Alternative computational protocols for supercharging protein surfaces for reversible unfolding and retention of stability

Boosting protein stability with the computational design of β-sheet surfaces

β-sheets often have one face packed against the core of the protein and the other facing solvent. Mutational studies have indicated that the solvent-facing residues can contribute significantly to protein stability, and that the preferred amino acid at each sequence position is dependent on the precise structure of the protein backbone and the identity of the neighboring amino acids. This suggests that the most advantageous methods for designing β-sheet surfaces will be approaches that take into account the multiple energetic factors at play including side chain rotamer preferences, van der Waals forces, electrostatics, and desolvation effects. Here, we show that the protein design software Rosetta, which models these energetic factors, can be used to dramatically increase protein stability by optimizing interactions on the surfaces of small β-sheet proteins. Two design variants of the β-sandwich protein from tenascin were made with 7 and 14 mutations respectively on its β-sheet surfaces. These changes raised the thermal midpoint for unfolding from 45°C to 64°C and 74°C. Additionally, we tested an empirical approach based on increasing the number of potential salt bridges on the surfaces of the β-sheets. This was not a robust strategy for increasing stability, as three of the four variants tested were unfolded.

Enhanced production of a single domain antibody with an engineered stabilizing extra disulfide bond

BACKGROUND

Single domain antibodies derived from the variable region of the unique heavy chain antibodies found in camelids yield high affinity and regenerable recognition elements. Adding an additional disulfide bond that bridges framework regions is a proven method to increase their melting temperature, however often at the expense of protein production. To fulfill their full potential it is essential to achieve robust protein production of these stable binding elements. In this work, we tested the hypothesis that decreasing the isoelectric point of single domain antibody extra disulfide bond mutants whose production fell due to the incorporation of the extra disulfide bond would lead to recovery of the protein yield, while maintaining the favorable melting temperature and affinity.

RESULTS

Introduction of negative charges into a disulfide bond mutant of a single domain antibody specific for the L1 antigen of the vaccinia virus led to approximately 3.5-fold increase of protein production to 14 mg/L, while affinity and melting temperature was maintained. In addition, refolding following heat denaturation improved from 15 to 70 %. It also maintained nearly 100 % of its binding function after heating to 85 °C for an hour at 1 mg/mL. Disappointingly, the replacement of neutral or positively charged amino acids with negatively charged ones to lower the isoelectric point of two anti-toxin single domain antibodies stabilized with a second disulfide bond yielded only slight increases in protein production. Nonetheless, for one of these binders the charge change itself stabilized the structure equivalent to disulfide bond addition, thus providing an alternative route to stabilization which is not accompanied by loss in production.

CONCLUSION

The ability to produce high affinity, stable single domain antibodies is critical for their utility. While the addition of a second disulfide bond is a proven method for enhancing stability of single domain antibodies, it frequently comes at the cost of reduced yields. While decreasing the isoelectric point of double disulfide mutants of single domain antibodies may improve protein production, charge addition appears to consistently improve refolding and some charge changes can also improve thermal stability, thus providing a number of benefits making the examination of such mutations worth consideration.

Structure of a designed tetrahedral protein assembly variant engineered to have improved soluble expression

We recently reported the development of a computational method for the design of coassembling multicomponent protein nanomaterials. While four such materials were validated at high-resolution by X-ray crystallography, low yield of soluble protein prevented X-ray structure determination of a fifth designed material, T33-09. Here we report the design and crystal structure of T33-31, a variant of T33-09 with improved soluble yield resulting from redesign efforts focused on mutating solvent-exposed side chains to charged amino acids. The structure is found to match the computational design model with atomic-level accuracy, providing further validation of the design approach and demonstrating a simple and potentially general means of improving the yield of designed protein nanomaterials.

Thermal green protein, an extremely stable, nonaggregating fluorescent protein created by structure-guided surface engineering

In this article, we describe the engineering and X-ray crystal structure of Thermal Green Protein (TGP), an extremely stable, highly soluble, non-aggregating green fluorescent protein. TGP is a soluble variant of the fluorescent protein eCGP123, which despite being highly stable, has proven to be aggregation-prone. The X-ray crystal structure of eCGP123, also determined within the context of this paper, was used to carry out rational surface engineering to improve its solubility, leading to TGP. The approach involved simultaneously eliminating crystal lattice contacts while increasing the overall negative charge of the protein. Despite intentional disruption of lattice contacts and introduction of high entropy glutamate side chains, TGP crystallized readily in a number of different conditions and the X-ray crystal structure of TGP was determined to 1.9 Å resolution. The structural reasons for the enhanced stability of TGP and eCGP123 are discussed. We demonstrate the utility of using TGP as a fusion partner in various assays and significantly, in amyloid assays in which the standard fluorescent protein, EGFP, is undesirable because of aberrant oligomerization.

