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All datasets in the following list have been manually curated and tested by our experts. Click here to read more about the methodology we follow to get datasets in their present form.
Substructure Search: In order to search for matching substructures in QSAR-World datasets click here
To look for more datasets on other websites click here.
| 1 |
Percentage Human Oral Availability
Reference: Goodman & Gilman's The Pharmacological Basis of Therapeutics, 10/e, Ed. by Joel G. Hardman, Lee E. Limbird and Alfred Goodman Gilman, McGraw-Hill, pp. 1917-2023.
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| 2 |
Urinary Excretion
Reference: Goodman & Gilman's The Pharmacological Basis of Therapeutics, 10/e, Ed. by Joel G. Hardman, Lee E. Limbird and Alfred Goodman Gilman, McGraw-Hill, pp. 1917-2023.
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| 3 |
Percentage Plasma Binding
Reference: Goodman & Gilman's The Pharmacological Basis of Therapeutics, 10/e, Ed. by Joel G. Hardman, Lee E. Limbird and Alfred Goodman Gilman, McGraw-Hill, pp. 1917-2023.
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| 4 |
Clearance (ml/min/kg)
Reference: Goodman & Gilman's The Pharmacological Basis of Therapeutics, 10/e, Ed. by Joel G. Hardman, Lee E. Limbird and Alfred Goodman Gilman, McGraw-Hill, pp. 1917-2023.
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| 5 |
Volume of Distribution
Reference: Goodman & Gilman's The Pharmacological Basis of Therapeutics, 10/e, Ed. by Joel G. Hardman, Lee E. Limbird and Alfred Goodman Gilman, McGraw-Hill, pp. 1917-2023.
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| 6 |
Half-life
Reference: Goodman & Gilman's The Pharmacological Basis of Therapeutics, 10/e, Ed. by Joel G. Hardman, Lee E. Limbird and Alfred Goodman Gilman, McGraw-Hill, pp. 1917-2023.
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| 7 |
Peak Time
Reference: Goodman & Gilman's The Pharmacological Basis of Therapeutics, 10/e, Ed. by Joel G. Hardman, Lee E. Limbird and Alfred Goodman Gilman, McGraw-Hill, pp. 1917-2023.
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| 8 |
Peak Concentration
Reference: Goodman & Gilman's The Pharmacological Basis of Therapeutics, 10/e, Ed. by Joel G. Hardman, Lee E. Limbird and Alfred Goodman Gilman, McGraw-Hill, pp. 1917-2023.
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| 9 |
Prediction of Human Volume of Distribution Values for Neutral and Basic Drugs. 2. Extended Data Set and Leave-Class-Out Statistics
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| 10 |
VLA-4 integrin antagonists
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| 11 |
Prediction of intestinal absorption: comparative assessment of GASTROPLUSTM and IDEATM
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| 12 |
Rate-limited steps of human oral absorption and QSAR studies
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| 13 |
ADME evaluation: 2. A computer model for the prediction of intestinal absorption in humans
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| 14 |
Theoretically-derived molecular descriptors important in human intestinal absorption
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| 15 |
Experimental and Computational Screening Models for the Prediction of Intestinal Drug Absorption
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| 16 |
MDCK (Madin-Darby Canine Kidney) cells: a Tool for Membrane Permeability Screening
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| 17 |
Quantitative Estimation of Drug Absorption in Humans for Passively Transported Compounds on the Basis of Their Physico-chemical Parameters
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| 18 |
Molecular Hashkeys: A Novel Method for Molecular Characterization and Its Application for Predicting Important Pharmaceutical Properties of Molecules
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| 19 |
Rapid calculation of polar molecular surface area and its application to the prediction of transport phenomena. 1. Prediction of intestinal absorption
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| 20 |
Toward minimalistic modeling of oral drug absorption
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| 21 |
Prediction of Human Intestinal Absorption of Drug Compounds from Molecular Structure
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| 22 |
Polar Molecular Surface Properties Predict the Intestinal Absorption of Drugs in Humans
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| 23 |
Fast Calculation of Molecular Polar Surface Area as a Sum of
Fragment-Based Contributions and Its Application to the Prediction of Drug
Transport Properties
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| 24 |
CODES/Neural Network Model: a Useful Tool for in Silico Prediction of Oral Absorption and Blood-Brain Barrier Permeability of Structurally Diverse Drugs
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| 25 |
Predicting Passive Intestinal Absorption Using A Single Parameter
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| 26 |
Physicochemical High Throughput Screening: Parallel Artificial Membrane Permeation Assay in the Description of Passive Absorption Processes
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| 27 |
Computational Prediction of Oral Drug Absorption Based on Absorption Rate Constants in Humans
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| 28 |
A General Model for Prediction of Caco-2 Cell Permeability
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| 29 |
In silico ADME Modeling 3: Computational Models to Predict Human Intestinal Absorption Using Sphere Exclusion and kNN QSAR Methods
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| 30 |
Drug Liposome Partitioning as a Tool for the Prediction of Human Passive Intestinal Absorption
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| 31 |
In vitro Permeability Across Caco-2 Cells (Colonic) Can Predict in vivo (Small Intestinal) Absorption in Man - Fact or Myth
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| 32 |
Correlating Partitioning and Caco-2 Cell Permeability of Structurally Diverse Small Molecular Weight Compounds
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| 33 |
A Novel Approach for Prediction of Intestinal Absorption of Drugs in Humans based on Hydrogen Bond Descriptors and Structural Similarity
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| 34 |
Functional Role of P-Glycoprotein in Limiting Intestinal Absorption of Drugs: Contribution of Passive Permeability to P-Glycoprotein Mediated Efflux Transport
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| 35 |
hERG binding specificity and binding site structure: evidence from a fragment-based evolutionary computing SAR study
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| 36 |
Development, interpretation and temporal evaluation of a global QSAR of hERG electrophysiology screening data
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| 37 |
An Accurate and Interpretable Bayesian Classification Model for Prediction of hERG Liability
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| 38 |
QT prolongation through hERG K+ channel blockade: Current knowledge and strategies for the early prediction during drug development
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| 39 |
Correlation of Human Jejunal Permeability (in vivo) of Drugs with Experimentally and Theoretically Derived Parameters: A Multivariate Data Analysis Approach
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| 40 |
Prediction of hERG potassium channel affinity by traditional and hologram QSAR methods
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| 41 |
Toward a Pharmacophore for Drugs Inducing the Long QT Syndrome: Insights from a CoMFA Study of hERG K+ Channel Blockers
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| 42 |
Insights for Human Ether-a-Go-Go-Related Gene Potassium Channel Inhibition Using Recursive Partitioning and Kohonen and Sammon Mapping Techniques
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| 43 |
Molecular Properties That Influence the Oral Bioavailability of Drug Candidates
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| 44 |
Quantitative Structure-Activity Relationship Studies on Inhibition of HERG Potassium Channels
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| 45 |
Development and Evaluation of an in silico Model for hERG Binding
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| 46 |
Assessing the Reliability of a QSAR Model's Predictions
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| 47 |
Characterization of HERG potassium channel inhibition using CoMSiA 3D QSAR and homology modeling approaches
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| 48 |
A Mathematical Model for Prediction of Drug Molecule Diffusion Across the Blood-Brain Barrier
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