Protein Crystals Research Articles

Filling in the gaps in biowaste biorefineries: The use of the solid residue after enzymatic hydrolysis for the production of biopesticides through solid-state fermentation

Alternative production processes using waste are necessary to preserve non-renewable resources and prevent scarcity of materials for future generations. Biowaste, the organic fraction of municipal solid waste, is abundant and easily available. It can be fractionated into building blocks for which fermentative processes can be designed. By using solid-state fermentation, this paper proposes a method of valorizing biowaste’s residual solid fraction after enzymatic hydrolysis. In a 22 L bioreactor, two digestates from anaerobic digestion processes were evaluated as cosubstrates to modify the acidic pH of the solid residue after enzymatic hydrolysis and promote the growth of the bacterial biopesticide producer Bacillus thuringiensis. Regardless of the cosubstrate used, the final microbial populations were similar indicating microbial specialization. The final product contained 4 × 108 spores per gram of dry matter and also crystal proteins of Bacillus thuringiensis var israelensis, which have insecticidal activity against pests. This method allows for the sustainable use of all materials liberated during the enzymatic hydrolysis of biowaste, including residual solids.

Enhancing Protein Crystal Nucleation Using In Situ Templating on Bioconjugate-Functionalized Nanoparticles and Machine Learning.

Although protein crystallization offers a promising alternative to chromatography for lower-cost protein purification, slow nucleation kinetics and high protein concentration requirements are major barriers for using crystallization as a viable strategy in downstream protein purification. Here, we demonstrate that nanoparticles functionalized with bioconjugates can result in an in situ template for inducing rapid crystallization of proteins at low protein concentration conditions. We use a microbatch crystallization setup to show that the range of successful crystallization conditions is expanded by the presence of functionalized nanoparticles. Furthermore, we use a custom machine learning-enabled emulsion crystallization setup to rigorously quantify nucleation parameters. We show that bioconjugate-functionalized nanoparticles can result in up to a 7-fold decrease in the induction time and a 3-fold increase in the nucleation rate of model proteins compared to those in control environments. We thus provide foundational insight that could enable crystallization to be used in protein manufacturing by reducing both the protein concentration and the time required to nucleate protein crystals.

Obtaining anomalous and ensemble information from protein crystals from 220 K up to physiological temperatures.

X-ray crystallography has been invaluable in delivering structural information about proteins. Previously, an approach has been developed that allows high-quality X-ray diffraction data to be obtained from protein crystals at and above room temperature. Here, this previous work is built on and extended by showing that high-quality anomalous signal can be obtained from single protein crystals using diffraction data collected at 220 K up to physiological temperatures. The anomalous signal can be used to directly determine the structure of a protein, i.e. to phase the data, as is routinely performed under cryoconditions. This ability is demonstrated by obtaining diffraction data from model lysozyme, thaumatin and proteinase K crystals, the anomalous signal from which allowed their structures to be solved experimentally at 7.1 keV X-ray energy and at room temperature with relatively low data redundancy. It is also demonstrated that the anomalous signal from diffraction data obtained at 310 K (37°C) can be used to solve the structure of proteinase K and to identify ordered ions. The method provides useful anomalous signal at temperatures down to 220 K, resulting in an extended crystal lifetime and increased data redundancy. Finally, we show that useful anomalous signal can be obtained at room temperature using X-rays of 12 keV energy as typically used for routine data collection, allowing this type of experiment to be carried out at widely accessible synchrotron beamline energies and enabling the simultaneous extraction of high-resolution data and anomalous signal. With the recent emphasis on obtaining conformational ensemble information for proteins, the high resolution of the data allows such ensembles to be built, while the anomalous signal allows the structure to be experimentally solved, ions to be identified, and water molecules and ions to be differentiated. Because bound metal-, phosphorus- and sulfur-containing ions all have anomalous signal, obtaining anomalous signal across temperatures and up to physiological temperatures will provide a more complete description of protein conformational ensembles, function and energetics.

