Abstract
Designed Ankyrin Repeat Proteins (DARPins) are a class of antibody mimetics with a high and mostly unexplored potential in drug development. They are clinically validated and thus represent a true alternative to classical immunoglobulin formats. In contrast to immunoglobulins, they are built from solenoid protein domains comprising an N-terminal capping repeat, one or more internal repeats and a C-terminal capping repeat. By using in silico analysis and a rationally guided Ala-Scan, we identified position 17 of the N-terminal capping repeat to play a key role for the overall protein thermostability. The melting temperature of a DARPin domain with a single full-consensus internal repeat was increased by about 8°C to 10°C when the original Asp17 was replaced by Leu, Val, Ile, Met, Ala or Thr, as shown by high-temperature unfolding experiments at equilibrium. We then transferred the Asp17Leu mutation to various backgrounds, including different N- and C-terminal capping repeats and clinically validated DARPin domains, such as the VEGF-binding ankyrin repeat domain of abicipar pegol. In all cases, the proteins remained monomeric and showed improvements in the thermostability of about 8°C to 16°C. Thus, the replacement of Asp17 seems to be generically applicable to this drug class. Molecular dynamics simulations show that the Asp17Leu mutation reduces electrostatic repulsion and improves van-der-Waals packing, rendering the DARPin domain less flexible and more stable. Interestingly, such a beneficial Asp17Leu mutation is present in the N-terminal caps of three of the five DARPin domains of ensovibep, a SARS-CoV-2 entry inhibitor currently in clinical development. This mutation is likely responsible, at least in part, for the very high melting temperature (>90°C) of this promising anti-Covid-19 drug. Overall, such N-terminal capping repeats with increased thermostability seem to be beneficial for the development of innovative drugs based on DARPins.
Introduction
DARPins are a class of antibody mimetics, that have been conceived and developed about two decades ago at the University of Zurich 1–3. Their application as research tool and protein therapeutic was recently reviewed 4. Originally devised as an alternative to immunoglobulins (“antibodies”), the potential of DARPins in protein engineering, directed evolution of binders and drug development became obvious immediately at inception. Importantly, this potential extends beyond areas of applications that have classically been “occupied” by recombinant immunoglobulins. The DARPin scaffold was shown to serve as an alternative 5, as a complementation 6 and as an expansion of what is possible with binders derived from immunoglobulins 7,8. Translation of academic research in DARPin technology towards pharmaceutical benefits has been predominantly steered by Molecular Partners, who provided the fundamental clinical validation of the scaffold 9. However, in light of the long generation cycles in drug development – especially in the case of biologics that typically require ten years from concept to drug approval - the DARPin technology can still be regarded as young and emerging and the full potential of DARPins as a class of biologics has yet to be realized. The recent development of ensovibep 10, a multi-specific anti-SARS-CoV-2 DARPin, which has entered clinical trials in November 2020 in less than nine months after initial research and development activities had commenced, reinforces this high potential 11,12.
DARPins are based on natural ankyrin repeat proteins 13, that have evolved to mediate various kinds of protein-protein interactions in all kingdoms of life 14. Their structure is simpler than that of immunoglobulins. Whereas immunoglobulins naturally consist of four polypeptide chains, and unite more than four chains in recombinant formats like T-cell bispecifics (TCBs) 15, a single polypeptide chain is sufficient to form a multispecific DARPin 16. For example, enso-vibep 10 combines five DARPin domains on a single polypep-tide chain, in which two domains bind human serum albumin (HSA) and three domains associate with the SARS-CoV-2 spike protein 11. DARPins are built from solenoid protein domains, which possess a modular architecture that was derived by a consensus design approach 2,17,18: a stack of internal ankyrin repeats, each composed of 33 amino acids, flanked by N- and C-terminal capping repeats (N- and C-Caps) that function to seal the hydrophobic core of the protein domain (Figure 1). Together these structural units form an elongated ankyrin repeat domain. Amino acids present at defined positions at the surface of the internal repeats form a paratope, enabling the binding to target proteins with high affinity and specificity 3,19,20. These positions are randomized in DARPin libraries, which are used as starting point for in vitro selection, most prominently by means of ribosome display 21, to generate highly-specific target binding molecules. Originally, the N- and C-Caps of DARPins were taken from the human guanine-adenine-binding protein (hGABP_beta1) as they could be adapted to fit to the consensus designed internal repeats 2. Such original N- and C-Caps are also present in the first DARPin that became clinically validated - abici-par pegol. Despite the clinical validation, most of the amino acid sequence of these original caps was not optimized, indicating that there may be room for further improvements, in particular for those that increase DARPin thermostability.
