TY - JOUR
T1 - The AbDesign computational pipeline for modular backbone assembly and design of binders and enzymes
AU - Lipsh‐Sokolik, Rosalie
AU - Listov, Dina
AU - Fleishman, Sarel J.
N1 - R. L. -S. is supported by a fellowship from the Arianne de Rothschild Women Doctoral Program. We thank Gideon Lapidoth and other past and current lab members who developed and tested the AbDesign workflow. The Weizmann Institute filed patents on AbDesign, PROSS, and FuncLib. Research was supported by the European Research Council (815379), the Israel Science Foundation(1844), the Volkswagen Foundation (94747) and by a charitable donation in memory of Sam Switzer.
PY - 2021/1
Y1 - 2021/1
N2 - The functional sites of many protein families are dominated by diverse backbone regions that lack secondary structure (loops) but fold stably into their functionally competent state. Nevertheless, the design of structured loop regions from scratch, especially in functional sites, has met with great difficulty. We therefore developed an approach, called AbDesign, to exploit the natural modularity of many protein families and computationally assemble a large number of new backbones by combining naturally occurring modular fragments. This strategy yielded large, atomically accurate, and highly efficient proteins, including antibodies and enzymes exhibiting dozens of mutations from any natural protein. The combinatorial backbone‐conformation space that can be accessed by AbDesign even for a modestly sized family of homologs may exceed the diversity in the entire PDB, providing the sub‐Ångstrom level of control over the positioning of active‐site groups that is necessary for obtaining highly active proteins. This manuscript describes how to implement the pipeline using code that is freely available at https://github.com/Fleishman-Lab/AbDesign_for_enzymes .
AB - The functional sites of many protein families are dominated by diverse backbone regions that lack secondary structure (loops) but fold stably into their functionally competent state. Nevertheless, the design of structured loop regions from scratch, especially in functional sites, has met with great difficulty. We therefore developed an approach, called AbDesign, to exploit the natural modularity of many protein families and computationally assemble a large number of new backbones by combining naturally occurring modular fragments. This strategy yielded large, atomically accurate, and highly efficient proteins, including antibodies and enzymes exhibiting dozens of mutations from any natural protein. The combinatorial backbone‐conformation space that can be accessed by AbDesign even for a modestly sized family of homologs may exceed the diversity in the entire PDB, providing the sub‐Ångstrom level of control over the positioning of active‐site groups that is necessary for obtaining highly active proteins. This manuscript describes how to implement the pipeline using code that is freely available at https://github.com/Fleishman-Lab/AbDesign_for_enzymes .
UR - http://www.scopus.com/inward/record.url?scp=85094601845&partnerID=8YFLogxK
U2 - https://doi.org/10.1002/pro.3970
DO - https://doi.org/10.1002/pro.3970
M3 - مقالة
SN - 0961-8368
VL - 30
SP - 151
EP - 159
JO - Protein Science
JF - Protein Science
IS - 1
ER -