A robust approach for MicroED sample preparation of lipidic cubic phase embedded membrane protein crystals

Crystallizing G protein-coupled receptors (GPCRs) in lipidic cubic phase (LCP) often yields crystals suited for the cryogenic electron microscopy (cryoEM) method microcrystal electron diffraction (MicroED). However, sample preparation is challenging. Embedded crystals cannot be targeted topologically. Here, we use an integrated fluorescence light microscope (iFLM) inside of a focused ion beam and scanning electron microscope (FIB-SEM) to identify fluorescently labeled GPCR crystals. Crystals are targeted using the iFLM and LCP is milled using a plasma focused ion beam (pFIB). The optimal ion source for preparing biological lamellae is identified using standard crystals of proteinase K. Lamellae prepared using either argon or xenon produced the highest quality data and structures. MicroED data are collected from the milled lamellae and the structures are determined. This study outlines a robust approach to identify and mill membrane protein crystals for MicroED and demonstrates plasma ion-beam milling is a powerful tool for preparing biological lamellae.

Effectiveness of Samia cynthia ricini Boisduval (Lepidoptera: Saturniidae) Cocoon Extract as UV Protectant of Bacillus thuringiensis kurstaki in Controlling Beet Armyworm Spodoptera exigua (Hübner) (Lepidoptera: Noctuidae) under Sunl

Bacillus thuringiensis (Bt) is a biological agent for insect pest management. Its toxins effectively control Spodoptera exigua Hübner (Lepidoptera: Noctuidae) larvae, but it is sensitive to ultraviolet (UV) radiation from the sunlight. This study aimed to investigate the effect of sericin extract from Samia ricini Boisduval (Lepidoptera: Saturniidae) cocoons as a UV protectant for Bt after exposure under direct sunlight for 1, 2, 3, and 4 weeks. After being exposed to sunlight, the Bt formulae were tested against 20 larvae of 24 hr old, the first larval instar in the laboratory. The larval mortality was observed 72 hr after the treatment. The results indicated that the mortality of S. exigua in Bt + sericin extract treatment was significantly different compared with Bt alone. For the first week, the mortality of S. exigua in exposed Bt + sericin exposed Bt alone, unexposed (Bt + sericin, and unexposed Bt alone were 80, 61, 85, and 97%, respectively. Scanning electron microscopy analysis revealed that Bt + sericin, after being exposed to sunlight, still showed the presence of spore and crystal protein comparable to the unexposed Bt. Based on the results, sericin provides good protection against sunlight and prevents the Bt spores from light-induced damage.

Unique Mechanical Properties of Gel-Incorporating Protein Crystals.

Crystalline materials that are grown in gel media exhibit reinforced mechanical characteristics. Studies on the mechanical properties of protein crystals are limited in numbers because of the difficulty in growing high-quality large crystals. This study shows the demonstration of the unique macroscopic mechanical properties by compression tests of large protein crystals grown in both solution and agarose gel. Particularly, the gel-incorporating protein crystals exhibit larger elastic limits and a higher fracture stress compared with the native protein crystals without gel. Conversely, the change in the Young's modulus corresponding to if the crystals incorporate the gel network is negligible. This suggests that gel networks affect only the fracture phenomenon. Thus, reinforced mechanical characteristics that cannot be obtained by the gel or the protein crystal alone can be developed. By combining the gel media and protein crystals, the gel-incorporating protein crystals show the potential to toughen without sacrificing other mechanical properties.

Textile Functionalization by Porous Protein Crystal Conjugation and Guest Molecule Loading

Protein crystals are versatile nanostructured materials that can be readily engineered for applications in nanomedicine and nanobiotechnology. Despite their versatility, the small size of typical individual protein crystals (less than one cubic mm) presents challenges for macroscale applications. One way to overcome this limitation is by immobilizing protein crystals onto larger substrates. Cotton is composed primarily of cellulose, the most common natural fiber in the world, and is routinely used in numerous material applications including textiles, explosives, paper, and bookbinding. Here, two types of protein crystals were conjugated to the cellulosic substrate of cotton fabric using a 1,1′-carbonyldiimidazole/aldehyde mediated coupling protocol. The efficacy of this attachment was assessed via accelerated laundering and quantified by fluorescence imaging. The ability to load guest molecules of varying sizes into the scaffold structure of the conjugated protein crystals was also assessed. This work demonstrates the potential to create multifunctional textiles by incorporating diverse protein crystal scaffolds that can be infused with a multiplicity of useful guest molecules. Cargo molecule loading and release kinetics will depend on the size of the guest molecules as well as the protein crystal solvent channel geometry. Here, we demonstrate the loading of a small molecule dye into the small pores of hen egg white lysozyme crystals and a model enzyme into the 13-nm pores delimited by “CJ” crystals composed of an isoprenoid-binding protein from Campylerbacter jejuni.

