理论(学习稳定性)
蛋白质工程
计算机科学
抗体
协议(科学)
计算生物学
化学
生物
免疫学
医学
生物化学
机器学习
酶
替代医学
病理
作者
Shuang Wang,Ming Liu,Dadi Zeng,Weiyi Qiu,Pingping Ma,Yun‐Zhou Yu,Hongyan Chang,Zhiwei Sun
出处
期刊:Proteins
[Wiley]
日期:2014-06-11
卷期号:82 (10): 2620-2630
被引量:13
摘要
Antibody stability is very important for expression, activity, specificity, and storage. This knowledge of antibody structure has made it possible for a computer-aided molecule design to be used to optimize and increase antibody stability. Many computational methods have been built based on knowledge or structure, however, a good integrated engineering system has yet to be developed that combines these methods. In the current study, we designed an integrated computer-aided engineering protocol, which included several successful methods. Mutants were designed considering factors that affected stability and multiwall filter screening was used to improve the design accuracy. Using this protocol, the thermo-stability of an anti-hVEGF antibody was significantly improved. Nearly 40% of the single-point mutants proved to be more stable than the parent antibody and most of the mutations could be stacked effectively. The T₅₀ also improved about 7°C by combinational mutation of seven sites in the light chain and three sites in the heavy chain. Data indicate that the protocol is an effective method for optimization of antibody structure, especially for improving thermo-stability. This protocol could also be used to enhance the stability of other antibodies.
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