13 results on '"Venko, Katja"'
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2. Cheminformatics and Machine Learning Approaches to Assess Aquatic Toxicity Profiles of Fullerene Derivatives
3. Protein Condensates and Protein Aggregates: In Vitro, in the Cell, and In Silico
4. How Chemoinformatic Modeling Can Be Used to Explore Aquatic Toxicity of Fullerene Derivatives Using Human Proteins
5. How fullerene derivatives (FDs) act on therapeutically important targets associated with diabetic diseases
6. Prediction of Transmembrane Regions, Cholesterol, and Ganglioside Binding Sites in Amyloid-Forming Proteins Indicate Potential for Amyloid Pore Formation
7. A Comprehensive Cheminformatics Analysis of Structural Features Affecting the Binding Activity of Fullerene Derivatives
8. QSPR Models for Prediction of Aqueous Solubility: Exploring the Potency of Randić-type Indices
9. An In Silico Approach for Assessment of the Membrane Transporter Activities of Phenols: A Case Study Based on Computational Models of Transport Activity for the Transporter Bilitranslocase
10. In silico evaluation of toxicity towards honey bees with QSAR models
11. Counter-propagation artificial neural network models in read-across predictions of toxicity
12. Computational Approaches for Revealing the Structure of Membrane Transporters: Case Study on Bilitranslocase
13. Prediction of antiprion activity of therapeutic agents with structure–activity models
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