Characterizing the Self-Assembly Properties of Monoolein Lipid Isosteres.

Living cells feature lipid compartments which exhibit a variety of shapes and structures that assist essential cellular processes. Many natural cell compartments frequently adopt convoluted nonlamellar lipid architectures that facilitate specific biological reactions. Improved methods for controlling the structural organization of artificial model membranes would facilitate investigations into how membrane morphology affects biological functions. Monoolein (MO) is a single-chain amphiphile which forms nonlamellar lipid phases in aqueous solution and has wide applications in nanomaterial development, the food industry, drug delivery, and protein crystallization. However, even if MO has been extensively studied, simple isosteres of MO, while readily accessible, have seen limited characterization. An improved understanding of how relatively minor changes in lipid chemical structure affect self-assembly and membrane topology could instruct the construction of artificial cells and organelles for modeling biological structures and facilitate nanomaterial-based applications. Here, we investigate the differences in self-assembly and large-scale organization between MO and two MO lipid isosteres. We show that replacing the ester linkage between the hydrophilic headgroup and hydrophobic hydrocarbon chain with a thioesther or amide functional group results in the assembly of lipid structures with different phases not resembling those formed by MO. Using light and cryo-electron microscopy, small-angle X-ray scattering, and infrared spectroscopy, we demonstrate differences in the molecular ordering and large-scale architectures of the self-assembled structures made from MO and its isosteric analogues. These results improve our understanding of the molecular underpinnings of lipid mesophase assembly and may facilitate the development of MO-based materials for biomedicine and as model lipid compartments.

Process modelling of protein crystallisation: A case study of lysozyme

With the rise in interest of protein crystallisation as a purification step in downstream processing, there is significant interest in the process modelling of these crystallisation steps. Herein, we demonstrate and compare the applicability of “traditional” nucleation and growth models, commonly used to model small molecule crystallisation, for the successful population balance modelling of lysozyme crystallisation at the 100 mL and 1 L scales. Results show that both empirical power-law and first-principles models for nucleation and growth provide good fits to experimental data. Results from parameter estimation highlight a high degree of model sensitivity to initial guesses and stress the importance of providing particle size estimates in order to extract sensible data from the models. Estimates obtained for the 100 mL scale provided suitable initial guesses for the 1 L scale, despite significant differences in the final values obtained at each scale. For future work, further investigation into model validation upon scale-up is recommended. The work performed demonstrates the effectiveness of population balance modelling in the prediction of protein crystallisation behaviour, regardless of the underlying physical phenomena.

Amyloid Fibrils of Stefin B Show Anisotropic Properties

Human stefin B, a member of the cystatin family of cysteine protease inhibitors, tends to form amyloid fibrils under relatively mild conditions, which is why it is used as a model protein to study amyloid fibrillation. Here, we show for the first time that bundles of amyloid fibrils, i.e., helically twisted ribbons, formed by human stefin B exhibit birefringence. This physical property is commonly observed in amyloid fibrils when stained with Congo red. However, we show that the fibrils arrange in regular anisotropic arrays and no staining is required. They share this property with anisotropic protein crystals, structured protein arrays such as tubulin and myosin, and other anisotropic elongated materials, such as textile fibres and liquid crystals. In certain macroscopic arrangements of amyloid fibrils, not only birefringence is observed, but also enhanced emission of intrinsic fluorescence, implying a possibility to detect amyloid fibrils with no labels by using optical microscopy. In our case, no enhancement of intrinsic tyrosine fluorescence was observed at 303 nm; instead, an additional fluorescence emission peak appeared at 425 to 430 nm. We believe that both phenomena, birefringence and fluorescence emission in the deep blue, should be further explored with this and other amyloidogenic proteins. This may allow the development of label-free detection methods for amyloid fibrils of different origins.

Four-dimensional microED of conformational dynamics in protein microcrystals on the femto-to-microsecond timescales

As structural determination of protein complexes approaches atomic resolution, there is an increasing focus on conformational dynamics. Here we conceptualize the combination of two techniques which have become established in recent years: microcrystal electron diffraction and ultrafast electron microscopy. We show that the extremely low dose of pulsed photoemission still enables microED due to the strength of the electron bunching from diffraction of the protein crystals. Indeed, ultrafast electron diffraction experiments on protein crystals have already been demonstrated to be effective in measuring intermolecular forces in protein microcrystals. We discuss difficulties that may arise in the acquisition and processing of data and the overall feasibility of the experiment, paying specific attention to dose and signal-to-noise ratio. In doing so, we outline a detailed workflow that may be effective in minimizing the dose on the specimen. A series of model systems that would be good candidates for initial experiments is provided.

