Monoamine transporter structure, function, dynamics, and drug discovery: a computational perspective.

Area of Science:

• Structural biology
• Neuroscience
• Computational chemistry

Background:

• The neurotransmitter/sodium symporter family is crucial for regulating neurotransmitter levels.
• The X-ray structure of LeuT, a bacterial homolog, provides a template for understanding related human transporters.
• Plasmalemmal monoamine transporters (MATs) are key targets for treating neurological and psychiatric disorders.

Purpose of the Study:

• To develop 3-D computational models of MATs based on the LeuT structure.
• To utilize these models for structure-function studies of MATs.
• To facilitate structure-based virtual screening for novel MAT ligands.

Main Methods:

• X-ray crystallography of LeuT.
• Development of 3-D computational models of MATs.
• Molecular dynamics simulations.
• Structure-based virtual screening.

Main Results:

• Successful crystallization of LeuT provided the first X-ray structure for the neurotransmitter/sodium symporter family.
• LeuT-based MAT models have been developed and used to study substrate and inhibitor binding pockets.
• Molecular dynamics simulations offer insights into the substrate translocation cycle of MATs.
• Structure-based virtual screening using MAT models has identified lead compounds.

Conclusions:

• Credible 3-D MAT models are now available for structure-function studies.
• These models are instrumental in guiding the discovery of novel ligands for MATs.
• This approach holds promise for developing new medications for disorders involving dopamine, norepinephrine, or serotonin dysregulation.