This shareable PDF can be hosted on any platform or network and is fully compliant with publisher copyright.
This publication has not yet been explained in plain language by the author(s). However, you can still read the publication.
If you are one of the authors, claim this publication so you can create a plain language summary to help more people find, understand and use it.
This page is a summary of: Comparative QSAR Modeling for Predicting Anticancer Potency of
Imidazo[4,5-b]Pyridine Derivatives Using GA-MLR and BP-ANN Techniques, Letters in Drug Design & Discovery, December 2023, Bentham Science Publishers,
DOI: 10.2174/1570180820666221207121031.
You can read the full text:
The following have contributed to this page
