Artificial Protein Research Articles

Signal sequence-triage is activated by translocon obstruction sensed by an ER stress sensor IRE1α.

Secretory pathway proteins are cotranslationally translocated into the endoplasmic reticulum (ER) of metazoan cells through the protein channel, translocon. Given that there are far fewer translocons than ribosomes in a cell, it is essential that secretory protein-translating ribosomes only occupy translocons transiently. Therefore, if translocons are obstructed by ribosomes stalled or slowed in translational elongation, it possibly results in deleterious consequences to cellular function. Hence, we investigated how translocon clogging by stalled ribosomes affects mammalian cells. First, we constructed ER-destined translational arrest proteins (ER-TAP) as an artificial protein that clogged the translocon in the ER membrane. Here, we show that the translocon clogging by ER-TAP expression activates triage of signal sequences (SS) in which secretory pathway proteins harboring highly efficient SS are preferentially translocated into the ER lumen. Interestingly, the translocon obstructed status specifically activates inositol requiring enzyme 1α (IRE1α) but not protein kinase R-like ER kinase (PERK). Given that the IRE1α-XBP1 pathway mainly induces the translocon components, our discovery implies that lowered availability of translocon activates IRE1α, which induces translocon itself. This results in rebalance between protein influx into the ER and the cellular translocation capacity.Keywords: endoplasmic reticulum, translocation capacity, translocon clogging, IRE1, signal sequence.

Elitist Animal Migration Optimization for Protein Structure Prediction based on 3D Off-Lattice Model

Predicting the structure of protein has been the center of attraction for the researchers. The aim is to make a reliable prediction of the protein structure by obtaining the minimum energy values among amino acids interactions. According to the generated shape of amino acids, the functionality of the proteins can be determined. However, it is known as one of the most challenging tasks in the field of bioinformatics considering its high computation complexity. Metaheuristic algorithms are mainly preferred by researchers from various fields, since their performances are quite satisfactory in solving such complex problems. Animal Migration Optimization (AMO) algorithm is a metaheuristic approach which mimics the behavior of animals during the migration process. However, in this research to reach a high solution quality, an elitist version of Animal Migration Optimization (ELAMO) algorithm is considered and in particular it is applied to Protein Structure Prediction (PSP) problem. The performance of ELAMO is tested on some well-studied artificial and real protein sequences, and then compared with powerful optimization algorithms which are specially designed for solving PSP problem. The results show that ELAMO is quite capable in solving this problem. Hence, it can be used as an efficient optimizer for solving complex problems that require better solution quality in the field of bioinformatics.

TEV protease cleavage in generation of artificial substrate proteins bearing neo-N-termini.

The tobacco etch virus (TEV) protease is widely used in in vitro and in vivo approaches for the removal of affinity tags from fusion proteins or the generation of proteins with a desired N-terminal amino acid. Processing of fusion proteins by the TEV protease can either be achieved by encoding the TEV protease and its recognition site on one construct (self-cleavage) or on two different constructs (co-expression). Here, we compare the efficiency of the self-splitting approach to the co-expression approach.

Structural and dynamic heterogeneity in associative networks formed by artificially engineered protein polymers.

This work investigates static gel structure and cooperative multi-chain motion in associative networks using a well-defined model system composed of artificial coiled-coil proteins. The combination of small-angle and ultra-small-angle neutron scattering provides evidence for three static length scales irrespective of protein gel design which are attributed to correlations arising from the blob length, inter-junction spacing, and multi-chain density fluctuations. Self-diffusion measurements using forced Rayleigh scattering demonstrate an apparent superdiffusive regime in all gels studied, reflecting a transition between distinct "slow" and "fast" diffusive species. The interconversion between the two diffusive modes occurs on a length scale on the order of the largest correlation length observed by neutron scattering, suggesting a possible caging effect. Comparison of the self-diffusive behavior with characteristic molecular length scales and the single-sticker dissociation time inferred from tracer diffusion measurements supports the primarily single-chain mechanisms of self-diffusion as previously conceptualized. The step size of the slow mode is comparable to the root-mean-square length of the midblock strands, consistent with a single-chain walking mode rather than collective motion of multi-chain aggregates. The transition to the fast mode occurs on a timescale 10-1000 times the single-sticker dissociation time, which is consistent with the onset of single-molecule hopping. Finally, the terminal diffusivity depends exponentially on the number of stickers per chain, further suggesting that long-range diffusion occurs by molecular hopping rather than sticky Rouse motion of larger assemblies. Collectively, the results suggest that diffusion of multi-chain clusters is dominated by the single-chain pictures proposed in previous coarse-grained modeling.

