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A Quantum Mechanics-Based Method to Predict Intramolecular Hydrogen Bond Formation Reflecting P-glycoprotein
Takuya Oguma1, Shota Uehara1, Kenji Nakahara1
1Laboratory for Medicinal Chemistry Research and Laboratory for Drug Discovery and Development, Shionogi Pharmaceutical Research Center, 1-1 Futaba-cho 3-chome, Toyonaka, Osaka 561-0825, Japan.
Intramolecular hydrogen bonding (IMHB) influences drug transport across the blood-brain barrier by affecting P-glycoprotein (P-gp) recognition. Predicting IMHB formation ratios aids in designing brain-penetrant drugs.
Area of Science:
- Medicinal Chemistry
- Neuroscience
- Computational Chemistry
Background:
- Blood-brain barrier (BBB) penetration is crucial for CNS drug efficacy, governed by passive permeability and active transport.
- P-glycoprotein (P-gp) is a key efflux transporter limiting BBB penetration.
- Intramolecular hydrogen bonding (IMHB) is a strategy to enhance passive permeability and reduce P-gp recognition.
Purpose of the Study:
- To investigate the impact of intramolecular hydrogen bonding formation ratios (IMHBRs) on P-gp recognition.
- To develop a quantum-mechanics-based method for predicting IMHBRs.
- To assess the broader applicability of the IMHBR prediction method for drug design.
Main Methods:
- Utilized quantum mechanics to develop a predictive method for IMHB formation ratios (IMHBRs).
- Correlated predicted IMHBRs with experimentally measured temperature coefficients from NMR.
- Evaluated the correlation between IMHBRs and P-gp efflux ratios for drug candidates.
Main Results:
- Predicted IMHBRs accurately reflected experimental NMR data.
- IMHBRs showed a strong correlation with P-gp efflux ratios, indicating their role in transporter recognition.
- The IMHBR prediction method was successfully applied to hNK2 receptor antagonists.
Conclusions:
- IMHB formation propensity is a critical factor influencing P-gp recognition and BBB penetration.
- The developed quantum-mechanics-based method provides a valuable tool for predicting IMHBRs.
- This predictive approach can guide the design of novel brain-penetrant therapeutics targeting various receptors.
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