Open Access Article
Dilraj
Lama‡
a,
Anne-Marie
Liberatore‡
b,
Yuri
Frosi
c,
Jessica
Nakhle
b,
Natia
Tsomaia
d,
Tarig
Bashir
b,
David P.
Lane
c,
Christopher J.
Brown
*c,
Chandra S.
Verma
*aef and
Serge
Auvin
*b
aBioinformatics Institute, A*STAR (Agency for Science, Technology and Research), 30 Biopolis Street, #07-01 Matrix, Singapore 138671. E-mail: chandra@bii.a-star.edu.sg; Tel: +65 6478 8273
bIpsen Innovation, 5, Avenue du Canada, Les Ulis, France 91940. E-mail: sergeauvin@gmail.com; Tel: +33 160 922481
cp53 Laboratory, A*STAR (Agency for Science, Technology and Research), 8A Biomedical Grove, #06-04/05, Neuros/Immunos, Singapore 138648. E-mail: cjbrown@p53lab.a-star.edu.sg; Tel: +65 6478 8273
dIpsen Bioscience, 650 East Kendall Street, Cambridge, MA 02142, USA
eDepartment of Biological Sciences, National University of Singapore, 14 Science Drive 4, Singapore 117543
fSchool of Biological Sciences, Nanyang Technological University, 50 Nanyang Drive, Singapore 637551
First published on 7th January 2019
Stapled-peptides have emerged as an exciting class of molecules which can modulate protein–protein interactions. We have used a structure-guided approach to rationally develop a set of hydrocarbon stapled-peptides with high binding affinities and residence times against the oncogenic eukaryotic translation initiation factor 4E (eIF4E) protein. Crystal structures of these peptides in complex with eIF4E show that they form specific interactions with a region on the protein-binding interface of eIF4E which is distinct from the other well-established canonical interactions. This recognition element is a major molecular determinant underlying the improved binding kinetics of these peptides with eIF4E. The interactions were further exploited by designing features in the peptides to attenuate disorder and increase helicity which collectively resulted in the generation of a distinct class of hydrocarbon stapled-peptides targeting eIF4E. This study details new insights into the molecular basis of stapled-peptide: eIF4E interactions and their exploitation to enhance promising lead molecules for the development of stapled-peptide compounds for oncology.
An emerging and exciting class of peptidic inhibitors are stapled-peptides, which have found increasing success in specifically targeting and inhibiting a wide range of protein–protein interactions (PPIs).13 Stapled-peptides are constrained (stapled) by chemical linkages, such as hydrocarbon chains, into a specific structural unit that mimics the conformation adopted by one of the epitopes in the protein–protein interaction. In addition, they generally exhibit improved metabolic stability and are better protected from proteolytic degradation compared to non-stapled peptides.14 Their clinical potential has been demonstrated by ALRN-6924, a first-in-class stapled-peptide candidate developed by Aileron Therapeutics that inhibits the p53: MDM2/MDMX interaction for treating advanced stage lymphoma.15 Hydrocarbon stapled-peptides were successfully used in vivo to disrupt interactions between pro- and anti-apoptotic members of the Bcl-2 protein family in order to modulate programmed cell death in cancer.16 They have also been explored as potential anti-viral compounds in vitro that can act by preventing protein-dimerization required for the correct assembly of virus capsids.17 Besides, they are suggested to have utility in modulating different pathways in numerous other pathologies highlighting the exciting promise held by this class of molecules as therapeutic solutions for several diseases.18 All together, these findings exemplify the utility of hydrocarbon stapled-peptides to form what is often termed “a third class of medicines” and thereby expand the druggable target space as PPI inhibitors.19
We have previously used structure-based rational design and optimization strategies to develop the first generation of hydrocarbon stapled-peptides against eIF4E.20 These are the only compounds currently reported in the literature that are able to bind to the protein-binding interface of eIF4E with nanomolar affinity. In contrast, small molecule inhibitors of the eIF4E/eIF4G interaction such as 4E1RCat21 and 4EGI-1
9 exhibit micromolar range affinity for eIF4E. Moreover, it was recently shown that 4EGI-1 binds to a non-canonical site on eIF4E and allosterically regulates the binding properties of peptides derived from eIF4G and 4EBP proteins.22 The weaker affinity of these small molecules likely originates from targeting an interface on eIF4E which is relatively flat lacking in deep grooves.23 Stapled-peptides may achieve higher affinities due to their large surface area for association and their canonical “YXXXXLφ” motif enabling specific strong interactions.20
In this study, we describe the rational design and development of highly potent second generation hydrocarbon stapled-peptides against eIF4E with enhanced binding kinetics and improved scaffold in terms of their degree of ordered helical character. We explore their modes of interaction with eIF4E through high resolution crystallographic data complemented by computational modeling which reveals new molecular insights into their mechanism of recognition. The work illustrates the generation of a distinct class of hydrocarbon stapled-peptides as potential lead compounds for drug development targeting eIF4E.
