Additive SMILES based optimal descriptors: QSPR modeling of fullerene C60 solubility in organic solvents

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Additive SMILES based optimal descriptors: QSPR modeling of fullerene C60 solubility in organic solvents is …
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scholarly articleQ13442814

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P356DOI10.1016/J.CPLETT.2007.07.024

P50authorJerzy LeszczynskiQ87193665
P2093author name stringDanuta Leszczynska
Andrey A. Toropov
Bakhtiyor F. Rasulev
P433issue1-3
P921main subjectfullereneQ178026
Quantitative Structure–Property RelationshipQ114737329
P304page(s)209-214
P577publication date2007-08-01
P1433published inChemical Physics LettersQ2600566
P1476titleAdditive SMILES based optimal descriptors: QSPR modeling of fullerene C60 solubility in organic solvents
P478volume444

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cites work (P2860)
Q56999511Application of ligand- and receptor-based approaches for prediction of the HIV-RT inhibitory activity of fullerene derivatives
Q54279902From basic physics to mechanisms of toxicity: the "liquid drop" approach applied to develop predictive classification models for toxicity of metal oxide nanoparticles.
Q56999548Immunotoxicity of nanoparticles: a computational study suggests that CNTs and C60 fullerenes might be recognized as pathogens by Toll-like receptors
Q56999573Improved model for fullerene C60 solubility in organic solvents based on quantum-chemical and topological descriptors
Q42098654Modeling the Dispersibility of Single Walled Carbon Nanotubes in Organic Solvents by Quantitative Structure-Activity Relationship Approach
Q42280379Receptor- and ligand-based study of fullerene analogues: comprehensive computational approach including quantum-chemical, QSAR and molecular docking simulations
Q51080160Study on the agonists for the human Toll-like receptor-8 by molecular modeling.
Q51488479Use 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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