| scholarly article | Q13442814 |
| P356 | DOI | 10.1007/S11051-011-0238-X |
| P2888 | exact match | https://scigraph.springernature.com/pub.10.1007/s11051-011-0238-x |
| P50 | author | Jerzy Leszczynski | Q87193665 |
| P2093 | author name string | Danuta Leszczynska | |
| Andrey A. Toropov | |||
| Bakhtiyor F. Rasulev | |||
| Tetyana Petrova | |||
| P2860 | cites work | Additive SMILES based optimal descriptors: QSPR modeling of fullerene C60 solubility in organic solvents | Q56999609 |
| Density-functional thermochemistry. III. The role of exact exchange | Q25938987 | ||
| Choosing safe dispersing media for C60 fullerenes by using cytotoxicity tests on the bacterium Escherichia coli | Q43229295 | ||
| Accurate quantitative structure-property relationship model to predict the solubility of C60 in various solvents based on a novel approach using a least-squares support vector machine. | Q45965860 | ||
| New QSPR study for the prediction of aqueous solubility of drug-like compounds. | Q51871292 | ||
| Solubility of C60 | Q55899154 | ||
| Solubility of fullerene (C60) in a variety of solvents | Q55899157 | ||
| Topological indices based on topological distances in molecular graphs | Q56137591 | ||
| Multiplicative SMILES-based optimal descriptors: QSPR modeling of fullerene C60 solubility in organic solvents | Q56999605 | ||
| P433 | issue | 8 | |
| P921 | main subject | fullerene | Q178026 |
| P304 | page(s) | 3235-3247 | |
| P577 | publication date | 2011-02-05 | |
| P1433 | published in | Journal of Nanoparticle Research | Q6295622 |
| P1476 | title | Improved model for fullerene C60 solubility in organic solvents based on quantum-chemical and topological descriptors | |
| P478 | volume | 13 |
| Q56999511 | Application of ligand- and receptor-based approaches for prediction of the HIV-RT inhibitory activity of fullerene derivatives |
| Q56999520 | Causal inference methods to assist in mechanistic interpretation of classification nano-SAR models |
| Q31160070 | Compilation of Data and Modelling of Nanoparticle Interactions and Toxicity in the NanoPUZZLES Project |
| Q54279902 | From basic physics to mechanisms of toxicity: the "liquid drop" approach applied to develop predictive classification models for toxicity of metal oxide nanoparticles. |
| Q56999548 | Immunotoxicity of nanoparticles: a computational study suggests that CNTs and C60 fullerenes might be recognized as pathogens by Toll-like receptors |
| Q48145360 | Inhibitors or toxins? Large library target-specific screening of fullerene-based nanoparticles for drug design purpose. |
| Q42098654 | Modeling the Dispersibility of Single Walled Carbon Nanotubes in Organic Solvents by Quantitative Structure-Activity Relationship Approach |
| Q90746742 | NanoSolveIT Project: Driving nanoinformatics research to develop innovative and integrated tools for in silico nanosafety assessment |
| Q42280379 | Receptor- and ligand-based study of fullerene analogues: comprehensive computational approach including quantum-chemical, QSAR and molecular docking simulations |
| Q35187727 | Support vector machine classification of streptavidin-binding aptamers |
| Q51488479 | Use of quantitative structure-enantioselective retention relationship for the liquid chromatography chiral separation prediction of the series of pyrrolidin-2-one compounds. |
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