Hydrogen/Deuterium Exchange Mass Spectrometry of Heme-Based Oxygen Sensor Proteins.

Hydrogen/deuterium exchange (HDX) is a well-established analytical technique that enables monitoring of protein dynamics and interactions by probing the isotope exchange of backbone amides. It has virtually no limitations in terms of protein size, flexibility, or reaction conditions and can thus be performed in solution at different pH values and temperatures under controlled redox conditions. Thanks to its coupling with mass spectrometry (MS), it is also straightforward to perform and has relatively high throughput, making it an excellent complement to the high-resolution methods of structural biology. Given the recent expansion of artificial intelligence-aided protein structure modeling, there is considerable demand for techniques allowing fast and unambiguous validation of in silico predictions; HDX-MS is well-placed to meet this demand. Here we present a protocol for HDX-MS and illustrate its use in characterizing the dynamics and structural changes of a dimeric heme-containing oxygen sensor protein as it responds to changes in its coordination and redox state. This allowed us to propose a mechanism by which the signal (oxygen binding to the heme iron in the sensing domain) is transduced to the protein's functional domain.

Believing in science

In 2021, the journal Science highlighted three major breakthroughs, respectively, the development of Artificial Intelligence-powered protein structure prediction tools, the use of ancient soil nuclear DNA and the clinical application of in vivo CRISPR gene editing to cure two genetic conditions. Also three major breakdowns were pointed out: an unfortunate FDA approval of Aducanumab for Alzheimer's disease, a continued inaction on climate change and the fact that politicians were exploiting social media to undermine scientific credibility on critical issues ranging from the development and the use of vaccines in the middle of a pandemic to the impending devastation of climate change (Editorial, Science, vol. 374, no. 6574, December 17, 2021). This enormous contrast between scientific breakthroughs and breakdowns is, to say the least, deplorable. Indeed, the breakthrough in protein folding is one of the greatest scientific achievements enabling important future research. By contrast, the loss of respect for scientific authority observed globally is entirely disheartening. In response a call for action is needed urgently. This paper aims at providing a general framework in order to reinforce scientific credibility. As defined by C.H. Waddington, “Science is the organized attempt of mankind to discover how things work as causal systems” (C.H. Waddington: The Scientific Attitude, Penguin Books, 1948). From basic research to applied research Science encompasses a very large spectrum (V. Bush: Science: the endless frontier, National Science Foundation, 1945). In addition, to the use-inspired basic research (the Pasteur's Quadrant) there is an important research less inspired by the goal of understanding or the goal of use (D.E. Stokes: Pasteur's Quadrant: Basic Science and Technological Innovation, Brookings Institution Press, 1997). Nevertheless, from basic research to applied research, the route is risky and the time lag required in translational research is at least 17 years (Z. S. Morris et al., J R Soc Med 2011:104:510–520). However, in 2020, just a single year was needed to develop effective vaccines against acute respiratory syndrome coronavirus 2 (SARS-CoV-2) (Editorial, Science, vol. 270, no. 6523, December 18, 2020). This monumental achievement is remarkable as it illustrates the power of Science if given its head. Therefore to address this loss of scientific credibility in the present context of misinformation (O'Connor and J. Weatherall: The Misinformation Age, Yale University Press, 2019) a novel democracy founded on Science should be elaborated further (P.Kitcher: Science, Truth, and Democracy, Oxford University Press, 2001). At least two major lines of force could be addressed: First, the education of Science goals and its rigorous methodology should be reinforced vigorously. Namely, methods and the scientific process to advance knowledge and arrive at evidence-based judgments rather than memorized facts should be taught widely (Editorial, Science: vol. 375, no. 6587, March 25, 2022). In particular, the importance of Rigor, Robustness and Reproducibility (R. Harris: Rigor Mortis, Basic Books, 2017) as well as the value of a control and actually thinking by numbers (I. Ayres: Super Crunchers, Bantam Books, 2007) should be taught again and again. Finally, Science should rely heavily on truth and not on truthiness (H. Wainer: Truth or Thruthiness, Cambridge University Press, 2016). Second, there is a unity of knowledge (consilience) and a scientific methodology that links biology, the humanities and art should be advocated. (E.O. Wilson: Consilience: The Unity of Knowledge, Harvard University Press, 1998). Indeed, Science is more like art than not, and the function of modern artists is not to convey beauty but to convey new truths (E. Kandel: The Age of Insight, Random House, 2012). Finally “Science should become an attitude to the world, a way of living. Indeed, the scientific attitude is tolerant, friendly and humane. It has already become the dominant inspiration of human culture, so that modern artists derive their most constructive ideas from scientific thoughts. It is the only activity which is today vital and strong enough to lead mankind forward along the path evolution has marked out for humans” (C.H. Waddington: The Scientific Attitude, Penguin Books, 1948). This work is dedicated with appreciation to the Editors, Associate Editors and the Wiley Editorial & Production Officers of the Journal Birth Defects Research.

