Anna Rybińska‐Fryca

Computer Science · Physical Sciences

12h-index607citations25works0.02yr avg
OpenAlex↗ORCID↗Google Scholar↗

Accepting Students?

No reports yet. Know if this professor is taking students?

Research Topics

Computational Drug Discovery Methods(11), Ionic liquids properties and applications(11), Chemistry and Chemical Engineering(7), Analytical Chemistry and Chromatography(5), Nanoparticles: synthesis and applications(4)

Publications25 total

NanoMixHamster: a web-based tool for predicting cytotoxicity of TiO<sub>2</sub>-based multicomponent nanomaterials toward Chinese hamster ovary (CHO-K1) cells
Nanotoxicology·2022· 6 cited
AOP173 key event associated pathway predictor – online application for the prediction of benchmark dose lower bound (BMDLs) of a transcriptomic pathway involved in MWCNTs-induced lung fibrosis
Nanotoxicology·2022· 7 cited
Implementation of the Grouping and Read-Across Approach for the Prediction of Nanomaterials Ecotoxicity
SSRN Electronic Journal·2022Open Access
Implementation of the Grouping and Read-Across Approach for the Prediction of Nanomaterials Ecotoxicity
SSRN Electronic Journal·2022Open Access
How to use AOP to prioritize NanoQSAR model development?
Toxicology Letters·2021
How do the existing read-across frameworks work for nanomaterials?
Toxicology Letters·2021
Transcriptomics‐Based and AOP‐Informed Structure–Activity Relationships to Predict Pulmonary Pathology Induced by Multiwalled Carbon Nanotubes
Small·2021· 51 cited
Can an InChI for Nano Address the Need for a Simplified Representation of Complex Nanomaterials across Experimental and Nanoinformatics Studies?
Nanomaterials·2020· 58 citedOpen Access
Representation of the Structure—A Key Point of Building QSAR/QSPR Models for Ionic Liquids
Materials·2020· 15 citedOpen Access
How thermal stability of ionic liquids leads to more efficient TiO2-based nanophotocatalysts: Theoretical and experimental studies
Journal of Colloid and Interface Science·2020· 13 cited
Structure–activity prediction networks (SAPNets): a step beyond Nano-QSAR for effective implementation of the safe-by-design concept
Nanoscale·2020· 33 citedOpen Access
NanoSolveIT Project: Driving nanoinformatics research to develop innovative and integrated tools for in silico nanosafety assessment
Computational and Structural Biotechnology Journal·2020· 122 citedOpen Access
How the configurational changes influence on molecular characteristics. The alkyl 3-azido-2,3-dideoxy-D-hexopyranosides - Theoretical approach
Carbohydrate Research·2019· 3 cited
Virtual screening in the design of ionic liquids as environmentally safe bactericides
Green Chemistry·2019· 21 cited
Prediction of dielectric constant of ionic liquids
Journal of Molecular Liquids·2018· 53 cited
Chemoinformatic Approach to Assess Toxicity of Ionic Liquids
Methods in molecular biology·2018· 4 cited
Unsupervised Learning Methods and Similarity Analysis in Chemoinformatics
2017· 7 cited
Comment on “Filling environmental data gaps with QSPR for ionic liquids: Modeling n-octanol/water coefficient”
Journal of Hazardous Materials·2016· 1 cited
ILPC: simple chemometric tool supporting the design of ionic liquids
Journal of Cheminformatics·2016· 12 citedOpen Access
How the structure of ionic liquid affects its toxicity to Vibrio fischeri?
Chemosphere·2016· 53 cited
page 1 of 2Next →

Frequent Co-authors

Tomasz Puzyn(25), Anita Sosnowska(13), Maciej Barycki(8), Karolina Jagiełło(8), Maciej Gromelski(6), Monika Grzonkowska(5), Alicja Mikołajczyk(5), Sabina Halappanavar(3), Martina G. Vijver(3), Willie J.G.M. Peijnenburg(3), Amélie Châtel(3), Andrew Barrick(3), Nicolas Manier(3), Judit Kálmán(3), José M. Navas(3), Antreas Afantitis(2), Georgia Melagraki(2), Andreas Tsoumanis(2), Anastasios G. Papadiamantis(2), Haralambos Sarimveis(2)