Found: 18
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Natural compounds as potential adjuvants to cancer therapy: Preclinical evidence.
- Published in:
- 2019
- By:
- Publication type:
- journal article
Hypoglycemic Efficacy of Docking Selected Natural Compounds against α-Glucosidase and α-Amylase.
- Published in:
- Molecules, 2018, v. 23, n. 9, p. 2260, doi. 10.3390/molecules23092260
- By:
- Publication type:
- Article
Theoretical Prediction of the Complex P-Glycoprotein Substrate Efflux Based on the Novel Hierarchical Support Vector Regression Scheme.
- Published in:
- Molecules, 2018, v. 23, n. 7, p. 1820, doi. 10.3390/molecules23071820
- By:
- Publication type:
- Article
In Silico Prediction of Intestinal Permeability by Hierarchical Support Vector Regression.
- Published in:
- International Journal of Molecular Sciences, 2020, v. 21, n. 10, p. 3582, doi. 10.3390/ijms21103582
- By:
- Publication type:
- Article
In Silico Prediction of PAMPA Effective Permeability Using a Two-QSAR Approach.
- Published in:
- International Journal of Molecular Sciences, 2019, v. 20, n. 13, p. 3170, doi. 10.3390/ijms20133170
- By:
- Publication type:
- Article
<i>In Silico</i> Prediction of Inhibition of Promiscuous Breast Cancer Resistance Protein (BCRP/ABCG2).
- Published in:
- PLoS ONE, 2014, v. 9, n. 3, p. 1, doi. 10.1371/journal.pone.0090689
- By:
- Publication type:
- Article
Prediction of Promiscuous P-Glycoprotein Inhibition Using a Novel Machine Learning Scheme.
- Published in:
- PLoS ONE, 2012, v. 7, n. 3, p. 1, doi. 10.1371/journal.pone.0033829
- By:
- Publication type:
- Article
Prediction of N-Methyl-D-Aspartate Receptor GluN1-Ligand Binding Affinity by a Novel SVM-Pose/SVM-Score Combinatorial Ensemble Docking Scheme.
- Published in:
- Scientific Reports, 2017, p. 40053, doi. 10.1038/srep40053
- By:
- Publication type:
- Article
In Silico Approaches to Identify Polyphenol Compounds as α-Glucosidase and α-Amylase Inhibitors against Type-II Diabetes.
- Published in:
- Biomolecules (2218-273X), 2021, v. 11, n. 12, p. 1877, doi. 10.3390/biom11121877
- By:
- Publication type:
- Article
In silico Prediction of Skin Sensitization: Quo vadis ?
- Published in:
- Frontiers in Pharmacology, 2021, v. 11, p. N.PAG, doi. 10.3389/fphar.2021.655771
- By:
- Publication type:
- Article
The perceptions of natural compounds against dipeptidyl peptidase 4 in diabetes: from in silico to in vivo.
- Published in:
- Therapeutic Advances in Chronic Disease, 2019, v. 10, p. 1, doi. 10.1177/2040622319875305
- By:
- Publication type:
- Article
The perceptions of natural compounds against dipeptidyl peptidase 4 in diabetes: from in silico to in vivo.
- Published in:
- Therapeutic Advances in Chronic Disease, 2019, v. 10, p. 1, doi. 10.1177/2040622319875305
- By:
- Publication type:
- Article
Prediction of human cytochrome P450 2B6-substrate interactions using hierarchical support vector regression approach.
- Published in:
- Journal of Computational Chemistry, 2009, v. 30, n. 12, p. 1899, doi. 10.1002/jcc.21190
- By:
- Publication type:
- Article
Predicting Mutagenicity of Aromatic Amines by Various Machine Learning Approaches.
- Published in:
- Toxicological Sciences, 2010, v. 116, n. 2, p. 498, doi. 10.1093/toxsci/kfq159
- By:
- Publication type:
- Article
Natural compounds as potential adjuvants to cancer therapy: Preclinical evidence.
- Published in:
- British Journal of Pharmacology, 2020, v. 177, n. 6, p. 1409, doi. 10.1111/bph.14816
- By:
- Publication type:
- Article
Encapsulation of 16-Hydroxycleroda-3,13-Dine-16, 15-Olide in Mesoporous Silica Nanoparticles as a Natural Dipeptidyl Peptidase-4 Inhibitor Potentiated Hypoglycemia in Diabetic Mice.
- Published in:
- Nanomaterials (2079-4991), 2017, v. 7, n. 5, p. 112, doi. 10.3390/nano7050112
- By:
- Publication type:
- Article
In Silico Prediction of Skin Permeability Using a Two-QSAR Approach.
- Published in:
- Pharmaceutics, 2022, v. 14, n. 5, p. 961, doi. 10.3390/pharmaceutics14050961
- By:
- Publication type:
- Article
Development of a Hierarchical Support Vector Regression-Based In Silico Model for Caco-2 Permeability.
- Published in:
- Pharmaceutics, 2021, v. 13, n. 2, p. 174, doi. 10.3390/pharmaceutics13020174
- By:
- Publication type:
- Article