In general, we identify three major motivations that fuel the quest for increased thermostability of biologics: (i) Reduction of aggregation and thus reduction of immunogenicity risk, (ii) simplification of chemistry, manufacturing, and controls (CMC) processes, thus bringing down the manufacturing costs, and reduction of cold-chain-drug storage requirements and (iii) increase of degrees of freedom for protein engineering to allow for mode-of-action design, for example, advanced multispecificity 11, receptor fine-tuning 22 and proximity-based activation 23. For the thermostability of DARPins, the importance of the capping repeats – particularly the C-Cap – was first shown by Interlandi and coworkers 24. Seven point mutations, five of which are located in the interface to the preceding internal repeat and two at the very C-terminus, were introduced to optimize the C-Cap and were shown to increase the melting temperature (Tm) of a model DARPin, consisting of an N-Cap, a single full-consensus repeat and a C-Cap by about 17°C; i.e. from 60°C (wt) to 77°C (the respective C-Cap variant was referred to as the “mut5” C-Cap) 24. When this improved mut5 C-Cap was compared to the original C-Cap 2, a rigid-body movement of the C-Cap towards the internal repeat was observed, as evidenced by crystallographic data 25. This movement results in an increased buried surface area and a superior complementarity of the interface between the internal repeat and the C-Cap, which explains the improved thermostability.
While the C-Cap of DARPins was thoroughly investigated, we are not aware of any scientific article describing a corresponding analysis or thermostability improvement of the original N-Cap (denoted as “N01” N-Cap in the following, (Figure 2)), which is still predominantly used by the research community. Nevertheless, thermostability improvements of the N-Cap have been published in the patent application WO2012/069655 (WO’655) and are clinically validated in the aHSA domains of ensovibep 10. The corresponding N-Cap of WO’655 is denoted “N02” in the following (Figure 2). Comparing N02 with the original N-Cap, N01, resulted in a Tm increase of approximately 7°C. It is likely that this improvement mainly arises from the Met24Leu-mutation present in N02, which removes the only methionine (besides the methionine encoded by the start codon) from the original DARPin sequence, and thereby also removes this hotspot for oxidation. The N-Cap analysis of WO’655 was limited to the RILMAN sequence motif around Met24 of N01.
Here, we set out to improve the thermostability of DARPins through engineering the N-Cap. Through in silico analyses and high-temperature unfolding experiments at equilibrium we identify N-Cap Asp17 as an Achilles heel of DARPin domains. Molecular dynamics (MD) simulations and MD trajectory analysis provide an explanation for the significantly increased Tm values observed upon Asp17 replacement in DARPin domains.
Results
Choice of a minimal DARPin as model system
We chose a three repeat DARPin domain (denoted as N1C in the following) consisting of one full-consensus internal repeat (IR) flanked by an N- and C-Cap as a model DARPin to screen for improved thermostability (see Table 1 for an overview of the different DARPin domains used, as well as Table S1 for their respective sequences). The choice of this DARPin model has a three-fold motivation. First, it has the minimal DARPin architecture consisting of only three repeats with two repeat interfaces, one between the N-Cap and the IR and one between the IR and the C-Cap. Second, using a consensus IR that represents an “average structure” of all the natural ankyrin repeats should eliminate interferences originating from amino acids at randomized positions or possible framework mutations, that may only be present in particular sequences 18. Third, since DARPins get more stable with increasing number of IRs, we choose to have only one internal repeat and thus a low starting thermostability 28 such that stability improvements are readily observable.
