Date of Award

Fall 2001

Document Type

Thesis

Degree Name

Master of Science in Computational Biology - (M.S.)

Department

Federated Department of Biological Sciences

First Advisor

Carol A. Venanzi

Second Advisor

Michael Recce

Third Advisor

Tamara M. Gund

Abstract

Protonated methylphenidate (pMP) and several phenyl-substituted pMP analogs were analyzed using Comparative Molecular Field Analysis (CoMFA) to develop a pharmacophore for dopamine transporter (DAT) binding. This research is a part of an interdisciplinary study on using methylphenidate (MP) analogs to block the binding of cocaine to the DAT as a treatment for addiction.

A random search conformational analysis using key pMP torsional angles was performed to create conformer families representing possible bioactive conformations. The lowest energy pMP conformer of each family was used as a template to create phenyl-substituted pMP analogs.

Partial least squares analysis was used to determine the combination of electrostatic and steric cutoffs that yielded the highest predictability (q 2) . q 2 values above 0.5 were achieved for all conformer families. The best model was used to propose a pharmacophore to predict DAT binding affinity. The results were compared to a previous CoMFA study on neutral MP.

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