抗体H3结构预测。

Department of Statistics, University of Oxford, 24-29 St Giles', Oxford OX1 3LB, United Kingdom.

Comput Struct Biotechnol J. 2017 Feb 1;15:222-231. doi: 10.1016/j.csbj.2017.01.010. eCollection 2017.

Antibodies are proteins of the immune system that are able to bind to a huge variety of different substances, making them attractive candidates for therapeutic applications. Antibody structures have the potential to be useful during drug development, allowing the implementation of rational design procedures. The most challenging part of the antibody structure to experimentally determine or model is the H3 loop, which in addition is often the most important region in an antibody's binding site. This review summarises the approaches used so far in the pursuit of accurate computational H3 structure prediction.

抗体是免疫系统中的蛋白质，能够与种类繁多的不同物质结合，这使其成为治疗应用的理想候选物。抗体结构在药物开发过程中具有潜在用途，可用于实施合理的设计程序。抗体结构中最难通过实验确定或建模的部分是H3环，此外它通常也是抗体结合位点中最重要的区域。本综述总结了迄今为止在追求准确计算H3结构预测方面所使用的方法。