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| Fig. 1 sTIP-04 peptide. Crystal structure of hydrocarbon stapled sTIP-04 peptide (1KKRYSR*QLL*L12) in complex with eIF4E (PDB ID: 4BEA). The protein eIF4E is shown in surface (gray) and the backbone of the peptide in ribbon (green) representations respectively. The side-chain of the peptide residues are explicitly shown in stick representation and labeled. The hydrocarbon linker is highlighted in orange color. This depiction is followed in the rest of the figures unless specified. All the molecular graphics figures were created using PyMol molecular visualization software (Schrödinger). | ||
| Peptide | Sequencea | k on (M−1 s−1) | k off (s−1) | K D (nM) | RTc (s) |
|---|---|---|---|---|---|
| a The sequence of the stapled-peptides synthesized with an acetylated (Ac) N-terminus and an amidated (NH2) C-terminus. The specific location where the non-natural amino acids are incorporated to form the hydrocarbon linker is indicated by “*”. & = Lys(ButPhI). b Binding affinity (kinetic KD) measured as a ratio of “koff/kon”. c Residence Time (RT) measured as “1/koff”. The values reported are mean ± SEM from at-least two independent experiments. The binding affinity estimated for sTIP-13 was in the micromolar range (4 μM to 36 μM). NA: not applicable. Also see Fig. S1 and S2 for sensogram data. | |||||
| sTIP-05 | Ac-KKRYSR*QLL*F-NH2 | 1.5 ± 0.3 × 107 | 9.4 ± 0.8 × 10−2 | 6.6 ± 0.7 | 10.8 ± 0.9 |
| sTIP-06 | Ac-RIIYSR*QLL*L-NH2 | 2.7 ± 0.7 × 108 | 2.2 ± 0.8 × 10−1 | 0.8 ± 0.1 | 6.0 ± 2.4 |
| sTIP-07 | Ac-KKRYSR*QLL*FW-NH2 | 6.5 ± 0.3 × 105 | 2.8 ± 0.1 × 10−2 | 42.5 ± 0.5 | 36.3 ± 1.0 |
| sTIP-08 | Ac-RIIYSR*QLL*L&-NH2 | 6.2 ± 0.2 × 105 | 2.8 ± 0.1 × 10−2 | 45.2 ± 0.6 | 35.5 ± 1.3 |
| sTIP-09 | Ac-KKRYSR*QLL*FRRR-NH2 | 2.2 ± 0.3 × 106 | 1.6 ± 0.3 × 10−2 | 7.8 ± 1.9 | 68.8 ± 13.8 |
| sTIP-10 | Ac-KKRYSREQLL*FQR*-NH2 | 6.6 ± 0.1 × 106 | 2.6 ± 0.5 × 10−2 | 4.3 ± 0.4 | 39.7 ± 3.1 |
| sTIP-11 | Ac-KRYSR*QLL*F-NH2 | 2.3 ± 0.9 × 107 | 4.6 ± 1.2 × 10−1 | 21.9 ± 3.8 | 2.3 ± 0.6 |
| sTIP-12 | Ac-RYSR*QLL*F-NH2 | 4.2 ± 1.9 × 105 | 1.4 ± 0.2 × 10−1 | 397.3 ± 131.1 | 7.1 ± 1.0 |
| sTIP-13 | Ac-YSR*QLL*F-NH2 | NA | NA | NA | NA |
| sTIP-14 | Ac-RYSR*QLL*LFR-NH2 | 3.4 ± 1.6 × 105 | 5.8 ± 1.4 × 10−2 | 195.2 ± 49.7 | 18.3 ± 4.5 |
| sTIP-15 | Ac-RYSREQLL*FQR*-NH2 | 4.2 ± 2.3 × 106 | 2.4 ± 1.5 × 10−1 | 54.8 ± 6.4 | 6.7 ± 4.1 |
The crystal structure of sTIP-05 in complex with eIF4E was resolved (Fig. S3A and Table S1†) which revealed that the peptide was bound with an N-terminal extended conformation and a regular helical structure towards the C-terminal, including the i, i + 4 staple (Fig. 2A). The hydrocarbon linker was found to be exposed to the solvent and did not engage with eIF4E. The specific interactions observed in other peptide: eIF4E structures,11,12 including a hydrogen-bond and salt-bridge between Y4-P38 and R6-E132 respectively, docking of the sidechain of L9 into a shallow pocket on eIF4E and a hydrogen-bond between the peptide backbone and the W73 side-chain of eIF4E, are all preserved in this crystal structure (Fig. 2A). In addition to these canonical interactions, we noticed an exposed untapped patch on the surface of eIF4E with potential to be targeted by interactions with the C-terminal end of a modified peptide (Fig. 3A). This region comprised of residues W73, Y76, N77 and L131, offering aromatic, hydrophobic and hydrogen-bonding properties. Next, molecular dynamics (MD) simulations were carried out on the crystallographic complex of sTIP-05: eIF4E and on a modeled complex of sTIP-06: eIF4E (generated by constructing in silico amino acid changes in the crystal structure of sTIP-05: eIF4E complex). They showed that the patch on eIF4E remained solvent exposed and neither of the 12mer peptides could engage it (Movies S1 and S2†). We hypothesized that a peptide extension at the C-termini may help engage this patch for more efficient target binding.
