H
Hope Woods Data-verified
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Postdoctoral Fellow in Computational Bi
postdoc
11 h-index
42 pubs
380 cited
Research Areas
Links
Biography and Research Information
OverviewAI-generated summary
Hope Woods' research focuses on the application of computational methods to understand molecular and biological systems. Her work includes developing and employing computational modeling techniques, such as molecular docking simulations and comparative modeling, to investigate protein structures and their variations. Woods has published research on modeling immunity with Rosetta, focusing on antibody and antigen design, and on ensuring reproducibility in bio-macromolecular modeling through automated benchmarks. Her studies also delve into the structural analysis of specific proteins, including CFTR variants and rhodopsin variants, examining the molecular basis for changes in protein function and sensitivity to ligands like 9-cis-retinal. Additionally, she investigates methods for implicitly modeling membrane geometries in computational frameworks and explores generalizable predictions for G protein-coupled receptor variant expression.
Metrics
- h-index: 11
- Publications: 42
- Citations: 380
Selected Publications
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BPS2026 - Structural dynamics of sphingosine kinase 1 regulation and inhibition (2026)
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BPS2026 – Absolute physics-based binding free-energy estimation of antibody-antigen complexes (2026)
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Structural dynamics of sphingosine kinase 1 regulation and inhibition (2025)
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Structural dynamics of sphingosine kinase 1 regulation and inhibition (2025)
Collaboration Network
Top Collaborators
Jens Meiler
Vanderbilt University (US)
23 shared publications
- Modeling Immunity with Rosetta: Methods for Antibody and Antigen Design
- Structural Comparative Modeling of Multi-Domain F508del CFTR
- Computational modeling and prediction of deletion mutants
- Systematic profiling of temperature- and retinal-sensitive rhodopsin variants by deep mutational scanning
- Molecular basis for variations in the sensitivity of pathogenic rhodopsin variants to 9-cis-retinal
Showing 5 of 23 shared publications
Andrew G. McKee
Indiana University Bloomington (US)
17 shared publications
- Systematic profiling of temperature- and retinal-sensitive rhodopsin variants by deep mutational scanning
- Molecular basis for variations in the sensitivity of pathogenic rhodopsin variants to 9-cis-retinal
- Towards generalizable predictions for G protein-coupled receptor variant expression
- Molecular Basis for Variations in the Sensitivity of Pathogenic Rhodopsin Variants to 9- <i>cis</i> -Retinal
- Divergent folding-mediated epistasis among unstable membrane protein variants
Showing 5 of 17 shared publications
Charles P. Kuntz
Purdue University West Lafayette (US)
17 shared publications
- Systematic profiling of temperature- and retinal-sensitive rhodopsin variants by deep mutational scanning
- Molecular basis for variations in the sensitivity of pathogenic rhodopsin variants to 9-cis-retinal
- Towards generalizable predictions for G protein-coupled receptor variant expression
- Molecular Basis for Variations in the Sensitivity of Pathogenic Rhodopsin Variants to 9- <i>cis</i> -Retinal
- Divergent folding-mediated epistasis among unstable membrane protein variants
Showing 5 of 17 shared publications
Jonathan P. Schlebach
Purdue University West Lafayette (US)
17 shared publications
- Systematic profiling of temperature- and retinal-sensitive rhodopsin variants by deep mutational scanning
- Molecular basis for variations in the sensitivity of pathogenic rhodopsin variants to 9-cis-retinal
- Towards generalizable predictions for G protein-coupled receptor variant expression
- Molecular Basis for Variations in the Sensitivity of Pathogenic Rhodopsin Variants to 9- <i>cis</i> -Retinal
- Divergent folding-mediated epistasis among unstable membrane protein variants
Showing 5 of 17 shared publications
Wesley D. Penn
Indiana University Bloomington (US)
13 shared publications
- Molecular basis for variations in the sensitivity of pathogenic rhodopsin variants to 9-cis-retinal
- Molecular Basis for Variations in the Sensitivity of Pathogenic Rhodopsin Variants to 9- <i>cis</i> -Retinal
- Divergent folding-mediated epistasis among unstable membrane protein variants
- Divergent folding-mediated epistasis among unstable membrane protein variants
- Divergent Folding-Mediated Epistasis Among Unstable Membrane Protein Variants
Showing 5 of 13 shared publications
Laura M. Chamness
Indiana University Bloomington (US)
13 shared publications
- Molecular basis for variations in the sensitivity of pathogenic rhodopsin variants to 9-cis-retinal
