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Miroslava Nedyalkova

Researcher at Sofia University

Publications -  52
Citations -  405

Miroslava Nedyalkova is an academic researcher from Sofia University. The author has contributed to research in topics: Medicine & Chemistry. The author has an hindex of 7, co-authored 45 publications receiving 196 citations. Previous affiliations of Miroslava Nedyalkova include University of Fribourg & Latvian Biomedical Research and Study centre.

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Iron oxide nanoparticles – In vivo/in vitro biomedical applications and in silico studies

TL;DR: The available computer models using molecular dynamics, Monte Carlo, and density functional theory are presented, as a basis for a complete understanding of the behaviour and morphology of functionalized IONPs, for improving NPs surface design and expanding the potential applications in nanomedicine.
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Biomedical Applications of Iron Oxide Nanoparticles: Current Insights Progress and Perspectives

TL;DR: The role of iron oxide nanoparticles in biomedical research is summarized to some extent and research studies dealing with the opportunities of combining different nanomaterials to achieve optimal systems for biomedical application are classified.
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Statistical and Machine Learning Techniques in Human Microbiome Studies: Contemporary Challenges and Solutions.

Isabel Moreno-Indias, +41 more
TL;DR: The COST Action CA18131 "ML4Microbiome" as discussed by the authors brings together microbiome researchers and machine learning experts to address current challenges such as standardization of analysis pipelines for reproducibility of data analysis results, benchmarking, improvement, or development of existing and new tools and ontologies.
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Calculating the Partition Coefficients of Organic Solvents in Octanol/Water and Octanol/Air

TL;DR: The obtained results indicate that the SMD continuum model in conjunction with any of the three DFT functionals agrees with the observed experimental values and the highest correlation to experimental data for the octanol/water partition coefficients was reached by the M11 functional.
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Molecular dynamics simulation of the spherical electrical double layer of a soft nanoparticle: Effect of the surface charge and counterion valence

TL;DR: It is obtained that Na(+) and Ca(2+) ions enter inside the soft nanoparticle, whereas divalent ions are more accumulated just in the plane of the nanoparticle surface sites.