Importance of the N-Cap position 17 for the overall thermostability of DARPins
By visual analysis of the DARPin structure, we identified four residues within the N-Cap to be of potential importance for the repeat stacking and thereby also for the overall domain stability. These residues are either at the edge (Leu4, Gly5, Asp17) of the N-Cap or buried (Met24) at the interface between N-Cap and the adjacent IR (Figure 3). As WO’655 already demonstrated that a Met24Leu mutation strongly improves the thermostability of DARPins, we focused our analysis on Leu4, Gly5 and Asp17 on an N1C background comprising the N02 N-Cap to find out if it is possible to further improve the most stable N-Cap known to date. Alanine scanning of residues 4 and 5 showed no improvement in thermostability, with Leu4Ala lowering the Tm value from 74.5°C to 64.7°C and Gly5Ala leaving the melting temperature unaltered at 74.3°C. However, the Asp17Ala mutation showed a strong improvement of the Tm value from 74.5°C to 82.4°C (Figure 4A). Consequently, we screened alternative amino acids at the N-Cap position 17 of N1C (Table 2 and Figure 4B). All amino acid substitutions tested resulted in a Tm increase, with the highest Tm increases being measured for the Asp17Val, Asp17Ile and Asp17Leu variants (i.e. from 74.5°C to 85.1°C, 84.8°C and 84.6°C, respectively). Overall, changing Asp17 in N1C to Val, Leu, Ile, Met, Ala or Thr led to an increase of the respective Tm values between 8°C to 10°C. These results show that Asp is an exceptionally unfavorable amino acid at position 17 and that there are many alternative residues resulting in a strong thermostability gain. Of these alternative residues, Asp17Leu provided one of the largest improvements, which we investigated further.
The increased thermostability of the Asp17Leu N-Cap mutation is independent of the N- and C-Cap background
To test if the improvements derived from mutating the N- Cap Asp17 are generic and independent of the N02 background, we transferred the Asp17Leu mutation onto the original N01 N-Cap and the N03 N-Cap, that differs in nine amino acids from N02. The Asp17Leu mutation improved the thermostability of N1C also in the N01 and N03 backgrounds by more than 13°C (Table 3). Further, we were interested in whether our observed stability improvement based on the N-Cap and the stability improvement based on the mut5 C-Cap 24 would be additive. We first found that replacing the wt C-Cap in N1C with a mut5 C-Cap results in a Tm increase of about 13°C or 9°C in an N01 or N02 background, respectively (Table 4), thus confirming the benefits of the mut5 C-Cap 24. Additionally, the combination of the N02 N-Cap with the mut5 C-Cap in N1C_v22 proved that the individual improvements of each cap are additive, and raised the Tm value to 84.2°C in phosphate buffered saline (PBS), i.e. by about 22°C. With the additional substitution of Asp17Leu in N1C_v23 (N02, mut5 background) we did not observe any unfolding transition up to 95°C when we measured the thermal unfolding of this molecule in PBS. Therefore, we repeated the measurements for N1C_v22 and N1C_v23 in a buffer containing 2 M GdmCl and obtained corresponding Tm values of 67.3°C and 79.3°C, respectively (Table 4). Thus, the already very thermostable N1C_v22, comprising N02 and the mut5 C-Cap, could be further stabilized by adding the Asp17Leu mutation to its N-Cap resulting in a Tm gain of about 12°C in 2 M GdmCl. Overall, the Asp17Leu mutation adds about 9°C to 14°C to the Tm value of N1C independent of its concrete N- and/or C-Cap, indicating that this is a general improvement for DARPin domains.
