Spatial and Sequential Topological Analysis of Molecular Dynamics Simulations of IgG1 Fc Domains

Monoclonal antibodies are utilized in a wide range of biomedical applications. The NIST monoclonal antibody is a resource for developing analysis methods for monoclonal antibody based biopharmaceutical platforms. Techniques from topological data analysis quantify structural features such as loops and tunnels which are not easily measured by classical data analysis methods. In this paper, we introduce the Gaussian CROCKER column differences (GCCD) matrix, which augments standard topological data analysis summaries with biological sequence information. We use GCCD matrices to successfully differentiate between glycosylated and aglycosylated conformations from molecular dynamics simulations of the NIST monoclonal antibody Fc domain. We are optimistic that other researchers will be able to utilize GCCD matrices to quantify multiscale spatial and sequential features.

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Publication Details

Journal
Journal of Chemical Theory and Computation
Published
2025-04-22
DOI
https://doi.org/10.1021/acs.jctc.5c00161
Primary Topic
Monoclonal and Polyclonal Antibodies Research
Type
article
Field-Weighted Citation Impact
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article

Spatial and Sequential Topological Analysis of Molecular Dynamics Simulations of IgG1 Fc Domains

Anthony J. Kearsley, Christina Bergonzo, Melinda Kleczynski
1 links
Journal of Chemical Theory and Computation
Monoclonal and Polyclonal Antibodies Research
article

Spatial and Sequential Topological Analysis of Molecular Dynamics Simulations of IgG1 Fc Domains

Anthony J. Kearsley, Christina Bergonzo, Melinda Kleczynski
article en

Abstract

Monoclonal antibodies are utilized in a wide range of biomedical applications. The NIST monoclonal antibody is a resource for developing analysis methods for monoclonal antibody based biopharmaceutical platforms. Techniques from topological data analysis quantify structural features such as loops and tunnels which are not easily measured by classical data analysis methods. In this paper, we introduce the Gaussian CROCKER column differences (GCCD) matrix, which augments standard topological data analysis summaries with biological sequence information. We use GCCD matrices to successfully differentiate between glycosylated and aglycosylated conformations from molecular dynamics simulations of the NIST monoclonal antibody Fc domain. We are optimistic that other researchers will be able to utilize GCCD matrices to quantify multiscale spatial and sequential features.

Journal of Chemical Theory and ComputationVol. 21(9)
National Institute of Standards and Technology (US), National Institute of Standards (EG), Research Institute for Bioscience and Biotechnology (NP), Institute for Bioscience and Biotechnology Research
Openalex Percentile: Top 87%
Monoclonal and Polyclonal Antibodies Research
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Spatial and Sequential Topological Analysis of Molecular Dynamics Simulations of IgG1 Fc Domains — Anthony J. Kearsley, Christina Bergonzo, et al. · Journal of Chemical Theory and Computation (2025) | TGRS Research Map | TGRS