Structure-activity relationships for serotonin transporter and dopamine receptor selectivity

Area of Science:

• Pharmacology
• Computational Chemistry
• Medicinal Chemistry

Background:

• Antipsychotic medications target diverse receptors including serotonergic and dopaminergic.
• Clinical applications of antipsychotics extend to mood disorders, potentially via serotonergic pathways.

Purpose of the Study:

• Characterize molecular properties of antipsychotics.
• Develop a predictive model for dopamine D2 receptor and serotonin transporter specificity.

Main Methods:

• Utilized back-propagation artificial neural networks (ANNs) trained on 47 ligands.
• Encoded compound structures using 63 molecular descriptors.
• Optimized ANN parameters via sensitivity analyses.

Main Results:

• ANN models showed excellent agreement between predicted and actual clinical utility.
• Identified key molecular characteristics influencing D2 receptor and 5-HT transporter binding.
• External validation confirmed model predictive power for drugs with unknown mechanisms.

Conclusions:

• Developed SAR models highlight the importance of molecular size, shape, solubility, hydrogen bonding, electrostatics, stereochemistry, and nitrogen presence.
• The models and methods are valuable for the rational design of novel therapeutic agents.
• This approach facilitates targeted drug discovery for neuropsychiatric disorders.