MD simulations suggest reduced flexibility of N1C through the Asp17Leu N-Cap mutation
We performed MD simulations to investigate the structural implications for N1C variants having either Asp or Leu at position 17 of their N-Caps. Starting from the X-ray diffraction structure of ankyrin repeat proteins of E3_5, NI1C-mut4 and NI3C-mut5 (PDB ID: 1MJ029, 2XEN 25 and 2XEE 25, respectively) we prepared six different homology models, each time comparing Asp17-with Leu17-constructs in the N01-background (N1C_v16 and N1C_v17, respectively), the N02-background (N1C_v01 and N1C_v05, respectively), and the N02-background combined with the mut5 C-Cap (N1C_v22 and N1C_v23, respectively) (see Table S1). Starting from the homology models, three independent simulations were carried out for each system, two at 350 K and one at 400 K, for a total sampling of 1.8 µs. Three conclusions can be drawn from the MD simulations (Figure 5 and Table 5). First, the substitution of Asp at position 17 with Leu leads in all instances to improved interaction energies with the surrounding (Table 5). Second, the analysis focused on the protein flexibility at high temperatures (400 K), revealed that the systems containing Leu at position 17 systematically show lower fluctuations than their Asp17 counterparts (Figure 5). The reduced flexibility of the Leu17 mutants as compared to Asp17 is in line with the increased thermostability of Asp17Leu DARPins observed in CD. Third, when examining the regions of reduced fluctuation, we found that the Asp17Leu mutation reduces fluctuations in the N01-background (N1C_v16 vs. N1C_v17) across the entire N-Cap and in one of the most flexible parts of a DARPin domain spanning from the end of the N-Cap (GADVNA motif, see (Figure 2) to the β-turn at the beginning of the internal repeat. In the N02-background (N1C_v01 vs. N1C_v05), reduced fluctuations through the Asp17Leu mutation are restricted to the direct vicinity of position 17 and around position 32, which is in line with the fact that N02 carries a stabilizing Met24Leu mutation. In the background comprising N02 and the mut5 C-Cap (N1C_v22 vs. N1C_v23) reduced fluctuations through the Asp17Leu mutation are only present in the direct vicinity of position 17. No fluctuation differences are observed around N-Cap position 32, which may be explained by the stabilizing effects introduced by the improved mut5 C-Cap that is structurally adjacent to this region. These findings further support our hypothesis that position 17 is an Achilles heel with regard to the N-Cap and thus the overall DARPin domain thermostability.
The Asp17Leu N-Cap mutation improves the stability of clinically validated DARPins
To test whether the observed thermostability gain derived from the N-Cap Asp17Leu is independent on the composition of randomized positions in the DARPin paratope (as mainly present in the IRs), and thus transferable to any (non-consensus) DARPin, we tested this mutation on binders selected against human epidermal growth factor receptor 2 (HER2) 20, vascular endothelial growth factor A (VEGF-A) 27 and HSA 30 (Table 6). The selected DARPin domains are denoted aHER2, aVEGF (which carries a Gly5Asp framework mutation in its N-Cap; denoted as N04 in (Figure 2)) and aHSA, respectively (Table 1). Both aVEGF and aHSA are clinically validated DARPin domains as they are present in abicipar pegol and ensovibep, respectively. In all three trans fers, the Asp17Leu mutation increased the thermostability of the DARPin domains and added up to about 15°C in 2 M GdmCl Tm measurements (Table 6). Overall, the described significant gain in thermostability of the Asp17Leu mutation proved to be generic and is transferable to different N- and C-Cap backgrounds and different library members selected for high affinity, including clinically validated DARPin domains.
Discussion
The results presented in this paper identify position 17 of the DARPin N-Cap as a key position influencing thermostability of DARPins. The importance of the capping repeats as a pre-requisite for the high stability and robustness of the DARPin-fold has been known since the first description of this antibody mimetic 28,29. While the C-Cap has been thoroughly analyzed for residues providing room for improvement previously 24, an analogous dissection of the N-Cap in the literature, with exception of WO’655, has been missing.
The N-Cap contributes significantly to the thermostability of DARPins
The contribution of the capping repeats to the overall stability of the DARPin domain is central 28. The architecture of solenoid repeat protein domains does not rely on long-range interactions (distant in sequence), which is a fundamental difference to globular proteins. In repeat proteins, stabilizing and structure-determining interactions are formed within a repeat and between neighboring repeats. In contrast to IRs, capping repeats have only one stabilizing neighboring repeat (Figure 1). Both natural 31 and designed ankyrin repeat proteins 28 have been shown to unfold in a sequential manner starting with the capping repeats. An unfolded cap leads to an internal repeat losing a stabilizing neighbor resulting in destabilization of the whole repeat domain. Furthermore, the original N- and C-Caps of DARPins correspond mainly to the natural caps of hGABP_beta12; and thus there may be room for improvements. Indeed, improving the original capping repeats can increase the overall stability of a DARPin domain as it was shown for the N-Cap (WO’655) and the C-Cap 24. The improved N02 N-Cap of WO’655 comprises a Met24Leu mutation when compared to N01 (Table 2), thereby improving the thermostability of DARPin domains. Since Met possesses a larger side chain than Leu it might not optimally fit into the confined space at the interface between the N-Cap and the adjacent internal repeat. This mutation has the additional advantage that it eliminates an oxidation hotspot from the DARPin domain; unwanted oxidation of Met and its negative impact on the bioactivity of biologics is well documented 32.