Solving the crystallographic phase problem using dynamical scattering in electron diffraction

Solving crystal structures from kinematical X-ray or electron diffraction patterns of single crystals requires many more diffracted beams to be recorded than there are atoms in the structure, since the phases of the structure factors can only be retrieved from such data if the atoms can be resolved as sharply peaked objects. Here a method is presented by which the fact that multiple scattering encodes structure factor phases in the diffracted intensities is being used for solving the crystallographic phase problem. The retrieval of both amplitudes and phases of electron structure factors from diffraction patterns recorded with varying angle of incidence will be demonstrated. No assumption about the scattering potential itself is being made. In particular, the resolution in the diffraction data does not need to be sufficient to resolve atoms, making this method potentially interesting for electron crystallography of 2-dimensional protein crystals and other beam-sensitive complex structures.

Structural analysis of fluid flow in complex biological systems

Biology is about structure. Structures within structures. Organs within animals, tissues within organs, cells within tissues, and molecules, often proteins within cells. The structures are so complex that they can only be described by numbers. No numbers are of more importance than those that describe proteins. The numbers that describe coordinates of its atoms, often determined by Patterson functions (which are inverse Fourier Transforms of intensities) of crystal diffraction. Without these numbers, structural biology would hardly exist. Without numbers, engineering would not exist. Numbers are surely needed by the engineers who produce the x-rays diffracting from atoms of protein crystals. Devices of engineering have function. They are built to implement equations. Engineering devices use structures to implement equations, when power is supplied at the right places, that produces appropriate flows. Flows are the essence of life. Equilibrium means death in most living systems. Flows in biological structures are hard to analyze because we do not know input output equations in advance. Sometimes we do not know the function of the structures. Flows, forces, and structures of life (like those of engineering) are related by field equations of conservation laws, partial differential equations, constrained by location and properties of structures. Constraints are boundary conditions located on the complicated domain of biological structure. The hierarchy of structures allows a handful of atoms (in proteins and nucleic acids) to control macroscopic function. Dealing with this complexity is simplified if one systematically analyzes structure using the most general field theory known, electricity described by the Maxwell equations, without significant known error. Currents are involved because flows of biology usually involve migration of charges, convection of water and solutes, diffusion of ions that form the plasma of life, and their interactions. Interactions can dominate function. Here I show how a few complex structures can be understood in engineering detail. This approach may be useful in dealing with biological and medical issues in many other cases. In one limited case—the clearance of a toxic waste (potassium ions) from the optic nerve—this approach seems to have succeeded.

Heterogeneous Nucleation in Protein Crystallization.

Protein crystallization was first discovered in the nineteenth century and has been studied for nearly 200 years. Protein crystallization technology has recently been widely used in many fields, such as drug purification and protein structure analysis. The key to successful crystallization of proteins is the nucleation in the protein solution, which can be influenced by many factors, such as the precipitating agent, temperature, solution concentration, pH, etc., among which the role of the precipitating agent is extremely important. In this regard, we summarize the nucleation theory of protein crystallization, including classical nucleation theory, two-step nucleation theory, and heterogeneous nucleation theory. We focus on a variety of efficient heterogeneous nucleating agents and crystallization methods as well. The application of protein crystals in crystallography and biopharmaceutical fields is further discussed. Finally, the bottleneck of protein crystallization and the prospect of future technology development are reviewed.

Molecular surveillance of Kelch-13 gene in Plasmodium falciparum field isolates from Mayurbhanj District, Odisha, India, and in silico artemisinin-Kelch-13 protein interaction study.

