ArticleThe journal of physical chemistry. B2023
Network Hamiltonian Models for Unstructured Protein Aggregates, with Application to γD-Crystallin.
Article in The journal of physical chemistry. B, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 5 citations in OpenAlex.
- Article
- Production of Distinct Fibrillar, Oligomeric, and Other Aggregation States from Network Models of Multibody Interaction.Journal of chemical theory and computation · 2024Article
- Review
- Genetic Algorithm for Automated Parameterization of Network Hamiltonian Models of Amyloid Fibril Formation.The journal of physical chemistry. B · 2024Article
- Continuous Time Graph Processes with Known ERGM Equilibria: Contextual Review, Extensions, and Synthesis.The Journal of mathematical sociology · 2024Article
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
Network Hamiltonian models (NHMs) are a framework for topological coarse-graining of protein-protein interactions, in which each node corresponds to a protein, and edges are drawn between nodes representing proteins that are noncovalently bound. Here, this framework is applied to aggregates of γD-crystallin, a structural protein of the eye lens implicated in cataract disease. The NHMs in this study are generated from atomistic simulations of equilibrium distributions of wild-type and the cataract-causing variant W42R in solution, performed by Wong, E. K.; Prytkova, V.; Freites, J. A.; Butts, C. T.; Tobias, D. J. Molecular Mechanism of Aggregation of the Cataract-Related γD-Crystallin W42R Variant from Multiscale Atomistic Simulations.
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