Towards structure-based protein drug design

被引:24
|
作者
Zhang, Changsheng [1 ]
Lai, Luhua [1 ,2 ]
机构
[1] Peking Univ, Beijing Natl Lab Mol Sci, State Key Lab Struct Chem Unstable & Stable Speci, Coll Chem & Mol Engn, Beijing 100871, Peoples R China
[2] Peking Univ, Ctr Theoret Biol, Beijing 100871, Peoples R China
基金
中国国家自然科学基金;
关键词
computational design; de nova design; grafting; protein drug; protein-protein docking; protein therapeutic; COMPUTATIONAL DESIGN; ANTIBODY THERAPY; HOT-SPOTS; INTERFACE; DISCOVERY; PAIR; THERAPEUTICS; POTENTIALS; RESIDUES; CANCER;
D O I
10.1042/BST0391382
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Structure-based drug design for chemical molecules has been widely used in drug discovery in the last 30 years. Many successful applications have been reported, especially in the field of virtual screening based on molecular docking. Recently, there has been much progress in fragment-based as well as de novo drug discovery. As many protein-protein interactions can be used as key targets for drug design, one of the solutions is to design protein drugs based directly on the protein complexes or the target structure. Compared with protein-ligand interactions, protein-protein interactions are more complicated and present more challenges for design. Over the last decade, both sampling efficiency and scoring accuracy of protein-protein docking have increased significantly. We have developed several strategies for structure-based protein drug design. A grafting strategy for key interaction residues has been developed and successfully applied in designing erythropoietin receptor-binding proteins. Similarly to small-molecule design, we also tested de novo protein-binder design and a virtual screen of protein binders using protein-protein docking calculations. In comparison with the development of structure-based small-molecule drug design, we believe that structure-based protein drug design has come of age.
引用
收藏
页码:1382 / 1386
页数:5
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