IN SILICO PROFILING OF THE NEW ALLOSTERIC MODULATOR OF AMPA RECEPTORS.

Area of Science:

• Pharmacology
• Computational Chemistry
• Neuroscience

Background:

• TCT-9 is a novel compound designed to modulate AMPA receptors, showing promise for treating cognitive impairments.
• Previous research confirmed TCT-9's receptor affinity and cognitive-enhancing effects in mice.
• This study focuses on secondary pharmacodynamics to identify potential off-target effects and network interactions.

Purpose of the Study:

• To computationally predict the pharmacological activity and mechanisms of action of TCT-9.
• To investigate potential off-target effects and interactions with signaling and metabolic pathways.
• To guide experimental validation of TCT-9's interactions with specific targets, such as ERR1.

Main Methods:

• In silico analysis of structure-activity relationships for TCT-9.
• Prediction of biological activity spectra using PASS (Prediction of Activity Spectra for Substances).
• Assessment of target pathways using the PharmaExpert program.

Main Results:

• Computational predictions identified potential interactions of TCT-9 with various biological targets and pathways.
• The study flagged potential binding to the steroid hormone receptor ERR1.
• Results provide a basis for experimental verification of TCT-9's off-target effects and mechanisms.

Conclusions:

• In silico methods effectively predicted TCT-9's pharmacological profile and potential interactions.
• Further experimental studies are warranted to confirm predicted off-target effects and therapeutic mechanisms.
• This computational approach aids in the drug development process for TCT-9.