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Deciphering the Atomic Mechanisms of Third-Generation Bisteric mTOR Inhibitors through Comparative Microsecond
Shipeng Zhang1, Jintu Huang1, Yuyin Yang1
1Joint International Research Laboratory of Synthetic Biology and Medicine, Ministry of Education, Guangdong Provincial Key Laboratory of Fermentation and Enzyme Engineering, Guangdong Provincial Engineering and Technology Research Center of Biopharmaceuticals, School of Biology and Biological Engineering, South China University of Technology, Guangzhou 510006, China.
Third-generation bisteric inhibitors show promise for overcoming resistance to mTOR inhibitors in cancer therapy. Optimizing linker length enhances their binding affinity by stabilizing the mTOR catalytic cleft.
Area of Science:
- Biochemistry
- Molecular Biology
- Pharmacology
Background:
- The mammalian target of rapamycin (mTOR) is crucial for cell growth and a significant target in cancer therapy.
- Existing mTOR inhibitors face challenges due to resistance mutations.
- Third-generation bisteric inhibitors offer a potential solution by targeting both allosteric and orthosteric sites.
Purpose of the Study:
- To elucidate the atomic mechanisms of third-generation bisteric inhibitors targeting mTOR.
- To understand the role of linker design in the efficacy of these inhibitors.
- To provide insights for designing next-generation mTOR inhibitors.
Main Methods:
- Microsecond molecular dynamics simulations were employed.
- Six mTOR-bisteric inhibitor complexes were analyzed.
- Binding affinity and conformational stability were assessed.
Main Results:
- Bisteric inhibitors were found to stabilize the mTOR catalytic cleft.
- Inhibitor potency correlated positively with the degree of cleft closure.
- Optimal linker length was identified as critical for promoting a closed and stable mTOR conformation, thereby enhancing binding affinity.
Conclusions:
- Atomic-level insights into mTOR-bisteric inhibitor interactions were gained.
- Linker design is a key factor in optimizing the efficacy of mTOR inhibitors.
- These findings can guide the rational design of novel mTOR-targeted cancer therapies.
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