On the role of membrane embedding, protein rigidity and transmembrane length in lipid membrane fusion.

The fusion of biological membranes is ubiquitous in natural processes like exo- and endocytosis, intracellular trafficking and viral entry. Membrane fusion is also utilized in artificial biomimetic fusion systems, e.g. for drug delivery. Both the natural and the biomimetic fusion systems rely on a wide range of (artificial) proteins mediating the fusion process. Although the exact mechanisms of these proteins differ, clear analogies in their general behavior can be observed in bringing the membranes in close proximity and mediating the fusion reaction. In our study, we use molecular dynamics simulations with coarse grained models, mimicking the general behavior of fusion proteins (spikes), to systematically examine the effects of specific characteristics of these proteins on the fusion process. The protein characteristics considered are (i) the type of membrane embedding, i.e., either transmembrane or not, (ii) the rigidity, and (iii) the transmembrane domain (TMD) length. The results show essential differences in fusion pathway between monotopic and transmembrane spikes, in which transmembrane spikes seem to inhibit the formation of hemifusion diaphragms, leading to a faster fusion development. Furthermore, we observed that an increased rigidity and a decreased TMD length both proved to contribute to a faster fusion development. Finally, we show that a single spike may suffice to successfully induce a fusion reaction, provided that the spike is sufficiently rigid and attractive. Not only does this shed light on biological fusion of membranes, it also provides clear design rules for artificial membrane fusion systems.

Dual Modification of Artificial Protein Cage.

Chemical modifications of proteins confer new functions on them or modulate their original functions. Although various approaches are developed for modifications, modifications of the two different reactive sites of proteins by different chemicals are still challenging. In this chapter, we show a simple approach for selective modifications of both interior and exterior surfaces of protein nanocages by two different chemicals based on a molecular size filter effect of the surface pores.

Unnatural helical peptidic foldamers as protein segment mimics.

Unnatural helical peptidic foldamers have attracted considerable attention owing to their unique folding behaviours, diverse artificial protein binding mechanisms, and promising applications in chemical, biological, medical, and material fields. Unlike the conventional α-helix consisting of molecular entities of native α-amino acids, unnatural helical peptidic foldamers are generally comprised of well-defined backbone conformers with unique and unnatural structural parameters. Their folded structures usually arise from unnatural amino acids such as N-substituted glycine, N-substituted-β-alanine, β-amino acid, urea, thiourea, α-aminoxy acid, α-aminoisobutyric acid, aza-amino acid, aromatic amide, γ-amino acid, as well as sulfono-γ-AA amino acid. They can exhibit intriguing and predictable three-dimensional helical structures, generally featuring superior resistance to proteolytic degradation, enhanced bioavailability, and improved chemodiversity, and are promising in mimicking helical segments of various proteins. Although it is impossible to include every piece of research work, we attempt to highlight the research progress in the past 10 years in exploring unnatural peptidic foldamers as protein helical segment mimics, by giving some representative examples and discussing the current challenges and future perspectives. We expect that this review will help elucidate the principles of structural design and applications of existing unnatural helical peptidic foldamers in protein segment mimicry, thereby attracting more researchers to explore and generate novel unnatural peptidic foldamers with unique structural and functional properties, leading to more unprecedented and practical applications.

