Biology subjects

Khersonsky, O.

Publications and source records attributed to Khersonsky, O..

3 recordsLinked to original sources

bioRxiv2023

Stable mammalian serum albumins designed for bacterial expression

Albumin is the most abundant protein in the blood serum of mammals and has essential carrier and physiological roles. Albumins are also used in a wide variety of molecular and cellular experiments and in the cultivated meat industry. Despite their importance, however, albumins are challenging for heterologous expression in microbial hosts, likely due to 17 conserved intramolecular disulfide bonds. Therefore, albumins used in research and biotechnological applications either derive from animal serum, despite severe ethical and reproducibility concerns, or from recombinant expression in yeast or rice. We use the PROSS algorithm to stabilize human and bovine serum albumins, finding that all are highly expressed in E. coli. Design accuracy is verified by crystallographic analysis of a human albumin variant with 16 mutations. This albumin variant exhibits ligand binding properties similar to those of the wild type. Remarkably, a design with 73 mutations relative to human albumin exhibits over 40{degrees}C improved stability and is stable beyond the boiling point of water. Our results suggest that proteins with many disulfide bridges have the potential to exhibit extreme stability when subjected to design. The designed albumins may be used to make economical, reproducible, and animal-free reagents for molecular and cell biology. They also open the way to high-throughput screening to study and enhance albumin carrier properties. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=120 SRC="FIGDIR/small/534334v3_ufig1.gif" ALT="Figure 1"> View larger version (24K): org.highwire.dtl.DTLVardef@71ef93org.highwire.dtl.DTLVardef@27a975org.highwire.dtl.DTLVardef@1e657fforg.highwire.dtl.DTLVardef@19b3de3_HPS_FORMAT_FIGEXP M_FIG C_FIG Highlights- Computational design stabilized human and bovine serum albumins - Designs express solubly in E. coli and exhibit up to 40 {degrees}C increased thermostability - Some designs exhibit identical ligand binding properties - Crystal structure confirms design accuracy - Designs can be used in cell culture and in vitro applications

biochemistry↗

bioRxiv2022

Modularly designed protein fragments combine into thousands of active and structurally diverse enzymes

Design of structurally diverse enzymes is constrained by long-range interactions that are needed for accurate folding. We introduce an atomistic and machine-learning strategy for Combinatorial Assembly and Design of ENZymes, CADENZ, to design fragments that combine with one another to generate diverse, low-energy structures with stable catalytic constellations. We applied CADENZ to endoxylanases and used activity-based protein profiling to recover thousands of active and structurally diverse enzymes. Functional designs exhibit high active-site preorganization and more stable and compact packing outside the active site. Implementing these lessons into CADENZ led to a tenfold improved hit rate and >10,000 active enzymes. This design-test-learn loop can be applied, in principle, to any modular protein family, yielding huge diversity and general lessons on protein design principles.

bioengineering↗

bioRxiv2020

A computationally designed fluorescent biosensor for D-serine

Solute-binding proteins (SBPs) have evolved to balance the demands of ligand affinity, thermostability and conformational change to accomplish diverse functions in small molecule transport, sensing and chemotaxis. Although the ligand-induced conformational changes that occur in SBPs make them useful components in biosensors, they are challenging targets for protein engineering and design. Here we have engineered a D-alanine-specific SBP into a fluorescent biosensor with specificity for the signaling molecule D-serine (D-serFS). This was achieved through binding site and remote mutations that improved affinity (KD = 6.7 {+/-} 0.5 M), specificity (40-fold increase vs. glycine), thermostability (Tm = 79 {degrees}C) and dynamic range (~14%). This sensor allowed measurement of physiologically relevant changes in D-serine concentration using two-photon excitation fluorescence microscopy in rat brain hippocampal slices. This work illustrates the functional trade-offs between protein dynamics, ligand affinity and thermostability, and how these must be balanced to achieve desirable activities in the engineering of complex, dynamic proteins.

biochemistry↗