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| Fig. 2 Canonical binding and interactions. Crystal structures of (A) sTIP-05 (PDB ID: 5ZJY), (B) sTIP-07 (PDB ID: 5ZJZ), (C) sTIP-08 (PDB ID: 5ZK9), (D) sTIP-09 (PDB ID: 5ZML), (E) sTIP-10 (PDB ID: 5ZK5) and (F) sTIP-14 (PDB ID: 5ZK7) hydrocarbon stapled-peptides in complex with eIF4E underlining the common binding mode and conserved interactions across all the structures. The backbone of the peptides is shown in ribbon (green), the protein in surface (gray) and the hydrocarbon linker is explicitly shown in stick (orange) representation. The backbone stereochemistry of the hydrocarbon linker in sTIP-05 is (R,R) whereas all the other peptides are in the (S,S) configuration. The residues involved in hydrogen-bond and salt-bridge interactions are indicated. The pocket where the conserved leucine residue (L9) docks onto the protein is specified by an arrow. The residue numbering for the protein is done as per the native eIF4E protein sequence (Uniprot ID: P06730). | ||
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| Fig. 3 Untapped patch and its engagement. Crystal structures of (A) sTIP-05 (PDB ID: 5ZJY), (B) sTIP-07 (PDB ID: 5ZJZ), (C) sTIP-08 (PDB ID: 5ZK9), (D) sTIP-09 (PDB ID: 5ZML), (E) sTIP-10 (PDB ID: 5ZK5) and (F) sTIP-14 (PDB ID: 5ZK7) hydrocarbon stapled-peptides in complex with eIF4E highlighting the untapped patch on the protein and its engagement by different peptides. The residues forming the patch on eIF4E are emphasized with a different colour combination as compared to the rest of the protein. The side-chain of the residues from the peptide that interact with the patch are explicitly shown and the hydrogen-bond wherever formed is indicated. Residue “&13” is the resolved “Lys” moiety of the modified “Lys(ButPhI)” amino acid in sTIP-08. | ||
We computationally modeled the missing functional group of &13 and subjected sTIP-07 and sTIP-08 complex structures to MD simulations. Analysis of the energies characterizing the simulations (including sTIP-05: eIF4E structure) showed that Y4, R6, L9, L10 and F12/L12 from the peptide made significant and stable energetic contributions (−1.7 to −7.2 kcal mol−1) to their binding with eIF4E consistently across all the three complexes (Fig. 4A–C). The hydrophobic/aromatic interactions between W13 and the residues from the protein as observed in the sTIP-07 crystal structure were fairly stable except for the W13–N77 hydrogen-bond (occupancy < 20%, Movie S3†), which nevertheless contributed to favorable binding energy (−3.2 kcal mol−1) from this residue (Fig. 4B). The “ButPhI” functional group of residue &13 in sTIP-08 was observed to be dynamic in the simulation and did not form any stable interactions with the protein (Movie S4†). Conversely, the “Lys” chain remained largely bound to the protein surface and significantly contributed to the binding energy (−3.6 kcal mol−1) between the protein and &13 at the C-terminus (Fig. 4C). This physical association with the protein could be the primary reason for the relative stability of the moiety and hence its resolution in the crystal structure. In summary, extending the C-termini of two stapled peptides with tryptophan or effectively lysine resulted in the efficient engagement of a previously untapped patch on eIF4E and an increase in the residence time of the peptide–protein complex.