Improving the biophysical properties of anti-ricin single-domain antibodies

Single-domain antibodies (sdAbs) derived from heavy-chain only antibodies produced in camelids are attractive immunoreagents due to their small size, high affinity, and ability to refold and retain binding activity after denaturation. It has been observed that some sdAbs, however, exhibit undesirable properties including reduced solubility when subjected to heating or upon long-term storage at production-relevant concentrations, which can limit their usefulness. Using a multi-step, rational design approach that included consensus-sequence driven sequence repairs, the alteration of net protein charge, and the introduction of non-native disulfide bonds, augmented solubility and increased melting temperatures were achieved. The improved sdAbs tolerated storage in solution at high concentration (10 mg/mL) and were able to withstand multiple cycles of heating to high temperature (70 °C). This work demonstrates a pathway for improving the biophysical characteristics of sdAbs which is essential for expanding their utility for both diagnostic as well as therapeutic applications.

Characterization of green fluorescent proteins by 193 nm ultraviolet photodissociation mass spectrometry

We investigate the utility of 193 nm ultraviolet photodissociation (UVPD) in comparison to CID, higher energy CID (HCD), and electron transfer dissociation (ETD) for top down fragmentation of highly homologous green fluorescent proteins (GFP) in the gas phase. Several GFP variants were constructed via mutation of surface residues to charged moieties, demonstrating different pIs and presenting a challenge for identification by mass spectrometry. Presented is a comparison of fragmentation techniques utilized for top down characterization of four variants with varying levels of surface charge. UVPD consistently resulted in identification of more fragment ions relative to other MS/MS methods, allowing higher confidence identification. In addition to the high number of fragment ions, the sites of fragmentation were more evenly spread throughout the protein backbone, which proved key for localizing the point mutations.

Negative tail fusions can improve ruggedness of single domain antibodies

Single-domain antibodies (sdAbs), the recombinantly expressed binding domains derived from the heavy-chain-only antibodies found in camelids and sharks, are valued for their ability to refold after heat denaturation. However, some sdAbs are prone to aggregation on extended heating at high concentration. Additionally, sdAbs prepared cytoplasmically often lack the conserved disulfide bond found in variable heavy domains, which both decreases their melting point and can decrease their ability to refold. Genetic fusions of sdAbs with the acid tail of α-synuclein (ATS) resulted in constructs that had enhanced ability to resist aggregation. In addition, almost complete refolding was observed even in the absence of the disulfide bond. These sdAb-ATS fusions expand the utility of sdAbs. They provide sdAbs that are resistant to aggregation, and enable the production of re-foldable sdAbs in the reducing environment of the cytoplasm.

Optimal charged mutations in the complementarity-determining regions that prevent domain antibody aggregation are dependent on the antibody scaffold

Therapeutic antibodies need to be highly resistant to aggregation due to the high concentrations required for subcutaneous delivery and the potential immunogenicity of antibody aggregates. Human antibody fragments-such as single-domain antibodies (VH or VL)-are typically much less soluble than full-length antibodies. Nevertheless, some aggregation-resistant VH domains have been discovered that are negatively charged at neutral pH and/or enriched in negatively charged residues within the complementarity-determining regions (CDRs). To better understand how to engineer diverse domain antibodies to resist aggregation, we have investigated the solubilizing activity of positively and negatively charged mutations within hydrophobic CDRs of multiple VH scaffolds that differ in their net charge. We find that negatively charged mutations inserted near the edges of hydrophobic CDRs are more effective than positively charged ones at inhibiting aggregation for VH scaffolds that are negatively or near-neutrally charged. In contrast, positively charged CDR mutations prevent aggregation better than negatively charged ones for a VH scaffold that is highly positively charged. Our findings suggest that the net charge of the antibody scaffold is a key determinant of the optimal CDR mutations for preventing aggregation. We expect that our findings will improve the design of aggregation-resistant antibodies with single- and multidomain scaffolds.

