physics: Condensed Matter 30 (4), 043002, 2017
Molecular enhanced sampling with autoencoders: On‐the‐fly collective variable discovery and accelerated free energy landscape exploration
W Chen, AL Ferguson
Journal of computational chemistry 39 (25), 2079-2102, 2018
Mapping membrane activity in undiscovered peptide sequence space using machine learning
EY Lee, BM Fulan, GCL Wong, AL Ferguson
Proceedings of the National Academy of Sciences 113 (48), 13588-13593, 2016
Collective variable discovery and enhanced sampling using autoencoders: Innovations in network architecture and error function design
W Chen, AR Tan, AL Ferguson
The Journal of chemical physics 149 (7), 072312, 2018
Spin models inferred from patient-derived viral sequence data faithfully describe HIV fitness landscapes
K Shekhar, CF Ruberman, AL Ferguson, JP Barton, M Kardar, ...
Physical review E 88 (6), 062705, 2013
Machine learning for autonomous crystal structure identification
WF Reinhart, AW Long, MP Howard, AL Ferguson, AZ Panagiotopoulos
Soft Matter 13 (27), 4733-4745, 2017
What can machine learning do for antimicrobial peptides, and what can antimicrobial peptides do for machine learning?
EY Lee, MW Lee, BM Fulan, AL Ferguson, GCL Wong
Interface focus 7 (6), 20160153, 2017
Supramolecular polymorphism: Tunable electronic interactions within π-conjugated peptide nanostructures dictated by primary amino acid sequence
BD Wall, AE Zacca, AM Sanders, WL Wilson, AL Ferguson, JD Tovar
Langmuir 30 (20), 5946-5956, 2014
Integrating diffusion maps with umbrella sampling: Application to alanine dipeptide
AL Ferguson, AZ Panagiotopoulos, PG Debenedetti, IG Kevrekidis
The Journal of chemical physics 134 (13), 04B606, 2011
Machine learning force fields and coarse-grained variables in molecular dynamics: application to materials and biological systems
P Gkeka, G Stoltz, A Barati Farimani, Z Belkacemi, M Ceriotti, JD Chodera, ...
Journal of chemical theory and computation 16 (8), 4757-4775, 2020
Synthesis of polypeptides via bioinspired polymerization of in situ purified N-carboxyanhydrides
Z Song, H Fu, J Wang, J Hui, T Xue, LA Pacheco, H Yan, R Baumgartner, ...
Proceedings of the National Academy of Sciences 116 (22), 10658-10663, 2019
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