The global malaria control and elimination program faces major threats due to the emergence and transmission of the anti-malarial drug-resistant strain of Plasmodium falciparum. Monitoring of artemisinin (ART) resistance marker Kelch-13 in the malaria-endemic region is essential in mitigating the disease's morbidity and mortality. The current study aimed to generate baseline information for further surveillance in the future. The current research was designed and conducted from July 2019 to June 2021 to monitor Pfkelch13 mutation at the molecular level in the eastern region of India. We also conducted an in silico study to understand the drug-protein interactions between ART and the protein crystal of PfKelch13 (KELCH) with PDB id:4ZGC. The kelch-13 gene was amplified by nested polymerase chain reaction (PCR) and sequenced through the Sanger sequencing method. Reference 3D7 clone (PF3D7_1343700) was used to align and probe all the sequences. The sequence analysis showed the absence of validated or associated mutation in the Kelch-13 propeller domain. The absence of natural selection in drug resistance was confirmed by the Tajima test. Further, in silico interaction studies between the drug ART and the Kelch propeller domain of P. falciparum were evaluated by structure predictions, molecular docking, molecular dynamics (MD) simulations, and estimations of binding free energies for the KELCH-ART complex. The results were compared with the apoprotein (KELCH-APO). The study confirmed the favorable binding of ART with the Kelch-13 propeller domain.

Dynamics and thermodynamics of bimolecular reactions at heterogeneous biological interfaces.

The behaviors of biomolecules at heterogeneous biological aqueous-nonaqueous interfaces markedly differ from those in bulk water. We found that various biomolecular reactions, including protein unfolding, protein-ligan binding, chlorophyll demetallation, redox reactions, and crystallization, are accelerated by a factor of 103 or higher at the interface of micron-sized water droplets (microdroplets) (PNAS, 2015; QRevPhys, 2015 and 2017). The FRET analysis revealed that molecules are highly localized at the nanoscale regime near the water surface, which is in part responsible for the observed accelerated dynamics (JPCB, 2020). Besides, the thermodynamics of biomolecular reactions are also altered near the water surface. We found that molecules are in highly ordered states near the aqueous-nonaqueous interface (Sci Adv, 2020, Sci Rep, 2020). This minimized entropy lowers entropic barriers so that thermodynamically unfavorable reactions such as phosphorylation and RNA formation can proceed without any enzyme or ATP energy source at room temperature (PNAS 2017, 2018). Moreover, the charge exchange between water molecules and biomolecules spontaneously occurs at the water interface, leading to the oxidation of water molecules and the reduction of biomolecules in the Krebs cycle (JACS, 2019; Nat Commun, 2018; PNAS, 2018, 2019; Chem Sci, 2019). Vibrational Stark spectroscopy coupled with stimulated Raman excited fluorescence microscopy showed the presence of a strong intrinsic interfacial electric field formed at the surface of the microdroplet (JPCL, 2020). This strong electric field, combined with the partial desolvation effect, can be responsible for the unusual behaviors of biomolecules at the aqueous-nonaqueous interface (Annu Rev Phys Chem, 2020). These findings suggest that the dynamics and thermodynamics of biomolecular reactions occurring in cells with various aqueous-nonaqueous interfaces and compartments may significantly differ from those in bulk water.

Exploring AlphaFold2's Performance on Predicting Amino Acid Side-Chain Conformations and Its Utility in Crystal Structure Determination of B318L Protein.

Recent technological breakthroughs in machine-learning-based AlphaFold2 (AF2) are pushing the prediction accuracy of protein structures to an unprecedented level that is on par with experimental structural quality. Despite its outstanding structural modeling capability, further experimental validations and performance assessments of AF2 predictions are still required, thus necessitating the development of integrative structural biology in synergy with both computational and experimental methods. Focusing on the B318L protein that plays an essential role in the African swine fever virus (ASFV) for viral replication, we experimentally demonstrate the high quality of the AF2 predicted model and its practical utility in crystal structural determination. Structural alignment implies that the AF2 model shares nearly the same atomic arrangement as the B318L crystal structure except for some flexible and disordered regions. More importantly, side-chain-based analysis at the individual residue level reveals that AF2's performance is likely dependent on the specific amino acid type and that hydrophobic residues tend to be more accurately predicted by AF2 than hydrophilic residues. Quantitative per-residue RMSD comparisons and further molecular replacement trials suggest that AF2 has a large potential to outperform other computational modeling methods in terms of structural determination. Additionally, it is numerically confirmed that the AF2 model is accurate enough so that it may well potentially withstand experimental data quality to a large extent for structural determination. Finally, an overall structural analysis and molecular docking simulation of the B318L protein are performed. Taken together, our study not only provides new insights into AF2's performance in predicting side-chain conformations but also sheds light upon the significance of AF2 in promoting crystal structural determination, especially when the experimental data quality of the protein crystal is poor.

