化学
分子内力
分子间力
计算化学
分子
小分子
非共价相互作用
化学物理
统计物理学
计算生物学
生物物理学
生物系统
立体化学
生物化学
氢键
物理
生物
有机化学
作者
Robert A. Pearlstein,Rebeca Mendez Planchart
标识
DOI:10.1021/acs.jmedchem.4c02935
摘要
The high clinical failure rate of small-molecule drugs is inarguably attributable to the lack of reliable predictions of chemical structure-efficacy-toxicity relationships that are applicable to native physiological conditions in humans. Existing predictions rely on empirical models of structure-free energy and structure-activity/property relationships derived from equilibrium data that break down under native nonequilibrium, nonlinear dynamic cellular conditions (where noncovalent inter- and intramolecular state transitions are governed strictly by free energy barriers (ΔG‡)). We have developed a first-principles, physics-based theory that connects the dots between (1) structure and ΔG‡ via the desolvation and resolvation costs of entering and exiting noncovalent intra- and intermolecular states, respectively; (2) ΔG‡, PK, and dynamic fractional drug-target and off-target occupancy (denoted as γ(t)); and (3) γ(t) and pharmaco- and toxicodynamic behaviors. Here, we overview our theory, together with its reduction to practice and potential to facilitate greatly improved predictions of human-relevant chemical structure-efficacy/toxicity relationships.
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