Computational design of an unnatural amino acid dependent metalloprotein with atomic level accuracy.
Genetically encoded unnatural amino acids could facilitate the design of proteins and enzymes of novel function, but correctly specifying sites of incorporation and the identities and orientations of surrounding residues represents a formidable challenge. Computational design methods have been used to identify optimal locations for functional sites in proteins and design the surrounding residues but have not incorporated unnatural amino acids in this process. We extended the Rosetta design methodology to design metalloproteins in which the amino acid (2,2'-bipyridin-5yl)alanine (Bpy-Ala) is a primary ligand of a bound metal ion. Following initial results that indicated the importance of buttressing the Bpy-Ala amino acid, we designed a buried metal binding site with octahedral coordination geometry consisting of Bpy-Ala, two protein-based metal ligands, and two metal-bound water molecules. Experimental characterization revealed a Bpy-Ala-mediated metalloprotein with the ability to bind divalent cations including Co(2+), Zn(2+), Fe(2+), and Ni(2+), with a Kd for Zn(2+) of ∼40 pM. X-ray crystal structures of the designed protein bound to Co(2+) and Ni(2+) have RMSDs to the design model of 0.9 and 1.0 Å respectively over all atoms in the binding site.
Department of Biochemistry and ⊥Biomolecular Structure and Design Program, University of Washington , Seattle, Washington, United States.
Jeremy H
JH
Mills
Sagar D
SD
Khare
Jill M
JM
Bolduc
Farhad
F
Forouhar
Vikram Khipple
VK
Mulligan
Scott
S
Lew
Jayaraman
J
Seetharaman
Liang
L
Tong
Barry L
BL
Stoddard
David
D
Baker
D000596:Amino Acids / Q000737:chemistry*; D003035:Cobalt / Q000737:chemistry*; D019295:Computational Biology; D008667:Metalloproteins / Q000138:chemical synthesis* / Q000737:chemistry / Q000302:isolation & purification; D008958:Models, Molecular; D015394:Molecular Structure
D000596:Amino Acids; D008667:Metalloproteins; D003035:Cobalt