openmolecules.org Forum: Cheminformatics » Dealing with multiple "0% inhibition" results in HTS tests

Home » DataWarrior » Cheminformatics » Dealing with multiple "0% inhibition" results in HTS tests

Show: Today's Messages :: Polls :: Message Navigator

Dealing with multiple "0% inhibition" results in HTS tests [message #1603]

Thu, 28 April 2022 11:25

Christophe
Messages: 28
Registered: January 2022

Junior Member

Hello everyone

In medicinal chemistry, batches of molecules are tested using high-throughput screening methods constraint with a concentration threshold. For example, the whole batch is used at 1 µM and an efficacy (e.g. % inhibition) is measured at this concentration.

DW allows to calculate a ligand efficiency with these results. This is to be taken with caution as it requires extrapolating a delta G from the % inhibition.

My question: How to deal with molecules that are below their effective concentration (0% inhibition) and for which no ligand efficiency can be calculated? These molecules (more exactly all these zero results) may prevent the calculation of important parameters and/or ruin analyses such as Partial Least Squared Regression for example.
Should one remove all these zeros and retain only the molecules with activity? Is there a reasonable way to code these molecules so that the structural information they carry can still be used in some analyses?
I tried to use categorical variables and it helped for a bit. But does anyone have more experience in this area than I do?
Thanks
Best regards

Report message to a moderator

Re: Dealing with multiple "0% inhibition" results in HTS tests [message #1667 is a reply to message #1603]

Tue, 12 July 2022 07:14

sansun
Messages: 45
Registered: April 2019

Member

Hi

There are many ways by which you can use the structural information of inactive compounds in medicinal chemistry. You can use these molecules to validate your computational models, e.g. QSAR, pharmacophore, docking protocol, machine learning models etc.

e.g. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3438292/

Your model should be able to pick up active molecules while discard inactive ones.

You can also compare physicochemical properties of inactive and active molecules and find out the chemical space in which the probability of finding active molecules may increase for a particular target.

e.g. https://pubs.acs.org/doi/full/10.1021/acsomega.1c00104

I hope it helps!

SS

Report message to a moderator

Re: Dealing with multiple "0% inhibition" results in HTS tests [message #1688 is a reply to message #1667]

Tue, 19 July 2022 09:37

Christophe
Messages: 28
Registered: January 2022

Junior Member

Hi

I didn't check this post for a while.

Thanks for yours helpful comments.

Christophe

Report message to a moderator

Previous Topic:	t-SNE
Next Topic:	Metrics to use for UMAP analysis with SkelSpheres descriptor

Goto Forum:

-=] Back to Top [=-

[ Syndicate this forum (XML) ] [

] [

]

Current Time: Fri Apr 19 22:22:24 CEST 2024

Total time taken to generate the page: 0.03623 seconds