Department of Biological Sciences, Institute of Structural and Molecular Biology, Birkbeck, University of London, London, United Kingdom.
PLoS One. 2012;7(5):e36612. doi: 10.1371/journal.pone.0036612. Epub 2012 May 8.
The search for druggable pockets on the surface of a protein is often performed on a single conformer, treated as a rigid body. Transient druggable pockets may be missed in this approach. Here, we describe a methodology for systematic in silico analysis of surface clefts across multiple conformers of the metastable protein α(1)-antitrypsin (A1AT). Pathological mutations disturb the conformational landscape of A1AT, triggering polymerisation that leads to emphysema and hepatic cirrhosis. Computational screens for small molecule inhibitors of polymerisation have generally focused on one major druggable site visible in all crystal structures of native A1AT. In an alternative approach, we scan all surface clefts observed in crystal structures of A1AT and in 100 computationally produced conformers, mimicking the native solution ensemble. We assess the persistence, variability and druggability of these pockets. Finally, we employ molecular docking using publicly available libraries of small molecules to explore scaffold preferences for each site. Our approach identifies a number of novel target sites for drug design. In particular one transient site shows favourable characteristics for druggability due to high enclosure and hydrophobicity. Hits against this and other druggable sites achieve docking scores corresponding to a K(d) in the µM-nM range, comparing favourably with a recently identified promising lead. Preliminary ThermoFluor studies support the docking predictions. In conclusion, our strategy shows considerable promise compared with the conventional single pocket/single conformer approach to in silico screening. Our best-scoring ligands warrant further experimental investigation.
寻找蛋白质表面可成药口袋通常在单个构象上进行,将其视为刚体。在这种方法中,可能会错过瞬态可成药口袋。在这里,我们描述了一种系统的计算方法,用于分析不稳定蛋白α(1)-抗胰蛋白酶(A1AT)的多个构象的表面裂缝。病理性突变扰乱了 A1AT 的构象景观,引发聚合,导致肺气肿和肝硬化。聚合小分子抑制剂的计算筛选通常集中在所有天然 A1AT 晶体结构中可见的一个主要可成药位点上。在另一种方法中,我们扫描了 A1AT 晶体结构和 100 个计算产生的构象中观察到的所有表面裂缝,模拟了天然溶液集合。我们评估了这些口袋的持久性、可变性和可成药性。最后,我们使用分子对接方法,利用公开的小分子库,探索每个位点的支架偏好。我们的方法确定了一些用于药物设计的新靶位点。特别是一个瞬态位点由于高封闭性和疏水性而具有良好的成药性特征。针对该位点和其他可成药位点的命中结果达到了 docking 评分对应于µM-nM 范围内的 K(d),与最近鉴定的有前途的先导物相比具有优势。初步的 ThermoFluor 研究支持对接预测。总之,与传统的单口袋/单构象方法相比,我们的策略在计算筛选中显示出了很大的潜力。我们的最佳评分配体值得进一步的实验研究。