Protein Science最新文献

The B domain of protein A is a biotechnologically important three-helix bundle protein. It binds the Fc fragment of antibodies with helix 1/2 and the Fab region with helix 2/3. Here we designed a helix shuffled variant by changing the connectivity of the helices, in order to redesign the helix bundle, yielding altered helix-loop-helix properties. The new loops that generate the new connectivity were created in several protein libraries, and Fc binding variants were selected for a detailed biochemical characterization. We were able to create variants with Fc binding affinity at the same level as the wild type B but with significantly reduced thermal stability. The NMR structure proved that the overall three-dimensional structure was maintained not only in the helix shuffled variant but also points to some potential local differences to wild-type B, which could be the reason for the reduced thermal stability. Therefore, protein A is an example of an optimized structure being more important for stability than for function. Using the helix shuffled variant as a ligand on an affinity column facilitates a robust and straightforward purification of antibodies, but allows for a milder elution at less extreme pH. Therefore, the helix shuffled variant is a suitable ligand to purify more pH-sensitive antibodies.

The TGF-β family ligand Nodal is an essential regulator of embryonic development, orchestrating key processes such as germ layer specification and body axis formation through activation of SMAD2/3-mediated signaling. Significantly, this activation requires the co-receptor Cripto-1. However, despite their essential roles in embryogenesis, the molecular mechanism through which Cripto-1 enables Nodal to activate the SMAD2/3 pathway has remained elusive. Intriguingly, Cripto-1 also has been shown to antagonize other TGF-β family ligands, raising questions about its diverse functions. To clarify how Cripto-1 modulates TGF-β signaling, we integrated AlphaFold3 modeling, surface plasmon resonance (SPR)-based protein-protein interaction analysis, domain-specific anti-Cripto-1 antibodies, and functional studies in NTERA-2 cells. In contrast to canonical TGF-β signaling, where ligands bridge type I and type II receptors for activation, Nodal, bound to the type II receptor, utilizes Cripto-1 to recruit the type I receptor ALK4, forming a unique ternary complex for SMAD2/3 activation. Our molecular characterization of Cripto-1-mediated Nodal signaling clarifies the unique role of this enigmatic co-receptor and advances our understanding of signaling regulation within the TGF-β family. These insights have potential implications for both developmental biology and cancer research.

The Drosophila intrinsically disordered protein Ultrabithorax (Ubx) undergoes a series of phase transitions, beginning with noncovalent interactions between apparently randomly organized monomers, and evolving over time to form increasingly ordered coacervates. This assembly process ends when specific dityrosine covalent bonds lock the monomers in place, forming macroscale materials. Inspired by this hierarchical, multistep assembly process, we analyzed the impact of protein concentration, assembly time, and subphase composition on the early, noncovalent stages of Ubx assembly, which are extremely sensitive to their environment. We discovered that in low salt buffers, we can generate a new type of Ubx material from early coacervates using 5-fold less protein, and 100-fold less assembly time. Comparison of the new materials with standard Ubx fibers also revealed differences in the extent of wrinkling on the fiber surface. A new image analysis technique based on autocorrelation of scanning electron microscopy (SEM) images was developed to quantify these structural differences. These differences extend to the molecular level: new materials form more dityrosine covalent cross-links per monomer, but without requiring the specific tyrosine residues necessary for crosslinking previously established materials. We conclude that varying the assembly conditions represents a facile and inexpensive process for creating new materials. Most new biopolymers are created by changing the composition of the monomers or the method used to drive assembly. In contrast, in this study we used the same monomers and assembly approach, but altered the assembly time and chemical environment to create a new material with unique properties.