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| Fig. 4 Residue-wise binding energy contribution. The average binding energy and standard deviation is computed from the ensemble of structures generated from the MD simulations of (A) sTIP-05, (B) sTIP-07, (C) sTIP-08, (D) sTIP-09, (E) sTIP-10 and (F) sTIP-14 hydrocarbon stapled-peptides in complex with eIF4E. The amino acid sequence of the respective peptides is indicated in the plot. The non-natural amino acids forming the hydrocarbon linker are represented by “*”. The calculation was done using the Molecular Mechanics/Generalized Born Surface Area (MM/GBSA) method by following the same procedure and parameters as described previously.20 | ||
Crystallization of the complexes of sTIP-09 and sTIP-10 with eIF4E (Fig. S3D, E and Table S1†) showed that the binding modes and interactions of these two peptides within the 12mer region were the same as in the parent molecule (Fig. 2D and E). However, in the sTIP-09 peptide, only R13 of the “13RRR15” sequence was completely resolved in the structure (Fig. S3D† and 3D). The guanidinium group of R13 was involved in cation–pi interactions with residues W73, Y76 and hydrogen-bond interaction with the side-chain of N77. For R14, only the backbone atoms were visible while no clear density was seen for R15. The crystal structure of sTIP-10 with eIF4E showed that the helical content of this peptide was relatively higher than in the other peptides because the i, i + 4 hydrocarbon staple stabilized an additional helical turn in the extended C-terminus of the peptide (Fig. 3E). However, this staple linker was still exposed to the solvent as observed in the other crystal structures, with no interactions made with the protein. The side-chain of Q13 behaved similar to W13 in sTIP-07 and R13 in sTIP-09, forming hydrogen-bond interactions with N77 and hydrophobic interactions with residues W73, Y76 and L131. Residue R14, being exposed to the solvent, did not form any specific interactions with eIF4E but should contribute to peptide solubility.
We computationally generated a complete model of the sTIP-09 peptide using the crystal structure as a template and subjected the complex to MD simulations (Movie S5†). The simulated trajectory showed that R13 was relatively stable, remained in contact with the protein residues (albeit via an unstable R13–N77 hydrogen-bond, occupancy < 10%) and hence, contributed favorably (−2.2 kcal mol−1) to binding along with the other core residues (Y4, R6, L9, L10 and F12; −1.7 to −7.3 kcal mol−1) in the peptide (Fig. 4D). R14 and R15 did not interact stably with the protein and this was also reflected in the absence of any significant energetic contributions from these residues (Fig. 4D). They were highly dynamic, corroborating the lack of density in the crystal structure, similar to that seen for the “ButPhI” functional group in &13. Simulations also showed that the extended poly arginine sequence formed a transient helical turn that fluctuated between random and ordered conformations (Movie S5†). MD simulations of the sTIP-10 and eIF4E crystal structure showed that the peptide maintained the additional helical turn observed at the C-terminus primarily because of the stability provided by the hydrocarbon linker (Movie S6†). Residue Q13 in the extended terminal segment contributed favorably (−2.0 kcal mol−1) to binding through its predominantly hydrophobic interactions with eIF4E along with the core residues (Y4, R6, L9, L10 and F12; −2.1 to −6.9 kcal mol−1) in the peptide (Fig. 4E). In summary, we observed that the C-terminal extension of the peptide engages the patch on eIF4E and provides additional new opportunities for stapling; the stapling also resulted in enhancing the helicity of the peptide and together, these modifications improved the residence time of the peptide–protein complex, while maintaining high affinity for eIF4E.
We systematically investigated the influence of this segment on the recognition of the peptide by sequentially deleting the “1KKR3” sequence from the 12mer sTIP-05 stapled-peptide derivative (Table 1). Deletion of K1 (sTIP-11) had little effect on binding, K1K2 deletion (sTIP-12) reduced the affinity several fold while the complete deletion of the 1KKR3 sequence (sTIP-13) resulted in almost complete abrogation of binding. These deletion experiments indicated that the presence of at-least one arginine residue in the peptide was critical for potent binding to eIF4E. Sequence comparison of equivalent peptide regions from different isoforms of eIF4G and 4EBP proteins that are known to interact with eIF4E, showed that these regions were highly variable except for the conservation of one basic charged residue (Fig. 5D). This collectively suggested that a single positively charged residue at the N-terminus is important to steer the peptide via long-range electrostatic forces towards the negative potential present near the protein-binding interface on eIF4E.
