How can I calculate descriptors using Auto-Modeller?
To calculate descriptors on the current data set, click the Calculate descriptors on the current dataset button within the Auto-Modeller…
To calculate descriptors on the current data set, click the Calculate descriptors on the current dataset button within the Auto-Modeller…
A list and description of the descriptors used by the Auto-Modeller is available in Appendix 17.2 of the StarDrop Reference…
We have published several papers using the methods in the Auto-Modeller. They are: In most cases, our users apply the…
For example, I realised after the fact that the data contains a continuous value (1.23, 34.35, etc) but also “>100”.…
Auto-Modeller doesn’t currently detect outliers when building models, it is dependent on a user’s own judgement. The Gaussian Processes methods…
Please check with your internal I.T team with admin access to the server. They can run the followi:ng commands “/etc/init.d/StarDrop_amg…
The scoring profiles were developed in collaboration with expert DMPK scientists. It is based on their experience of successful drug…
You can easily define scoring profiles to define the properties and criteria that you require for a high-quality compound for…
LogS is log uM, so a logS of 1 corresponds to a solubility of 10 uM.
No, StarDrop’s ADME QSAR model will not learn from your data. However, if you want to build ADME models based…
All of the models in StarDrop’s ADME QSAR module are rigorously validated using external, independent test sets. You can find…
In StarDrop, you can choose to cluster your data based on common substructure, chemical structure or property values. Structure and…
Every model prediction is associated with an estimate of its confidence. You can see these by clicking on the ‘show…
For the pKa models, the arrow is greyed out until you select some rows in your dataset. The pKa calculations…
The x- and y-axis are not labelled because the visual clustering method being used is a nonlinear reduction algorithm attempting…
From the manuscript “DOCKSTRING: Easy Molecular Docking Yields Better Benchmarks for Ligand Design”, Miguel García-Ortegón, Sergio Bacallado, et al¹ have developed…
Compounds with missing or unknown data will receive a representative score based on the rest of the data set with…
When exploring a chemical series, it can be very useful to visualise trends in potency and other properties using SAR…
The models are retrained on an ad hoc basis. The models we provide are intended to cover as much of…