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Published on: June 21, 2018
Problematic Attributions of Entropic and Hydrophobic Effects in Drug Interactions
1FR Organische Chemie der Universität des Saarlandes, D 66123 Saarbrücken, Germany.
Understanding drug-biopolymer interactions is key in drug discovery. Supramolecular complexes reveal that hydrophobic effects often involve van der Waals forces, aiding AI-driven drug design.
Area of Science:
- Chemical Biology
- Drug Discovery
- Supramolecular Chemistry
Background:
- Drug affinity and noncovalent interactions with biopolymers are crucial for drug discovery.
- Supramolecular complexes offer a method to identify, quantify, and understand specific interactions and their medium dependence.
- Accurate prediction of entropic contributions (TΔS) to binding free energy (ΔG) remains challenging, especially in drug associations.
Purpose of the Study:
- To clarify the nature of hydrophobic effects in intermolecular associations.
- To quantify dispersive binding contributions using supramolecular porphyrin complexes.
- To explore the utility of binding contribution data for artificial intelligence in drug discovery.
Main Methods:
- Design and utilization of supramolecular complexes for interaction analysis.
- Measurement of binding contributions, including van der Waals and dispersive forces.
- Correlation analysis of binding contributions with molecular properties like polarizability.
Main Results:
- Hydrophobic effects in some drug complexes are primarily due to van der Waals or dispersive interactions, not solely hydrophobicity.
- Dispersive binding contributions derived from supramolecular complexes correlate with molecular polarizability.
- Heteroatoms and π-systems enhance van der Waals contributions, contrary to typical hydrophobic effect expectations.
Conclusions:
- Supramolecular complex measurements provide valuable data on dispersive binding forces.
- This data can refine our understanding of noncovalent interactions in drug discovery.
- Future applications include expanding AI-driven drug discovery databases with specific binding contribution data.
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