Fan Keqiang, Ma Liang, Han Xiaofeng, Liang Huanhuan, Wei Ping, Liu Ying, Lai Luhua
State Key Laboratory of Structural Chemistry of Stable and Unstable Species, College of Chemistry, Peking University, Beijing 100871, China.
Biochem Biophys Res Commun. 2005 Apr 15;329(3):934-40. doi: 10.1016/j.bbrc.2005.02.061.
The 3C-like proteinase of severe acute respiratory syndrome coronavirus (SARS) has been proposed to be a key target for structural based drug design against SARS. We have designed and synthesized 34 peptide substrates and determined their hydrolysis activities. The conserved core sequence of the native cleavage site is optimized for high hydrolysis activity. Residues at position P4, P3, and P3' are critical for substrate recognition and binding, and increment of beta-sheet conformation tendency is also helpful. A comparative molecular field analysis (CoMFA) model was constructed. Based on the mutation data and CoMFA model, a multiply mutated octapeptide S24 was designed for higher activity. The experimentally determined hydrolysis activity of S24 is the highest in all designed substrates and is close to that predicted by CoMFA. These results offer helpful information for the research on the mechanism of substrate recognition of coronavirus 3C-like proteinase.
严重急性呼吸综合征冠状病毒(SARS)的3C样蛋白酶已被认为是基于结构的抗SARS药物设计的关键靶点。我们设计并合成了34种肽底物,并测定了它们的水解活性。对天然切割位点的保守核心序列进行了优化,以获得高水解活性。P4、P3和P3'位置的残基对于底物识别和结合至关重要,β-折叠构象倾向的增加也有帮助。构建了一个比较分子场分析(CoMFA)模型。基于突变数据和CoMFA模型,设计了一种具有更高活性的多重突变八肽S24。实验测定的S24水解活性在所有设计的底物中最高,且接近CoMFA预测值。这些结果为冠状病毒3C样蛋白酶底物识别机制的研究提供了有用信息。