The crystal structure of sTIP-14 peptide complexed with eIF4E was resolved (Fig. S3F and Table S1†) and showed that the peptide interacted in the canonical mode as observed for other peptides, albeit with a lesser degree of disorder at the N-terminus (Fig. 2F and 5B). This is the first structure of such a tailored eIF4E interacting stapled-peptide which physically demonstrates that despite the terminal modulation involving the deletion of the two lysine residues, the specific intermolecular interactions between peptide and protein are preserved. The phenylalanine residue (F11) of the added “11FR12” sequence efficiently interacts with the patch on eIF4E (Fig. 3F) by forming pi-stacking interactions with aromatic residues W73, Y76 and hydrophobic interactions with L131. The last arginine (R12) is exposed to the solvent and does not appear to form any specific interactions with the protein in the crystal structure. We also computationally modeled the complex-state structure of sTIP-15 peptide and eIF4E using the sTIP-10 structure as template since the extended C-terminus has an identical sequence and hence would likely form similar interactions with the protein (Fig. 6A).
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| Fig. 6 Modelled complex and residue-wise binding energy. (A) Modelled complex structure of sTIP-15 and eIF4E. The conserved canonical interactions, the new detected patch on the protein surface and its engagement by the C-terminal residue of the peptide are highlighted. Residue “R12” in the peptide is not shown for clarity. (B) The average binding energy and standard deviation of the hydrocarbon stapled-peptide residues computed from the ensemble of structures generated from MD simulations of sTIP-15 and eIF4E complex. The non-natural amino acids forming the hydrocarbon linker is represented by “*”. The computation was done using MM/GBSA method as described previously.20 | ||
Both complexes were subjected to MD simulations and the computed binding energy showed that F11 (−2.8 kcal mol−1) in sTIP-14 and Q11 (−2.6 kcal mol−1) in sTIP-15 make energetic contributions comparable to other critical residues (Y2, R4, L7, L8 and F10/L10; −2.0 to −7.0 kcal mol−1) in the peptides whereas R12 had only a negligible impact in both peptides (<−0.2 kcal mol−1; Fig. 4F and 6B). The sTIP-15 peptide had a significantly higher helical character as compared to sTIP-14 due to the additional helicity at the C-terminus. A comparative analysis of the simulated trajectories also showed that the C-terminus of the peptide is more stable in sTIP-15 (Movies S5 and S6†). Based on these observations, we speculate that increased helicity is associated with significantly higher rate of association for sTIP-15 compared to sTIP-14, and could be a primary factor for rendering it a more effective derivative in rescuing the N-terminal deletions.
The rates of association are also observed to generally decrease as the peptide length is extended towards the C-terminus (for instance sTIP-07/sTIP-08 compared to sTIP-05/sTIP-06). One of the rate limiting steps in the association could arise from the degree of conformational rearrangement required to attain the bound state conformation. Molecular dynamics simulations of the free peptides in solution showed that the N-terminal segment is disordered whereas the C-terminal region which includes the stapled hydrocarbon linker largely adopts a helical conformation (Fig. S4A†). In the bound state too, the N-terminal segment remained disordered while the helicity of the C-terminal region increases and is observed to be more stable (Fig. S4B†). This indicates that these hydrocarbon stapled-peptides largely sample conformations that are predisposed for binding to eIF4E and they only undergo small reorganizational changes after docking with the protein. It is interesting to notice that the structural deviations between the bound and free conformations of the peptides are larger for sTIP-07/sTIP-08 as compared to sTIP-05/sTIP-06 (Fig. S4C and D†). This suggests that sTIP-07/sTIP-08 will have to undergo a relatively higher degree of reorganization to attain the bound state conformation compared to sTIP-05/sTIP-06. The formation of short-range intermolecular interactions with the protein could significantly impact the reorganization required. Hence, the additional specific interactions formed by the residues at the extended C-terminus (W13 and &13) for sTIP-07/sTIP-08 respectively could create a greater barrier and hence result in the lower association rates observed for these peptides as compared to sTIP-05/sTIP-06. However, there are also peptides which show a reduction in the rates of association due to deletion of residues from the N-terminal region (sTIP-12) or through a combination of both N-terminal deletion and C-terminal extension (sTIP-14, sTIP-15) as compared to the parent sTIP-05 peptide. The importance of the N-terminal segment is highlighted by the fact that sTIP-13 (deletion of K1K2R3) displayed negligible binding to eIF4E even though these three residues (K1K2R3) do not form any specific stable interactions with the protein other than likely steering the peptides towards the negatively charged surface near the protein-binding interface of eIF4E. So it is very probable that other factors such as the rate of diffusion (via electrostatic interactions) towards the binding interface also contribute to the differences in the observed rates of association.
