Curtis Goolsby Source Confirmed

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

Researcher

University of Arkansas at Fayetteville

faculty

2 h-index 10 pubs 8 cited

Research Areas

Protein Structure and Dynamics Computational Drug Discovery Methods Bioinformatics and Genomic Networks Molecular Biology Techniques and Applications

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OverviewAI-generated summary

Curtis Goolsby's research focuses on computational and theoretical approaches to understanding molecular dynamics, particularly in the context of biological systems. His work investigates the estimation of transition rates between different molecular states, a critical aspect for analyzing conformational changes in proteins and other biomolecules. He has explored methods for addressing challenges in transition rate estimation, including the 'embeddability problem,' and has applied these techniques to study specific biological transporters.

His publications also delve into the thermodynamic and kinetic characterization of these molecular dynamics, often utilizing a Riemannian framework. This approach allows for a detailed analysis of pathways and energy landscapes governing molecular movement. Goolsby has collaborated with researchers at the University of Arkansas at Fayetteville, including James Losey, Mahmoud Moradi, and Dylan S. Ogden, on multiple shared publications, contributing to a network of investigators in the field.

Metrics

  • h-index: 2
  • Publications: 10
  • Citations: 8

Selected Publications

  • Thermodynamic and Kinetic Analysis of Molecular Conformational Dynamics in a Riemannian Framework (2026) DOI
  • Transition rate estimation from along-the-path, unbiased, molecular dynamics simulations of a major facilitator superfamily transporter (2024) DOI
  • Addressing the Embeddability Problem in Transition Rate Estimation (2023) DOI
  • Addressing the embeddability problem in transition rate estimation from Markov state models (2022) DOI
  • Conformational Transition Pathway of GkPOT (2021) DOI
  • Thermodynamic and Kinetic Characterization of Protein Conformational Dynamics within a Riemannian Framework (2021) DOI

Collaborators

Researchers in the database who share publications

James Losey University of Arkansas at Fayetteville 4 shared publications Mahmoud Moradi University of Arkansas at Fayetteville 3 shared publications Dylan S. Ogden University of Arkansas at Fayetteville 1 shared publication

Similar Researchers

Based on overlapping research topics

Hope Woods University of Arkansas at Fayetteville
Protein Structure and Dynamics Computational Drug Discovery Methods Bioinformatics and Genomic Networks
Strong match 4 shared topics
Dylan S. Ogden University of Arkansas at Fayetteville
Protein Structure and Dynamics Computational Drug Discovery Methods Bioinformatics and Genomic Networks
Strong match 4 shared topics
A. E. Elkhouly University of Arkansas at Fayetteville
Protein Structure and Dynamics Computational Drug Discovery Methods Molecular Biology Techniques and Applications
Strong match 3 shared topics
Katherine M. Bullard University of Arkansas at Fayetteville
Protein Structure and Dynamics Bioinformatics and Genomic Networks Molecular Biology Techniques and Applications
Strong match 3 shared topics
Shivakumar Sonniala University of Arkansas at Fayetteville
Protein Structure and Dynamics Bioinformatics and Genomic Networks Molecular Biology Techniques and Applications
Strong match 3 shared topics
Srinivas Jayanthi University of Arkansas at Fayetteville
Protein Structure and Dynamics Bioinformatics and Genomic Networks Molecular Biology Techniques and Applications
Strong match 3 shared topics