We now performed a detailed analysis of the N-Cap, searching for additional mutations that may improve the overall DARPin domain stability. Following in silico analyses, we used equilibrium thermal denaturation experiments of DARPins harboring different N-Cap mutations. Intriguingly, our studies show that position 17 of the N-Cap is an important Achilles heel of a DARPin domain and that the original Asp at position 17 of the N-Cap is detrimental to overall DARPin thermostability. We showed that the negative effect on thermostability of Asp17 can be rescued by mutating it to Leu, Val, Ile, Ala, Met or Thr, leading to a profound improvement in Tm values by about 8°C to 16°C depending on the individual construct tested. Importantly, the Tm value of an N1C variant comprising the N02 N-Cap (instead of N01) was also increased by about 9°C when introducing the Asp17Leu mutation. Thus, the beneficial effect of this mutation synergizes with the Tm improvement of about 7°C previously reported for N02 (WO’655). While Interlandi et al. reported that the C-Cap is a limiting factor for the thermostability of the original DARPin domain 24, our results demonstrate that this is also the case for the N-Cap.
Asp17 replacements seem to improve the N-Cap/IR interface
The N-Cap position 17 is located at the beginning of helix 2 at the edge of the interface between the N-Cap and the adjacent IR (IR1) (Figure 6A). Throughout nature, negatively charged amino acids are found at the N-terminal turn of helices as they support helix formation during protein folding 33, which rationalizes the placement of Asp at position 17. Known DARPin crystal structures show that the side chain of Asp17 can either face inwards and be buried in the interface between N-Cap and IR1, or face outwards into the surrounding solvent. If Asp17 is facing inwards, it is involved in van-der-Waals (VDW) contacts with IR1 (i.e. to the sidechains and backbones of IR1 Glu19 and IR1 Ile20), but is burdened with a desolvation penalty, which negatively impacts thermodynamic stability (Figure 6A). If facing outwards, Asp17 shields the hydrophobic interface from the solvent, but experiences repulsive forces to the equally negatively charged IR1 Glu19 (Figure 6B).
Analyses of equilibrated, energy-minimized average MD structures at 300 K and associated interactions between the N-Cap residue 17 and its surrounding at 350 K show that although in our starting model Asp17 faced inwards, during the course of the simulation Asp17 (Figure 6C and Table 5) is facing outwards as described above avoiding the desolvation penalty, but experiencing electrostatic repulsive forces to the IR1 Glu19. Importantly, the MD simulations show that Leu at position 17 faces inwards and that the Asp17Leu mutation improves the Coulombic and the VDW interactions by about 3 kcal/mol and 2 kcal/mol, respectively (Figure 6D and Table 5). The improved interactions of Leu17 are consistent with the surprisingly strong increase in thermostability observed by CD measurements.
The Asp17Leu N-Cap mutation is universally applicable to DARPins
Importantly, the observed stability improvement of about 8°C to 16°C (depending on the concrete context) that was caused by the N-Cap Asp17Leu mutation, proved to be generically applicable to various sequence backgrounds. First, as observed by CD measurements and supported through MD simulations, stabilization could be consistently achieved on a diverse set of N-Cap backgrounds grafted on the model DARPin N1C. The tested N-Cap backgrounds include the original N01, N02 of the two HSA-binding domains of ensovibep, N03 where 12 out of the 32 amino acids are changed in comparison to N01, and N04, present in the VEGF binding domain of abicipar pegol (Figure 2). Second, the Asp17Leu mutation was also beneficial in the context of the improved mut5 C-Cap. Third, Asp17Leu gave a constant improvement when transferred to three different DARPin binders directed against HER220, VEGF 27, or HSA 30, indicating that the observed profound improvement is independent of the randomized positions forming the DARPin paratope. This general transferability of the Asp17Leu mutation may be due to the fact that all DARPin domains are based on a quasi-identical framework embedding the randomized positions 29. The underlying reason for this similarity of the framework is the consensus design of DARPins, resulting in the stacking of self-compatible IRs 1,2,18. However, even the investigated DARPin domains aVEGF and aHER2 that possess framework mutations, which are key for their low picomolar binding affinities, still profit from the Asp17Leu mutation. This indicates that this single amino acid change may also be beneficial for DARPin domains comprising framework mutations; in particular, when these mutations have a negative effect on the domain stability.
