EventsThe 16th International Electronic Conference on Synthetic Organic Chemistry
Published
This submission belongs to the session e. Computational Chemistry of the event The 16th International Electronic Conference on Synthetic Organic Chemistry
Published date
30 Oct, 2012
Citation
Earl Benjamin, Ellis Benjamin, Louise Sowers, Structural Understanding of the Pgp1 Protein Using a Computationally Generated Binding and Motif Matrix for Improved Cancer Treatments, in Proceedings of The 16th International Electronic Conference on Synthetic Organic Chemistry, 1 November–30 November 2012, MDPI: Basel, Switzerland, doi: 10.3390/ecsoc-16-01134
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Structural Understanding of the Pgp1 Protein Using a Computationally Generated Binding and Motif Matrix for Improved Cancer Treatments

Louise Sowers 1
1. The Richard Stockton College of New Jersey
Abstract
P-glycoprotein 1 (Pgp), also called multidrug resistance protein 1 (MDR1), is one of the most widely dispersed and effective transporters found in cancer resistances. This research works sought to use computational methods to understand structure and functional relationship using the binding energies and structural similarity of the lowest binding molecules. A series of 479 molecules including alkaloids, flavinoids, cyclic imides, lactams, lactones, NSAIDS, sulfanilamides, and known Pgp binders were bound to 3 Pgp crystal structures (35GU, 3G60, 3G61) . Computational results matched that of experimental result with a group of current pharmaceuticals which include Digoxin, Etoposide, Tacrolimus, and Paclitaxel maintaining the lowest energy (averaged over the three proteins). Similarity searches of the lowest binding molecules were conducted to determine important structural motifs. This research allows a better understanding of drug interaction towards the blockade of the function of Pgp.
Keywords
Pgp1
MDR1
Cancer treatement
Application of Connectivity Indices in Polymer Chemistry
Improving Drug Design for Resistances in Gram-Negative Bacteria