GRAFTER - A COMPUTATIONAL AID FOR THE DESIGN OF NOVEL PROTEINS

被引:8
|
作者
HEARST, DP
COHEN, FE
机构
[1] UNIV CALIF SAN FRANCISCO,DEPT PHARMACEUT CHEM,SAN FRANCISCO,CA 94143
[2] UNIV CALIF SAN FRANCISCO,DEPT PHARMACOL MED & BIOCHEM & BIOPHYS,SAN FRANCISCO,CA 94143
来源
PROTEIN ENGINEERING | 1994年 / 7卷 / 12期
关键词
DISTANCE MATRIX; GEOMETRIC RECOGNITION; MOLECULAR MODELING; PROTEIN DESIGN; PROTEIN ENGINEERING;
D O I
10.1093/protein/7.12.1411
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
The GRAFTER suite of programs provides geometric search and evaluation functions that simplify and automate the process of identifying the best scaffolds for a particular structural moth. Three applications of the GRAFTER suite are presented. Potential grafts between lambda repressor and 434 repressor were identified that should change the DNA binding specificity of these repressors. These results are compared with site-directed mutagenesis experiments that have been shown to alter repressor-DNA binding specificity. Next, 26 loops from antibody structures were grouped into families of similar structure. Grafts of antibody loops onto a pre-existing scaffold are an essential component of antibody humanization, Finally, interleukin (IL)-4 was searched as a scaffold that might accept the graft of a five residue epitope from human growth hormone (hGH). The existence of a crystal structure of the hGH-hGH receptor complex, extensive mutagenesis studies of the hGH residues that contribute to the energetics of ligand-receptor interactions and the gross structural homology between hGH and IL-4 make this an appealing computational target. The approach presented here could aid the development of novel enzymes and binding proteins.
引用
收藏
页码:1411 / 1421
页数:11
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