Analyses of known X-ray structures of DARPins in complex with their respective targets have shown that N- and C-Caps contribute to the DARPin paratope in approximately 35% of cases 35. Position 17 is located outside of these known paratope regions and our MD based structural analyses indicate that the overall alteration of the domain structure through the Asp17Leu mutation is marginal. Thus, we do not expect that the N-Cap Asp17Leu change has a significant impact on the target binding of corresponding DARPin domains. In-corporation of the Asp17Leu mutation into existing DARPin binders could increase their thermostability without significantly impacting their target binding properties.
Quantitative dimension and additive nature of the Asp17Leu improvement
The benefit obtained by this novel N-Cap (i.e., a Tm increase of 8°C to 16°C for a DARPin domain) is similar in dimension to that described for the C-Cap by Interlandi et al. 24. Most importantly, the N-Cap and C-Cap stability gains function in an additive manner, thereby yielding a Tm increase of approximately 20°C when combined. Similarly, the stability improvement of the novel N-Cap mutation Asp17Leu is additive to the stability gain obtained through the known N-Cap mutation Met24Leu (WO’655). When compared to the original DARPins 1,2, in sum, the two improvements at the N-Cap (each increasing the Tm value by approximately 10°C) and the improvement at the C-Cap can thereby yield a total Tm increase of approximately 30°C for a DARPin domain. Thus, our discovered Asp17Leu improvement adds substantially to other capping repeat improvements described previously. We see the modular, solenoid structure of DARPins as the origin for making the observed modular addition of thermostability improvements possible. DARPins are assembled through stacking of repeat units that are structurally “self-organized”, yet connected. They are stabilized by interactions with their folded immediate neighboring repeats and thus each repeat individually contributes to the overall domain stability 28.
Ease of engineering of DARPins and impact on their versatility
DARPins unify a plethora of key characteristics beneficial for drug development from discovery to preclinical and clinical development, and manufacturing. For example, their low molecular weight, high solubility, high expression level, picomolar affinities, multispecific potential, and especially the high stability offer drug developers access to huge versatility 9. With their simple modular structure, multispecific DARPins 16 can be easily constructed with a single polypeptide chain and different molecular formats, as the binding domains are freely combinable. Their high solubility and high expression level awards them with unparalleled high-throughput capabilities and their excellent biophysical properties are the origin for low attrition rates. Their high thermostability, in particular, positively influences low aggregation and associated immunogenicity risks, allows for low-cost manufacturing and makes them very amenable to protein engineering to generate molecules with novel modes of action, such as receptor fine-tuning 22. With these characteristics DARPins complement existing therapeutic antibodies and will also expand the scope of innovative drugs via the multitude of advanced formats and applications that can be conceived and realized with this scaffold. All mentioned characteristics build on the stability of this versatile scaffold. Thus, an increased thermostability as presented in this study will have a positive impact on many levels.
Significance for clinical DARPins
A recent example of drug development at unparalleled speed is the development of the multi-specific, highly efficacious anti-SARS-CoV-2 DARPin ensovibep that went from first selection of binders to entry into the clinic in less than nine months 12. Interestingly, ensovibep contains the Asp17Leu mutation described here in three of its five DARPin domains 10. This not only gives clinical validation to the Asp17Leu mutation, but also underscores the importance and reach of the findings outlined here. The high thermostability (Tm ⩾90°C) and absence of any tendency for aggregation (up to 85°C) reported for ensovibep 11 may thus be partly explained by the presence of the Asp17Leu mutation. These beneficial properties are especially remarkable as this COVID-19 antiviral drug is composed of five distinct DARPin domains with four different specificities on a single polypeptide chain. In our view, an immunoglobulin-based drug with similar properties would require extensive engineering to be generated, if feasible at all. Together, it does not surprise that Molecular Partners is speculating that ensovibep has the potential to bypass cold storage and that it provides a superior alternative to monoclonal antibody cock-tails for global supply 12. Besides the three DARPin domains binding to three unique epitopes of the spike ectodomain of SARS-CoV-2, that all carry Asp17Leu in their N-Caps, enso-vibep is additionally composed of two anti-HSA DARPins for serum half-life extension. These two domains are identical to aHSA of our study. As suggested by our findings, the overall stability of ensovibep might be even further improved by replacement of Asp17 with Leu, Val, Ile, Ala, Met or Thr in the N-Cap of the two anti-HSA DARPins.