Artificial Protein Cages Assembled via Gold Coordination.

Artificial protein cages made from multiple copies of a single protein can be produced such that they only assemble upon addition of a metal ion. Consequently, the ability to remove the metal ion triggers protein-cage disassembly. Controlling assembly and disassembly has many potential uses including cargo loading/unloading and hence drug delivery. TRAP-cage is an example of such a protein cage which assembles due to linear coordination bond formation with Au(I) which acts to bridge constituent proteins. Here we describe the method for production and purification of TRAP-cage.

Close packings of identical proteins in small spherical capsids and similar proteinaceous shells.

Understanding the principles governing protein arrangement in viral capsids and structurally similar protein shells can enable the development of new antiviral strategies and the design of artificial protein cages for various applications. We study these principles within the context of the close packing problem, by analyzing dozens of small spherical shells assembled from a single type of protein. First, we use icosahedral spherical close packings containing 60T identical disks, where T ≤ 4, to rationalize the protein arrangement in twenty real icosahedral shells both satisfying and violating the paradigmatic Caspar-Klug model. We uncover a striking correspondence between the protein mass centers in the considered shells and the centers of disks in the close packings. To generalize the packing model, we consider proteins with a weak shape anisotropy and propose an interaction energy, minimization of which allows us to obtain spherical dense packings of slightly anisotropic structural units. In the case of strong anisotropy, we model the proteins as sequences of overlapping discs of different sizes, with minimum energy configuration not only resulting in packings, accurately reproducing locations and orientations of individual proteins, but also revealing that icosahedral packings that display the handedness of real capsids are energetically more favorable. Finally, by introducing effective disc charges, we rationalize the formation of inter-protein bonds in protein shells.

Self-oxidation of cysteine to sulfinic acid in an engineered T67C myoglobin: structure and reactivity.

Myoglobin (Mb) was found to undergo self-oxidation when a cysteine residue was engineered at position 67 in the heme distal site. Both the X-ray crystal structure and mass spectrum confirmed the formation of a sulfinic acid (Cys-SO2H). Moreover, the self-oxidation could be controlled during protein purification to yield the unmodified form (T67C Mb). Importantly, both T67C Mb and T67C Mb (Cys-SO2H) were able to be labeled by chemicals, which provided useful platforms to generate artificial proteins.

Didepside Formation by the Nonreducing Polyketide Synthase Preu6 of Preussia isomera Requires Interaction of Starter Acyl Transferase and Thioesterase Domains.

Orsellinic acid (OA) derivatives are produced by filamentous fungi using nonreducing polyketide synthases (nrPKSs). The chain-releasing thioesterase (TE) domains of such nrPKSs were proposed to also catalyze dimerization to yield didepsides, such as lecanoric acid. Here, we use combinatorial domain exchanges, domain dissections and reconstitutions to reveal that the TE domain of the lecanoric acid synthase Preu6 of Preussia isomera must collaborate with the starter acyl transferase (SAT) domain from the same nrPKS. We show that artificial SAT-TE fusion proteins are highly effective catalysts and reprogram the ketide homologation chassis to form didepsides. We also demonstrate that dissected SAT and TE domains of Preu6 physically interact, and SAT and TE domains of OA-synthesizing nrPKSs may co-evolve. Our work highlights an unexpected domain-domain interaction in nrPKSs that must be considered for the combinatorial biosynthesis of unnatural didepsides, depsidones, and diphenyl ethers.

