Inhibitors of ABCG2-mediated multidrug resistance: Lead generation through computer-aided drug design
Laura Goracci1, Alessandra Nurisso2, Emile Roussel3
1Department of Chemistry, Biology and Biotechnology, University of Perugia, Italy.
Abstract:
Human breast cancer resistance protein (BCRP), known also as ABCG2, plays a major role in multiple drug resistance (MDR) in tumor cells. Through this ABC transporter, cancer cells acquire the ability of resistance to structurally and functionally unrelated anticancer drugs. Nowadays, the design of ABCG2 inhibitors as potential agents to enhance the chemotherapy efficacy is an interesting strategy. In this context, we have used computer-aided drug design (CADD) based on available data of a large series of potent inhibitors from our groups as an approach in guiding the design of effective ABCG2 inhibitors. We report therein the results on the use of the FLAPpharm method to elucidate the pharmacophoric features of one of the ABCG2 binding sites involved in the regulation of the basal ATPase activity of the transporter. The predictivity of the model was evaluated by testing three predicted compounds which were found to induce high inhibitory activity of BCRP, in the nanomolar range for the best of them.
Insights
Researchers designed novel breast cancer resistance protein (BCRP) inhibitors using computer-aided drug design. These inhibitors show high potential in overcoming chemotherapy resistance in cancer cells.
Area of Science:
- Pharmacology
- Biochemistry
- Computational Chemistry
Background:
- Human breast cancer resistance protein (BCRP), also known as ABCG2, is a key transporter involved in multidrug resistance (MDR) in cancer cells.
- Cancer cells utilize BCRP to develop resistance against various anticancer drugs, limiting treatment efficacy.
- Developing effective BCRP inhibitors is a crucial strategy to enhance chemotherapy outcomes.
Purpose of the Study:
- To design novel and effective inhibitors of breast cancer resistance protein (BCRP/ABCG2).
- To elucidate the pharmacophoric features of BCRP binding sites using computational methods.
- To guide the development of agents that can overcome chemotherapy resistance.
Main Methods:
- Utilized computer-aided drug design (CADD) approaches.
- Employed the FLAPpharm method to analyze pharmacophoric features of BCRP binding sites.
- Designed and synthesized novel compounds based on computational predictions.
Main Results:
- Successfully elucidated pharmacophoric features of a BCRP binding site regulating ATPase activity.
- Identified three novel compounds exhibiting high inhibitory activity against BCRP.
- Achieved nanomolar inhibitory activity with the most potent compound, demonstrating significant efficacy.
Conclusions:
- Computer-aided drug design is an effective strategy for developing potent BCRP inhibitors.
- The identified inhibitors hold promise for enhancing chemotherapy efficacy by overcoming BCRP-mediated drug resistance.
- Further development of these inhibitors could lead to improved cancer treatment strategies.
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