Furthermore, aVEGF of our study corresponds to the ankyrin repeat domain of abicipar pegol that is a first generation DARPin drug to treat patients with neovascular age-related macular degeneration (AMD). Two randomized phase 3 clinical trials (CEDAR and SEQUOIA) demonstrated that quarterly applied abicipar pegol is noninferior to monthly applied ranibizumab, but showed a higher-level of intraocular inflammation (typically mild or moderate in severity) than ranibizumab 36. The authors of these phase 3 studies mentioned that the used abicipar pegol was further purified to reduce host cell proteins with the goal to minimize the incidence of intraocular inflammation. As indicated by our findings, the thermostability of the ankyrin repeat domain of abicipar pegol could be increased by about 30°C when combining our results with the previously described cap improvements. A correspondingly improved abicipar pegol would be amenable to more stringent purification processes that may result in much lower contaminations with host cell proteins.
Conclusions
We have shown a Tm increase of various DARPin domains (up to 16°C) by replacing Asp17 in the N-Cap with Leu, Val, Ile, Ala, Met or Thr. Our results further provide evidence for the importance of the capping repeats for the robustness and reliability of this solenoid scaffold. Combining our N-Cap improvement with the cap enhancements described by Interlandi et al. 24 and WO’655, increases the melting temperature of original DARPin domains by about 30°C. Even though the initial DARPin design 1,2 is successfully used by the research community and is clinically validated (abicipar pegol), this significant improvement of the Tm indicates that the capping repeats of the original DARPins, which were based on hGABP_beta1, have high liabilities that can be eliminated by a few mutations in the capping repeats. Such thermodynamically stabilized antibody mimetics could pave the way for the future development of innovative drugs. First, increased thermostability of biologics is known to correlate with a reduced aggregation propensity 37. Thus, we anticipate an even lower immunogenicity risk of DARPins comprising the N-Caps described herein. Second, improved thermostability will make DARPins even more amenable to protein engineering. We believe that this is of high importance when the biological activity of a drug needs to be optimized, for example, to fine-tune the activation of receptors 22. Third, increased thermostability will translate into more efficient preclinical development and CMC processes, low-cost manufacturing and may even help to bypass cold storage of biologics. The recent development of the DARPin ensovibep (comprising the N-Cap Asp17Leu mutation) in less than nine months from idea conception to entry into the clinics underlines this huge potential 11,12. Along the same lines, we speculate that a high thermostability may facilitate the development of aerosol or dry powder inhaler formulations of DARPin drugs; something that may also be of interest for the pulmonary delivery of ensovibep for the treatment of COVID-19 patients. In conclusion, future drug development asks for more robust and very versatile biologics and we believe that DARPins would be the ideal scaffold for this.
Methods
Cloning
The DNA sequence encoding each ankyrin repeat domain was chemically synthesized and cloned into pQIq expression vectors (Qiagen, Germany) by Gibson Assembly 38.
Protein expression and purification
The ankyrin repeat domains were expressed in E. coli XL1-Blue cells and purified using their His-tag by standard protocols. Briefly, 25 ml of stationary overnight cultures (LB, 1% glucose, 100 mg/l of ampicillin; 37°C) were used to inoculate 1 l cultures (same medium). At an absorbance of about 1 at 600 nm, the cultures were induced with 0.5 mM IPTG and incubated at 37°C for 4 h. The cultures were centrifuged and the resulting pellets were resuspended in 40 ml of TBS500 (50 mM Tris–HCl, 500 mM NaCl, pH 8) and sonicated. The lysate was recentrifuged, and glycerol (10% (v/v) final concentration) and imidazole (20 mM final concentration) were added to the resulting supernatant. The ankyrin repeat domains were purified over a Ni-nitrilotriacetic acid column (2.5 ml column volume) according to the manufacturer’s instructions (QIAgen, Germany). Up to 200 mg of highly soluble ankyrin repeat domains were purified from one liter of E. coli culture with a purity > 95% as estimated from SDS-PAGE.
