Schneider Hans-Jörg
FR Organische Chemie der Universität des Saarlandes, D 66123 Saarbrücken, Germany.
ACS Bio Med Chem Au. 2025 Apr 11;5(3):334-341. doi: 10.1021/acsbiomedchemau.4c00148. eCollection 2025 Jun 18.
The ΔG affinity of drugs with biopolymers and the underling noncovalent interactions play an essential role in drug discovery. Supramolecular complexes can be designed for the identification and quantification of specific interactions, including their dependence on the medium; they also secure the additivity of ΔΔG increments. Such analyses have helped to clarify hydrophobic effects in intermolecular associations, which are barely measurable with small alkyl groups, but large in the presence of curved surfaces in which the replacement of hydrogen bond-deficient water molecules by a ligand leads to sizable enthalpy gain. Difficult to predict entropy contributions TΔS to ΔG vary between 5% and over 90%, particularly in drug associations, as is obvious from literature data. As illustrated with several drug complexes, many so-called hydrophobic effects involve in fact van der Waals or dispersive interactions. Measurements with supramolecular porphyrin complexes allowed us to derive dispersive binding contributions for many groups, which exhibit a correlation with polarizability. In consequence, heteroatoms or π-systems always lead to enhanced van der Waals contributions, while for hydrophobic effects the opposite is expected. Binding contributions from supramolecular complexes can in the future also help artificial intelligence approaches in drug discovery, by expansion of hybrid databases with potential ligands containing groups with desired binding contributions.
药物与生物聚合物的ΔG亲和力以及潜在的非共价相互作用在药物发现中起着至关重要的作用。超分子复合物可用于识别和量化特定相互作用,包括它们对介质的依赖性;它们还确保了ΔΔG增量的加和性。此类分析有助于阐明分子间缔合中的疏水效应,小烷基几乎无法测量这种效应,但在存在弯曲表面的情况下,配体取代氢键缺失的水分子会导致可观的焓增,疏水效应就会很大。从文献数据可以明显看出,难以预测的熵贡献TΔS对ΔG的影响在5%到90%以上之间变化,尤其是在药物缔合中。正如几个药物复合物所示,许多所谓的疏水效应实际上涉及范德华力或色散相互作用。对超分子卟啉复合物的测量使我们能够得出许多基团的色散结合贡献,这些贡献与极化率相关。因此,杂原子或π体系总是会导致范德华力贡献增强,而对于疏水效应,预期情况则相反。超分子复合物的结合贡献未来还可通过用含有具有所需结合贡献基团的潜在配体扩展混合数据库,帮助药物发现中的人工智能方法。