De novo design of knotted tandem repeat proteins
Year: 2023
Type: article
Abstract: De novo protein design methods can create proteins with folds not yet seen in nature. These methods largely focus on optimizing the compatibility between the designed sequence and the intended conformation, without explicit consideration of protein folding pathways. Deeply knotted proteins, whose topologies may introduce substantial barriers to folding, thus represent an interesting test case for protein design. Here we report our attempts to design proteins with trefoil (3 1 ) and pentafoil (5 1 ) knotted topologies. We extended previously described algorithms for tandem repeat protein design in order to construct deeply knotted backbones and matching designed repeat sequences ( N = 3 repeats for the trefoil and N = 5 for the pentafoil). We confirmed the intended conformation for the trefoil design by X ray crystallography, and we report here on this protein’s structure, stability, and folding behaviour. The pentafoil design misfolded into an asymmetric structure (despite a 5-fold symmetric sequence); two of the four repeat-repeat units matched the designed backbone while the other two diverged to form local contacts, leading to a trefoil rather than pentafoil knotted topology. Our results also provide insights into the folding of knotted proteins.
Source: Nature Communications
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: gold
Estimated APC paid: $6,290
Awards: G102163711, G107546177, G1286236842, G1313983767, G1337544421, G1664757510, G223002938, G2287611682, G2539837713, G262962599, G2638771445, G2857925935, G3075337988, G3083819904, A Pixel Array Detector System for Small Angle X-ray Scattering, G382641700, G409777406, G419881185, G42916606, G4501827968, G498139845, G5607048534, Pilatus 6m, Combined computational and structural studies to create novel macromolecular recognition properties, G6848031779, G6918803902, G7787287669, G8229677252, G853208343, Acquisition of a Rigaku XtaLAB Synergy-R macromolecular diffraction instrumentation at Fred Hutchinson Cancer Research Center, ALS Efficiently Networking Advanced Beam Line Experiments (ALS-ENABLE), Biophysical and structural studies of protein and enzyme mechanism, evolution, and engineering, Molecular modeling and machine learning for protein structures and interactions, G969889393, G993149817
OpenAlex ID: W4387904362
