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Updated: Jan 26, 2026

Subtype-selective Electroporation of Cortical Interneurons
Published on: August 18, 2014
Design and Identification of a Novel, Functionally Subtype Selective GABAA Positive Allosteric Modulator
Robert M Owen, David Blakemore, Lishuang Cao
1Worldwide Medicinal Chemistry Sandwich Laboratories , Pfizer Global Research and Development , Ramsgate Road , Sandwich , Kent CT13 9NJ , United Kingdom.
Researchers developed novel imidazopyridazine compounds to selectively modulate GABA-A receptors. This led to the identification of a clinical candidate, PF-06372865, for potential therapeutic applications.
Area of Science:
- Medicinal Chemistry
- Neuroscience
- Pharmacology
Background:
- GABA-A receptors are crucial targets for neurological disorders.
- Developing subtype-selective modulators presents significant challenges.
- Positive allosteric modulators (PAMs) offer a nuanced therapeutic approach.
Purpose of the Study:
- To design, optimize, and evaluate novel imidazopyridazine-based PAMs for GABA-A receptor subtypes.
- To achieve high functional selectivity for specific GABA-A receptor subtypes.
- To identify preclinical and clinical candidates for further development.
Main Methods:
- Iterative design and synthesis of imidazopyridazine compounds.
- Evaluation of binding affinity and functional activity at GABA-A receptor subtypes.
- Application of a probability-based assessment to prioritize development efforts.
- Preclinical safety studies and candidate selection.
Main Results:
- Multiple subseries of compounds were explored based on initial hits.
- Functional selectivity proved challenging to achieve across all subseries.
- A probability-based approach successfully focused efforts on a promising subseries.
- Two precandidates were identified and advanced to preclinical safety studies.
- The clinical candidate PF-06372865 was ultimately identified.
Conclusions:
- Novel imidazopyridazine-based PAMs targeting GABA-A receptors were successfully developed.
- A strategic, probability-based approach was effective in overcoming design challenges.
- The identified clinical candidate, PF-06372865, demonstrates the success of this optimization strategy.
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