Effect of Charged-cluster Distribution of the ZIF268 Zinc Finger Surface on Cell Membrane Permeability

To investigate the importance of charged-cluster distribution in cell permeability, ZIF268 zinc finger (ZF) was examined as a new target protein. We found that in addition to the total number of cationic charges, the surface distribution of cationic and anionic clusters has a significant impact on intracellular transport. These findings may be useful for predicting other ZFs with high membrane permeability based on the distribution of charged clusters and for redesigning natural ZFs to create artificial proteins with efficient membrane permeability.

Reversible Assembly of an Artificial Protein Nanocage Using Alkaline Earth Metal Ions

Protein nanocages are of increasing interest for use as drug capsules, but the encapsulation and release of drug molecules at appropriate times require the reversible association and dissociation of the nanocages. One promising approach to addressing this challenge is the design of metal-dependent associating proteins. Such designed proteins typically have Cys or His residues at the protein surface for connecting the associating proteins through metal-ion coordination. However, Cys and His residues favor interactions with soft and borderline metal ions, such as Au+ and Zn2+, classified by the hard and soft acids and bases concept, restricting the types of metal ions available to drive association. Here, we show the alkaline earth (AE) metal-dependent association of the recently designed artificial protein nanocage TIP60, which is composed of 60-mer fusion proteins. The introduction of a Glu (hard base) mutation to the fusion protein (K67E mutant) prevented the formation of the 60-mer but formed the expected cage structure in the presence of Ca, Sr, or Ba ions (hard acids). Cryogenic electron microscopy (cryo-EM) analysis indicated a Ba ion at the interface of the subunits. Furthermore, we demonstrated the encapsulation and release of single-stranded DNA molecules using this system. Our results provide insights into the design of AE metal-dependent association and dissociation mechanisms for proteins.

AlphaFill: enriching AlphaFold models with ligands and cofactors

Artificial intelligence-based protein structure prediction approaches have had a transformative effect on biomolecular sciences. The predicted protein models in the AlphaFold protein structure database, however, all lack coordinates for small molecules, essential for molecular structure or function: hemoglobin lacks bound heme; zinc-finger motifs lack zinc ions essential for structural integrity and metalloproteases lack metal ions needed for catalysis. Ligands important for biological function are absent too; no ADP or ATP is bound to any of the ATPases or kinases. Here we present AlphaFill, an algorithm that uses sequence and structure similarity to ‘transplant’ such ‘missing’ small molecules and ions from experimentally determined structures to predicted protein models. The algorithm was successfully validated against experimental structures. A total of 12,029,789 transplants were performed on 995,411 AlphaFold models and are available together with associated validation metrics in the alphafill.eu databank, a resource to help scientists make new hypotheses and design targeted experiments.

Photocatalytic Hydrogen Production and Carbon Dioxide Reduction Catalyzed by an Artificial Cobalt Hemoprotein

The covalent insertion of a cobalt heme into the cavity of an artificial protein named alpha Rep (αRep) leads to an artificial cobalt hemoprotein that is active as a catalyst not only for the photo-induced production of H2, but also for the reduction of CO2 in a neutral aqueous solution. This new artificial metalloenzyme has been purified and characterized by Matrix Assisted Laser Desorption Ionization-Time of Flight Mass Spectrometry (MALDI-TOF MS), circular dichroism, and UltraViolet-Visible spectroscopy. Using theoretical experiments, the structure of this biohybrid and the positioning of the residues near the metal complex were examined, which made it possible to complete the coordination of the cobalt ion by an axial glutamine Gln283 ligand. While the Co(III)-porphyrin catalyst alone showed weak catalytic activity for both reactions, 10 times more H2 and four times more CO2 were produced when the Co(III)-porphyrin complex was buried in the hydrophobic cavity of the protein. This study thus provides a solid basis for further improvement of these biohybrids using well-designed modifications of the second and outer coordination sphere by site-directed mutagenesis of the host protein.