The bound-state conformations of sTIP-10 and sTIP-14 reveal that terminal modulation of their sequences results in interesting conformational properties of the peptides (Fig. 7). sTIP-14 was optimized with regard to the positive chemical potential at the N-terminal end which is as critical as the conserved “YXXXXLφ” motif for the peptide to recognize and interact with eIF4E. The outcome of this optimization was a decrease in the disordered state at the N-terminus of the peptide (Fig. 7 and 5B). sTIP-10, on the other hand, was developed in order to enable the peptide to engage the exposed region on the surface of the protein which also resulted in increased helicity towards the C-terminus. The combined outcome of this modulation was the evolution of a distinct class of hydrocarbon stapled-peptide compound (sTIP-15) against eIF4E that has a significantly reduced disorder at one end and increased helical order at the other (Fig. 6A). The reduction in the disordered N-terminal fragment serves as an excellent opportunity to develop peptides with better pharmacological properties as disordered flexible segments are prone to proteosomal degradation. The enhancement in the helical component alternatively would create ordered peptides with better stabilities. This could also aid in the cellular permeability of the peptides which is currently one of the major challenges in the development of stapled-peptide based compounds into mature therapeutic molecules.31 However, all these aspects need to be further explored in a cellular context to understand whether the improvement of the physicochemical properties of the stapled peptides translates into better cellular entry, stability, target engagement and activity. In summary, the findings from this work provide critical and new insights into the structure–activity relationship of hydrocarbon stapled-peptide interactions with eIF4E. This knowledge provided fresh avenues for development of these peptides, notably through their optimization of residence time, and hence offers the promise of evolving some of them into promising lead candidates for targeting eIF4E in oncology.
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5
:
3
:
2) was added to the resin in a BIOTAGE vial and the mixture was shaken for 3 h. The resin was filtered and diethylether (35 ml) was added to the peptide in solution and the mixture was centrifuged for 10 min. The diethylether solution was decanted and the precipitation/centrifugation step repeated twice. The crude peptide was dissolved in water + 0.2% TFA and purified by PREP HPLC to reach more than 90% purity.
:
1 50 mM NHS
:
200 mM EDC. Diluted eIF4E in NaAc (pH 5.0), with m7GTP present in ≥2
:
1 ratio to saturate eIF4E, was injected over the sensor chip surface at a flow rate of 10 μl min−1. The remaining active coupling sites were blocked with a 7 min injection of 1 M ethanolamine at 10 μl min−1. The immobilization level is ∼2500 RU for eIF4E w/o tag and ∼5000 RU for eIF4E-His separately. Running buffer for immobilization was HBS-EP+ (10 mM HEPES, 150 mM NaCl, 3 mM EDTA, 0.05% surfactant P20).
Before measurement, the system was primed with assay running buffer HBS-EP+ (10 mM HEPES, 150 mM NaCl, 3 mM EDTA, 0.05% surfactant P20), with 1 mM DTT and 3% DMSO. Peptides were prepared by 3-fold dilution from high concentration to low concentration (3 μM to 1.372 nM). Peptides at increasing concentrations were injected over the chip surface for 60 s. The exposure was followed by a dissociation phase of 120 s. The flow rate was 30 μl min−1. Surface regeneration was done using 2 M NaCl 30 s at 30 μl min−1. Each reaction cycle ended with 50% DMSO extra wash. The solvent correction curve was setup by adding varying amounts of 100% DMSO to 1.03× running buffer to generate a range of DMSO solutions (2.000%, 2.286%, 2.571%, 2.857%, 3.143%, 3.429%, 3.714% and 4.000% respectively). After removing reference (blank buffer) signal and adding solvent correction, kinetics and/or steady-state parameters were calculated with Biacore T200 evaluation software ver. 3.0.
Footnotes |
| † Electronic supplementary information (ESI) available. See DOI: 10.1039/c8sc03759k |
| ‡ Equal authorship. |
| This journal is © The Royal Society of Chemistry 2019 |