Circular Dichroism measurements
The circular dichroism (CD) signal of DARPin domains at 10 µM in PBS, pH 7.4 (PBS, 2 M GdmCl, pH 7.4, where indicated) were recorded at 222 nm in a Jasco J-810 instrument (Jasco, Japan) using a 1 mm pathlength cuvette. Samples were heated from 20°C to 95°C using a temperature ramp rate of 1°C per min, collecting data periodically at 0.5°C intervals. Melting temperature values were derived as described by Consalvi et al. 39. Importantly, all constructs assessed in CD ran as monomeric peaks in analytical size-exclusion chromatography (aSEC).
Molecular Dynamics simulations
System preparation
Starting from the X-ray diffraction structure of ankyrin repeat proteins of E3_5, NI1C-mut4 and NI3C-mut5 (PDB ID: 1MJ029, 2XEN 25 and 2XEE 25, respectively), homology modelling was used to construct atomic resolution models of six different repeat proteins, i.e., N1C_v16, N1C_v17, N1C_v01, N1C_v02, N1C_v22 and N1C_v23. The sequences of the proteins are shown in Supplementary Table S1. These models are used as the structural basis of this study. Simulation protocol. All simulations were carried out using the GROMACS 2018.6 simulation package 40 and the CHARMM36m force field 41. Three independent simulations with different initial random velocities were carried out for each repeat protein, two at 350 K and one at 400 K, cumulating 1.8 µs for each protein. To reproduce neutral pH conditions, standard protonation states were used for the ionizable side chains, while the N-terminus was positively charged, and the C-terminus negatively charged. Each protein was solvated in a cubic box (edge length of 6.9 nm) with TIP3P water molecules 42 to which 150 mM NaCl were added, including neutralizing counterions. Following steepest descent minimization, the simulation systems were first equilibrated under constant pressure for 5 ns, with position restraints applied on the heavy atoms, and subsequently under constant temperature (T = 300 K) in absence of restraints for 5 ns. For the production simulations, temperature and pressure were maintained constant at 350 K or 400 K and 1 atm, by using the modified Berendsen thermostat (0.1 ps coupling) 43 and barostat (2 ps coupling) 44. The short-range interactions were cut off beyond a distance of 1.2 nm and the potential smoothly decays to zero using the Verlet cutoff scheme. The Particle Mesh Ewald (PME) technique 45 with a cubic interpolation order, a real space cut-off of 1.2 nm and a grid spacing of 0.16 nm was employed to compute the long-range interactions. Bond lengths were constrained using a fourth order LINCS algorithm 46 with 2 iterations. In all simulations the time step was fixed to 4 fs, enabled through the use of virtual sites for all hydrogen atoms. Periodic boundary conditions were applied and the snapshots were saved every 50 ps. The elevated temperature is employed to enhance the sampling; the density of water is kept at the value corresponding to 300 K to perturb the free energy surface as little as possible 47.
FUNDING
Research in AC group is supported by an SNF Excellence Grant (310030B- 189363). The computational resources were provided by the Swiss National Super-computing Centre (CSCS) in Lugano. All other aspects of this study were funded by Athebio AG, Switzerland.
DATA AND MATERIALS AVAILABILITY
The datasets generated and/or analyzed during the current study are available from the corresponding author upon reasonable request.
DISCLOSURE OF INTEREST
JSchilling, CJ, JSchnabl and PF are co-founders and shareholders of Athebio AG; PF is a co-founder and shareholder of Molecular Partners AG.
AUTHOR CONTRIBUTIONS
JSchilling, CJ, IMI, JSchnabl, AC, PF: conceptualized and designed experiments; JSchilling, CJ, JSchnabl, OB, RSE, RT: performed laboratory experiments; IMI: performed molecular dynamics simulations; JSchilling, CJ, IMI, JSchnabl, RSE, AC, PF: drafted the manuscript. All authors reviewed the manuscript.
Supplementary Tables
ACKNOWLEDGEMENTS
The authors would like to thank Dr. Lorenz Kallenbach, Dr. Nora Guidotti and Dr. Philipp Wild for critical reading and helpful comments during preparation and revision of the manuscript.