Non-Conserved Amino Acid Residues Modulate the Thermodynamics of Zn(II) Binding to Classical ββα Zinc Finger Domains

Classical zinc fingers domains (ZFs) bind Zn(II) ion by a pair of cysteine and histidine residues to adopt a characteristic and stable ββα fold containing a small hydrophobic core. As a component of transcription factors, they recognize specific DNA sequences to transcript particular genes. The loss of Zn(II) disrupts the unique structure and function of the whole protein. It has been shown that the saturation of ZFs under cellular conditions is strictly related to their affinity for Zn(II). High affinity warrants their constant saturation, while medium affinity results in their transient structurization depending on cellular zinc availability. Therefore, there must be factors hidden in the sequence and structure of ZFs that impact Zn(II)-to-protein affinities to control their function. Using molecular dynamics simulations and experimental spectroscopic and calorimetric approaches, we showed that particular non-conserved residues derived from ZF sequences impact hydrogen bond formation. Our in silico and in vitro studies show that non-conserved residues can alter metal-coupled folding mechanisms and overall ZF stability. Furthermore, we show that Zn(II) binding to ZFs can also be entropically driven. This preference does not correlate either with Zn(II) binding site or with the extent of the secondary structure but is strictly related to a reservoir of interactions within the second coordination shell, which may loosen or tighten up the structure. Our findings shed new light on how the functionality of ZFs is modulated by non-coordinating residues diversity under cellular conditions. Moreover, they can be helpful for systematic backbone alteration of native ZF ββα scaffold to create artificial foldamers and proteins with improved stability.

Sustainable production of genistin from glycerol by constructing and optimizing Escherichia coli

Genistin is one of the bioactive isoflavone glucosides found in legumes, which have great nutraceutical and pharmaceutical significance. The market available isoflavones are currently produced by direct plant extraction. However, its low abundance in plant and structural complexity hinders access to this phytopharmaceutical via plant extraction or chemical synthesis. Here, the E. coli cell factory for sustainable production of genistin from glycerol was constructed. First, we rebuilt the precursor genistein biosynthesis pathway in E. coli, and its titer was then increased by 668% by identifying rate-limiting steps and applying an artificial protein scaffold system. Then de novo production of genistin from glycerol was achieved by functional screening and introduction of glycosyl-transferases, UDP-glucose pathway and specific genistin efflux pumps, and 48.1 mg/L of genistin was obtained. A further engineered E. coli strain equipped with an improved malonyl-CoA pathway, alternative glycerol-utilization pathways, acetyl-CoA carboxylase (ACC), and CRISPR interference (CRISPRi) mediated regulation produced up to 137.8 mg/L of genistin in shake flask cultures. Finally, 202.7 mg/L genistin was achieved through fed-batch fermentation in a 3-L bioreactor. This study represents the de novo genistin production from glycerol for the first time and will lay the foundation for low-cost microbial production of glucoside isoflavones. In addition, the multiphase workflow may provide a reference for engineering the biosynthetic pathways in other microbial hosts as well, for green manufacturing of complex natural products.

Improving the Synthesis Efficiency of Amino Acids Such as L-Lysine by Assembling Artificial Cellulosome Elements Dockerin Protein In Vivo

Cellulosome is a highly efficient multi-enzyme self-assembly system and is found on the extracellular surface or in the free environment of microorganisms. However, with a lack of Ca2+ in vivo, cellulosome assembly is challenging. In this study, a novel design method was used to directionally modify the Ca2+-binding site, and four double-site dockerin A (DocA) mutants were obtained. At a Ca2+ concentration between 1.00 × 10−7 and 1.00 × 10−4 M, the mutant DocA-D3 had the strongest binding capacity to cohesion (Coh), which was 8.01 times that of DocA. The fluorescence signal intensity of the fusion proteins assembled using mutants was up to 1.26 × 107 in Escherichia coli, which indicated that these mutants could interact with Coh in vivo. The molecular dynamics simulation results showed that DocA-D3 could maintain a stable angle structure without Ca2+, and when applied to L-lysine fermentation, the yield was increased by 24.1%; when applied to β-alanine fermentation, the product accumulation was increased by 2.13–2.63 times. These findings lay the foundation for assembly design in cells.