Curtis Goolsby
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Researcher
Faculty Researcher
Research Areas
Biography and Research Information
OverviewAI-generated summary
Curtis Goolsby's research focuses on computational methods for analyzing molecular dynamics, particularly in the context of protein conformational changes and transition rate estimation. His work has explored the application of Markov state models and Riemannian frameworks to understand the thermodynamics and kinetics of these molecular processes. Goolsby has investigated transition rate estimation from molecular dynamics simulations, addressing challenges like the embeddability problem. He has also studied specific biological systems, such as major facilitator superfamily transporters and the protein GkPOT, to characterize their conformational dynamics and pathways.
Goolsby has a record of 10 publications with 8 citations and an h-index of 2. He has collaborated with researchers at the University of Arkansas at Fayetteville, including James Losey (4 shared publications), Mahmoud Moradi (3 shared publications), and Dylan S. Ogden (1 shared publication). His most recent publication is from 2026, indicating recent activity in his field.
Metrics
- h-index: 2
- Publications: 10
- Citations: 8
Selected Publications
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Thermodynamic and Kinetic Analysis of Molecular Conformational Dynamics in a Riemannian Framework (2026)
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BPS2025 - Along-the-path Markov models for state transition in a major facilitator superfamily transporter (2025)
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Transition rate estimation from along-the-path, unbiased, molecular dynamics simulations of a major facilitator superfamily transporter (2024)
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Addressing the Embeddability Problem in Transition Rate Estimation (2023)
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Addressing the embeddability problem in transition rate estimation from Markov state models (2022)
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Conformational Transition Pathway of GkPOT (2021)
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Thermodynamic and Kinetic Characterization of Protein Conformational Dynamics within a Riemannian Framework (2021)
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Addressing the Embeddability Problem in Transition Rate Estimation (2019)
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Thermodynamic and Kinetic Characterization of Protein Conformational Dynamics within a Riemannian Diffusion Formalism (2019)
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Overcoming the Embeddability Problem: A More Robust Calculation of Kinetic Information from Sparsely Sampled Molecular Dynamics Simulations (2019)
Collaboration Network
Top Collaborators
- Addressing the Embeddability Problem in Transition Rate Estimation
- Thermodynamic and Kinetic Characterization of Protein Conformational Dynamics within a Riemannian Framework
- Conformational Transition Pathway of GkPOT
- Addressing the embeddability problem in transition rate estimation from Markov state models
- Transition rate estimation from along-the-path, unbiased, molecular dynamics simulations of a major facilitator superfamily transporter
Showing 5 of 7 shared publications
- Addressing the Embeddability Problem in Transition Rate Estimation
- Thermodynamic and Kinetic Characterization of Protein Conformational Dynamics within a Riemannian Framework
- BPS2025 - Along-the-path Markov models for state transition in a major facilitator superfamily transporter
- Thermodynamic and Kinetic Analysis of Molecular Conformational Dynamics in a Riemannian Framework
- Addressing the Embeddability Problem in Transition Rate Estimation
- Addressing the embeddability problem in transition rate estimation from Markov state models
- Transition rate estimation from along-the-path, unbiased, molecular dynamics simulations of a major facilitator superfamily transporter
- BPS2025 - Along-the-path Markov models for state transition in a major facilitator superfamily transporter
- Addressing the Embeddability Problem in Transition Rate Estimation
- Addressing the embeddability problem in transition rate estimation from Markov state models
- Addressing the Embeddability Problem in Transition Rate Estimation
- Addressing the embeddability problem in transition rate estimation from Markov state models
- Transition rate estimation from along-the-path, unbiased, molecular dynamics simulations of a major facilitator superfamily transporter
- BPS2025 - Along-the-path Markov models for state transition in a major facilitator superfamily transporter
- Conformational Transition Pathway of GkPOT
- Conformational Transition Pathway of GkPOT
- Addressing the Embeddability Problem in Transition Rate Estimation
- Addressing the Embeddability Problem in Transition Rate Estimation
- Transition rate estimation from along-the-path, unbiased, molecular dynamics simulations of a major facilitator superfamily transporter
- Thermodynamic and Kinetic Analysis of Molecular Conformational Dynamics in a Riemannian Framework
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