- Molecular Basis for Variations in the Sensitivity of Pathogenic Rhodopsin Variants to 9- <i>cis</i> -Retinal
- Divergent folding-mediated epistasis among unstable membrane protein variants
- Divergent folding-mediated epistasis among unstable membrane protein variants
- Divergent Folding-Mediated Epistasis Among Unstable Membrane Protein Variants
Showing 5 of 13 shared publications
Christopher M. Hemmerich
Indiana University Bloomington (US)
11 shared publications
- Divergent folding-mediated epistasis among unstable membrane protein variants
- Divergent folding-mediated epistasis among unstable membrane protein variants
- Divergent Folding-Mediated Epistasis Among Unstable Membrane Protein Variants
- Reviewer #1 (Public Review): Divergent Pairwise Epistasis in the Context of Unstable Membrane Protein Variants
- Reviewer #2 (Public Review): Divergent Pairwise Epistasis in the Context of Unstable Membrane Protein Variants
Showing 5 of 11 shared publications
Douglas B. Rusch
Indiana University Bloomington (US)
11 shared publications
- Divergent folding-mediated epistasis among unstable membrane protein variants
- Divergent folding-mediated epistasis among unstable membrane protein variants
- Divergent Folding-Mediated Epistasis Among Unstable Membrane Protein Variants
- Reviewer #1 (Public Review): Divergent Pairwise Epistasis in the Context of Unstable Membrane Protein Variants
- Reviewer #2 (Public Review): Divergent Pairwise Epistasis in the Context of Unstable Membrane Protein Variants
Showing 5 of 11 shared publications
Dyotima Dyotima
Indiana University Bloomington (US)
11 shared publications
- Divergent folding-mediated epistasis among unstable membrane protein variants
- Divergent folding-mediated epistasis among unstable membrane protein variants
- Divergent Folding-Mediated Epistasis Among Unstable Membrane Protein Variants
- Reviewer #1 (Public Review): Divergent Pairwise Epistasis in the Context of Unstable Membrane Protein Variants
- Reviewer #2 (Public Review): Divergent Pairwise Epistasis in the Context of Unstable Membrane Protein Variants
Showing 5 of 11 shared publications
Shannon T. Smith
Vanderbilt University (US)
5 shared publications
- Modeling Immunity with Rosetta: Methods for Antibody and Antigen Design
- Ensuring scientific reproducibility in bio-macromolecular modeling via extensive, automated benchmarks
- Structural Comparative Modeling of Multi-Domain F508del CFTR
- Ensuring scientific reproducibility in bio-macromolecular modeling via extensive, automated benchmarks
- Structural comparative modeling of multi-domain ΔF508 CFTR
Mahmoud Moradi
University of Arkansas at Fayetteville
5 shared publications
In database
- BPS2025 - RSV fusion protein conformation transition pathway from prefusion to postfusion
- Structural dynamics of sphingosine kinase 1 regulation and inhibition
- Structural dynamics of sphingosine kinase 1 regulation and inhibition
- BPS2026 – A physics-based computational approach for absolute binding affinity calculations: A hemagglutinin-65C6 antibody application
- BPS2026 – Absolute physics-based binding free-energy estimation of antibody-antigen complexes
Georg Kuenze
Leipzig University (DE)
4 shared publications
- Modeling Immunity with Rosetta: Methods for Antibody and Antigen Design
- Ensuring scientific reproducibility in bio-macromolecular modeling via extensive, automated benchmarks
- Ensuring scientific reproducibility in bio-macromolecular modeling via extensive, automated benchmarks
- Design of a Chimeric KCNQ1 Channel for E. coli Expression and Studies of LQTS Variants
Clara T. Schoeder
Vanderbilt University (US)
4 shared publications
- Modeling Immunity with Rosetta: Methods for Antibody and Antigen Design
- Structural Comparative Modeling of Multi-Domain F508del CFTR
- Computational modeling and prediction of deletion mutants
- Structural comparative modeling of multi-domain ΔF508 CFTR
Julia Koehler Leman
Flatiron Health (United States) (US)
4 shared publications
- Ensuring scientific reproducibility in bio-macromolecular modeling via extensive, automated benchmarks
- Modeling membrane geometries implicitly in Rosetta
- Ensuring scientific reproducibility in bio-macromolecular modeling via extensive, automated benchmarks
- Modeling membrane geometries implicitly in Rosetta
Joseph T. Ortega
Case Western Reserve University (US)
4 shared publications
- Systematic profiling of temperature- and retinal-sensitive rhodopsin variants by deep mutational scanning
- Molecular basis for variations in the sensitivity of pathogenic rhodopsin variants to 9-cis-retinal
- Molecular Basis for Variations in the Sensitivity of Pathogenic Rhodopsin Variants to 9- <i>cis</i> -Retinal
- Systematic Profiling of Temperature- and Retinal-Sensitive Rhodopsin Variants by Deep Mutational Scanning
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