Computational fragment screening of dimeric SARS-CoV-2 main protease.

During the coronavirus pandemic the lack of antiviral therapeutics drove intense interest in rapid drug discovery by the scientific, and medical communities. The Voelz lab took part in the COVID Moonshot initiative, which focused on virtually screening small drug-like fragments as leads for inhibitors of the main protease (Mpro) of SARS-CoV-2, identified using high throughput crystallographic techniques. The Voelz lab performed absolute binding free energy calculations on the [email protected] distributed computing platform to massively parallelize the molecular dynamic (MD) simulations. Crystallographic fragment-based screening techniques can be time consuming, costly, and dependent on the availability of protein crystals. Could fragment based drug discovery be performed completely in silico? To address this question, we aim to perform simulations to virtually screen the original fragment library used in the COVID Moonshot, and assess the accuracy of the predictions. The GROMACS simulation package was used to construct a simulation topology of the apo form of dimeric Mpro from its crystal structure. The correct protonation states of titratable residues were taken from published experimental results. As a first step, we prepared and performed a set of simulations of Mpro in solution, each with one of 11 drug fragments selected from the crystallographic fragment screen, all of which are known to co-crystallize with Mpro experimentally. The simulations are analyzed to determine where the drug fragments like to bind to the Mpro receptor. These results are compared results to the experimental co-crystal structures to determine how accurately MD simulations can predict the known binding pose of small drug like fragments.

Exogenous Protein Delivery of Ionic Liquid-Mediated HMGB1 Coating on Titanium Implants.

Strategies for modifying titanium (Ti) implant surfaces are becoming increasingly popular to enhance osseointegration during acute and inflammatory healing stages. In this study, two dicationic imidazolium-based ionic liquids (IonLs) containing phenylalanine and methionine anions (IonL-Phe(1,10-bis(3-methylimidazolium-1-yl)decane diphenylalanine) and IonL-Met(1,10-bis(3-methylimidazolium-1-yl)decane dimethionine)) were investigated to stably deliver exogenous proteins on Ti to promote osseointegration. The protein selected for this study is High-Mobility Group Box 1 (HMGB1), which recruits inflammatory and mesenchymal stem cells to the implantation site, contributing to healing. To explore IonL-Ti interactions and HMGB1 stability on the IonL-coated surface, experimental characterization techniques including X-ray photoelectron spectroscopy, scanning electron microscopy, dynamic scanning calorimetry (DSC), and liquid chromatography mass spectrometry (LC-MS) were used along with molecular dynamics (MD) computer simulations to provide a detailed molecular level description. Results show well-structured IonL molecules on the Ti surface that impact protein crystallization and coating morphology. IonL cations and anions were found to bind strongly to oppositely charged residues of the protein. LC-MS/MS reveals that HMGB1 B-box lysine residues bind strongly to the IonLs. Stronger interactions of HMGB1 with Ion-Phe in contrast to IonL-Met results in greater retention capacity of HMGB1 in the IonL-Phe coating. Overall, this study provides evidence that the selected IonLs strongly interact with HMGB1, which can be a potential surface treatment for bone-implantable Ti devices.

PH-Driven Polymorphic Behaviour of the Third PDZ Domain of PSD95: The Role of Electrostatic Interactions

The PDZ domains are modular domains that recognise short linear C-terminal sequences in proteins that organise the formation of complex multi-component assemblies. We have crystallised the third PDZ domain of the neuronal postsynaptic density-95 protein (PSD95-PDZ3) at mildly acidic pH conditions and obtained up to four polymorphs. Thus, below pH 4.0, the protein crystallised into prism-shaped crystals that belonged to the trigonal space group P3112. In contrast, above this pH value, the crystals’ shape changes to long needles belonging to the monoclinic P21 and two different orthorhombic packings of the P212121 space group. In addition, all the polymorphs share the main crystallographic interface, where the sidechain of the Asp332 imitates the binding of the C-terminal moiety to the canonical binding motif. Furthermore, we have analysed how changes in the ionisation state of some specific residues might be critical for crystallising the different polymorphs. The analysis of these polymorphs provides clues on the relevance of specific protein-protein interactions in protein crystallisation. However, these structures allow dissecting those electrostatic interactions that play a role in the conformation adopted by some residues and the extra-domain components upon binding C-terminal sequences.