Author
T. Gibbs
Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.
Biology Disciplines
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2020-2022 · peak 4/yrCo-Author Collaboration Network
10 top collaborators · 45 mutual co-author links7 papers
Recent·Most cited
Stability criteria for the consumption and exchange of essential resources
T. Gibbs, Y. Zhang, Z. R. Miller, J. P. O'Dwyer
The paper derives stability criteria for microbial communities based on resource exchange and consumption dynamics, showing that stability depends on resource environment and interaction network structure.
bioRxiv · Nov 24, 2021Ecology
#COVIDisAirborne: AI-Enabled Multiscale Computational Microscopy of Delta SARS-CoV-2 in a Respiratory Aerosol
A. Dommer, L. Casalino, F. Kearns, M. Rosenfeld, N. Wauer, S.-H. Ahn, J. Russo, S. Oliveira, C. Morris, A. Bogetti, A. Trifan, A. Brace, T. Sztain, A. Clyde, H. Ma, , Muholland
This paper uses AI-enabled multiscale computational microscopy to study SARS-CoV-2 Delta variant in respiratory aerosols, revealing atomic-level insights into airborne transmission.
bioRxiv · Nov 12, 2021Biophysics
Competition for water and species coexistence in phenologically structured annual plant communities
J. I. Levine, J. M. Levine, T. Gibbs, S. W. Pacala
The paper develops a model showing phenological variation can maintain high diversity in water-limited plant communities by allowing later species to escape competition and early species to benefit from growth-rate advantages.
bioRxiv · Oct 15, 2021Ecology
Intelligent Resolution: Integrating Cryo-EM with AI-driven Multi-resolution Simulations to Observe the SARS-CoV-2 Replication-Transcription Machinery in Action
A. Trifan, D. Gorgun, Z. Li, A. Brace, M. Zvyagin, H. Ma, A. R. Clyde, D. A. Clark, M. Salim, D. Hardy, T. Burnley, L. Huang, J. McCalpin, M. Emani, H. Yoo, , A. Ramanathan
This study develops an AI-driven multi-resolution simulation workflow to study SARS-CoV-2 RTC dynamics, combining cryo-EM with mesoscale simulations and AI methods.
bioRxiv · Oct 9, 2021 · PreprintBiophysics
AI-Driven Multiscale Simulations Illuminate Mechanisms of SARS-CoV-2 Spike Dynamics
L. Casalino, A. C. Dommer, Z. Gaieb, E. P. Barros, T. Sztain, S.-H. Ahn, A. Trifan, A. Brace, H. Ma, H. Lee, M. Turilli, A. Bogetti, S. Khalid, L. Chong, C. Simmerling, , R. E. Amaro
This paper develops an AI-driven workflow to simulate SARS-CoV-2 spike protein dynamics, revealing glycan shield structure, spike glycans' role in infectivity, and spike-ACE2 interactions.
bioRxiv · Nov 19, 2020Biophysics