Bioprospecting in the genomic age

The genomic revolution promises great advances in the search for useful biocatalysts. Function-based metagenomic approaches have identified several enzymes with properties that make them useful candidates for a variety of bioprocesses. As DNA sequencing costs continue to decline, the volume of genomic data, along with their corresponding predicted protein sequences, will continue to increase dramatically, necessitating new approaches to leverage this information for gene-based bioprospecting efforts. Additionally, as new functions are discovered and correlated with this sequence information, the knowledge of the often complex relationship between a protein's sequence and function will improve. This in turn will lead to better gene-based bioprospecting approaches and facilitate the tailoring of desired properties through protein engineering projects. In this chapter, we discuss a number of recent advances in bioprospecting within the context of the genomic age.

Lysine and arginine content of proteins: computational analysis suggests a new tool for solubility design

Prediction and engineering of protein solubility is an important but imprecise area. While some features are routinely used, such as the avoidance of extensive non-polar surface area, scope remains for benchmarking of sequence and structural features with experimental data. We study properties in the context of experimental solubilities, protein gene expression levels, and families of abundant proteins (serum albumin and myoglobin) and their less abundant paralogues. A common feature that emerges for proteins with elevated solubility and at higher expression and abundance levels is an increased ratio of lysine content to arginine content. We suggest that the same properties of arginine that give rise to its recorded propensity for specific interaction surfaces also lead to favorable interactions at nonspecific contacts, and thus lysine is favored for proteins at relatively high concentration. A survey of protein therapeutics shows that a significant subset possesses a relatively low lysine to arginine ratio, and therefore may not be favored for high protein concentration. We conclude that modulation of lysine and arginine content could prove a useful and relatively simple addition to the toolkit available for engineering protein solubility in biotechnological applications.

De novo sequencing of peptides using selective 351 nm ultraviolet photodissociation mass spectrometry

Although in silico database search methods remain more popular for shotgun proteomics methods, de novo sequencing offers the ability to identify peptides derived from proteins lacking sequenced genomes and ones with subtle splice variants or truncations. Ultraviolet photodissociation (UVPD) of peptides derivatized by selective attachment of a chromophore at the N-terminus generates a characteristic series of y ions. The UVPD spectra of the chromophore-labeled peptides are simplified and thus amenable to de novo sequencing. This method resulted in an observed sequence coverage of 79% for cytochrome C (eight peptides), 47% for β-lactoglobulin (five peptides), 25% for carbonic anhydrase (six peptides), and 51% for bovine serum albumin (33 peptides). This strategy also allowed differentiation of proteins with high sequence homology as evidenced by de novo sequencing of two variants of green fluorescent protein.

Serverification of molecular modeling applications: the Rosetta Online Server that Includes Everyone (ROSIE)

The Rosetta molecular modeling software package provides experimentally tested and rapidly evolving tools for the 3D structure prediction and high-resolution design of proteins, nucleic acids, and a growing number of non-natural polymers. Despite its free availability to academic users and improving documentation, use of Rosetta has largely remained confined to developers and their immediate collaborators due to the code's difficulty of use, the requirement for large computational resources, and the unavailability of servers for most of the Rosetta applications. Here, we present a unified web framework for Rosetta applications called ROSIE (Rosetta Online Server that Includes Everyone). ROSIE provides (a) a common user interface for Rosetta protocols, (b) a stable application programming interface for developers to add additional protocols, (c) a flexible back-end to allow leveraging of computer cluster resources shared by RosettaCommons member institutions, and (d) centralized administration by the RosettaCommons to ensure continuous maintenance. This paper describes the ROSIE server infrastructure, a step-by-step 'serverification' protocol for use by Rosetta developers, and the deployment of the first nine ROSIE applications by six separate developer teams: Docking, RNA de novo, ERRASER, Antibody, Sequence Tolerance, Supercharge, Beta peptide design, NCBB design, and VIP redesign. As illustrated by the number and diversity of these applications, ROSIE offers a general and speedy paradigm for serverification of Rosetta applications that incurs negligible cost to developers and lowers barriers to Rosetta use for the broader biological community. ROSIE is available at http://rosie.rosettacommons.org.