Valko Klara, Nunhuck Shenaz, Bevan Chris, Abraham Michael H, Reynolds Derek P
Computational, Analytical and Structural Sciences, GlaxoSmithKline, Gunnels Wood Road Stevenage, Herts. SG1 2NY United Kingdom.
J Pharm Sci. 2003 Nov;92(11):2236-48. doi: 10.1002/jps.10494.
A fast gradient HPLC method (cycle time 15 min) has been developed to determine Human Serum Albumin (HSA) binding of discovery compounds using chemically bonded protein stationary phases. The HSA binding values were derived from the gradient retention times that were converted to the logarithm of the equilibrium constants (logK HSA) using data from a calibration set of molecules. The method has been validated using literature plasma protein binding data of 68 known drug molecules. The method is fully automated, and has been used for lead optimization in more than 20 company projects. The HSA binding data obtained for more than 4000 compounds were suitable to set up global and project specific quantitative structure binding relationships that helped compound design in early drug discovery. The obtained HSA binding of known drug molecules were compared to the Immobilized Artificial Membrane binding data (CHI IAM) obtained by our previously described HPLC-based method. The solvation equation approach has been used to characterize the normal binding ability of HSA, and this relationship shows that compound lipophilicity is a significant factor. It was found that the selectivity of the "baseline" lipophilicity governing HSA binding, membrane interaction, and octanol/water partition are very similar. However, the effect of the presence of positive or negative charges have very different effects. It was found that negatively charged compounds bind more strongly to HSA than it would be expected from the lipophilicity of the ionized species at pH 7.4. Several compounds showed stronger HSA binding than can be expected from their lipophilicity alone, and comparison between predicted and experimental binding affinity allows the identification of compounds that have good complementarities with any of the known binding sites.
已开发出一种快速梯度高效液相色谱法(循环时间15分钟),用于使用化学键合蛋白质固定相测定发现化合物与人血清白蛋白(HSA)的结合。HSA结合值源自梯度保留时间,这些时间通过校准分子集的数据转换为平衡常数的对数(logK HSA)。该方法已使用68种已知药物分子的文献血浆蛋白结合数据进行了验证。该方法完全自动化,已用于20多个公司项目的先导优化。为4000多种化合物获得的HSA结合数据适合建立全局和项目特定的定量结构结合关系,这有助于早期药物发现中的化合物设计。将获得的已知药物分子的HSA结合与通过我们先前描述的基于HPLC的方法获得的固定化人工膜结合数据(CHI IAM)进行比较。溶剂化方程方法已用于表征HSA的正常结合能力,这种关系表明化合物亲脂性是一个重要因素。发现控制HSA结合、膜相互作用和正辛醇/水分配的“基线”亲脂性的选择性非常相似。然而,正电荷或负电荷的存在产生的影响非常不同。发现带负电荷的化合物比在pH 7.4下离子化物种的亲脂性预期的更强地结合到HSA上。几种化合物显示出比仅从其亲脂性预期更强的HSA结合,并且预测和实验结合亲和力之间的比较允许鉴定与任何已知结合位点具有良好互补性的化合物。