Magdalena Krupa

Assistant professor

Institute of Computer Science, Polish Academy of Sciences
Country flagPoland

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About

Dr. Magdalena Krupa is an Assistant Professor at the Institute of Computer Science, Polish Academy of Sciences. Her research focuses on protein interaction studies and the robustness of neurotransmitter vesicle membranes. Recent publications include work on integrating models into the UNRES force field and exploring the effects of serotonin-induced perturbations.

Articles (2)

Fullerenes, particularly C60, exhibit unique properties that make them promising candidates for various applications, including drug delivery and nanomedicine. However, their interactions with biomolecules, especially proteins, remain not fully understood. This study implements both explicit and implicit C60 models into the UNRES coarse-grained force field, enabling the investigation of fullerene–protein interactions without the need for restraints to stabilize protein structures. The UNRES force field offers computational efficiency, allowing for longer timescale simulations while maintaining accuracy. Five model proteins were studied: FK506 binding protein, HIV-1 protease, intestinal fatty acid binding protein, PCB-binding protein, and hen egg-white lysozyme. Molecular dynamics simulations were performed with and without C60 to assess protein stability and investigate the impact of fullerene interactions. Analysis of contact probabilities reveals distinct interaction patterns for each protein. FK506 binding protein (1FKF) shows specific binding sites, while intestinal fatty acid binding protein (1ICN) and uteroglobin (1UTR) exhibit more generalized interactions. The explicit C60 model shows good agreement with all-atom simulations in predicting protein flexibility, the position of C60 in the binding pocket, and the estimation of effective binding energies. The integration of explicit and implicit C60 models into the UNRES force field, coupled with recent advances in coarse-grained modeling and multiscale approaches, provides a powerful framework for investigating protein–nanoparticle interactions at biologically relevant scales without the need to use restraints stabilizing the protein, thus allowing for large conformational changes to occur. These computational tools, in synergy with experimental techniques, can aid in understanding the mechanisms and consequences of nanoparticle–biomolecule interactions, guiding the design of nanomaterials for biomedical applications.

Year:

2024

Year:

2023

Collaborators (3)

Mai Suan Li

Institute of Physics, Polish Academy of Sciences

POLAND
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Pawel Krupa

Institute of Physics

POLAND
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Adam K. Sieradzan

University of Gdańsk

POLAND
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