Neurofibromin (NF1), a Ras GTPase-activating protein (GAP), catalyzes Ras-mediated GTP hydrolysis and thereby negatively regulates the Ras/MAPK pathway. NF1 mutations can cause neurofibromatosis type 1 manifesting tumors, and neurodevelopmental disorders. Exactly how the missense mutations in the GAP-related domain of NF1 (NF1^GRD) allosterically impact NF1 GAP to promote these distinct pathologies is unclear. Especially tantalizing is the question of how same-domain, same-residue NF1^GRD variants exhibit distinct clinical phenotypes. Guided by clinical data, we take up this dilemma. We sampled the conformational ensembles of NF1^GRD in complex with GTP-bound K-Ras4B by performing molecular dynamics simulations. Our results show that mutations in NF1^GRD retain the active conformation of K-Ras4B but with biased propensities of the catalytically competent populations of K-Ras4B-NF1^GRD complex. In agreement with clinical depiction and experimental tagging, compared to the wild type, NF1^GRD E1356A and E1356V mutants effectively act through loss-of-function and gain-of-function mechanisms, leading to neurofibromatosis and developmental disorders, respectively. Allosteric modulation of NF1^GRD GAP activity through biasing the conformational ensembles in the different states is further demonstrated by the diminished GAP activity by NF1^GRD isoform 2, further manifesting propensities of conformational ensembles as powerful predictors of protein function. Taken together, our work identifies a NF1^GRD hotspot that could allosterically tune GAP function, suggests targeting Ras oncogenic mutations by restoring NF1 catalytic activity, and offers a molecular mechanism for NF1 phenotypes determined by their distinct conformational propensities.

Purifying membrane proteins has been the limiting step for studying their structure and function. The challenges of the process include the low expression levels in heterologous systems and the requirement for their biochemical stabilization in solution. The human voltage-gated proton channel (hH_v1) is a good example of that: the published protocols to express and purify hH_v1 produce low protein quantities at high costs, which is an issue for systematically characterizing its structure and function. Based on a pipeline approach, we developed a novel method to produce large quantities of properly folded and fully functional hH_v1. We found that using the correct Escherichia coli strain in an autoinduction medium at low temperatures maximized protein expression. Furthermore, solubilization screenings showed that the detergent Anzergent 3-12 was a better alternative than Fos-choline-12 to purify hH_v1, considerably reducing the costs. Buffers with high ionic strength increased the protein extracted during detergent solubilization and the stability of hH_v1 during downstream processing. Finally, a further improvement was achieved when an enterokinase cutting site was inserted at the N-terminus of the protein. Our novel method produces properly folded and fully functional hH_v1, increasing the protein yield by 100 times and reducing the cost by 96% while improving the protein stability compared to the previously published protocols. Our work will accelerate studies on hH_v1 and its possible future therapeutic use, while serving as an example for developing purification methodologies for other challenging membrane proteins.

Engineered monoclonal antibodies have proven to be highly effective therapeutics in recent viral outbreaks. However, despite technical advancements, an ability to rapidly adapt or increase antibody affinity and by extension, therapeutic efficacy, has yet to be fully realized. We endeavored to stand-up such a pipeline using molecular modeling combined with experimental library screening to increase the affinity of F5, a monoclonal antibody with potent neutralizing activity against Venezuelan Equine Encephalitis Virus (VEEV), to recombinant VEEV (IAB) E1E2 antigen. We modeled the F5/E1E2 binding interface and generated predictions for mutations to improve binding using a Rosetta-based approach and dTERMen, an informatics approach. The modeling was complicated by the fact that a high-resolution structure of F5 is not available and the H3 loop of F5 exceeds the length for which current modeling approaches can determine a unique structure. A subset of the predicted mutations from both methods were incorporated into a phage display library of scFvs. This library and a library generated by error-prone PCR were screened for binding affinity to the recombinant antigen. Results from the screens identified favorable mutations which were incorporated into 12 human-IgG1 variants. The best variant, containing eight mutations, improved KD from 0.63 nM (parental) to 0.01 nM. While this did not improve neutralization or therapeutic potency of F5 against IAB, it did increase cross-reactivity to other closely related VEEV epizootic and enzootic strains, demonstrating the potential of this method to rapidly adapt existing therapeutics to emerging viral strains.

Transition metals (e.g., Fe^2/3+, Zn²⁺, Mn²⁺) are essential enzymatic cofactors in all organisms. Their environmental scarcity led to the evolution of high-affinity uptake systems. Our research focuses on two bacterial manganese ABC importers, Streptococcus pneumoniae PsaBC and Bacillus anthracis MntBC, both critical for virulence. Both importers share a similar homodimeric structure, where each protomer comprises a transmembrane domain (TMD) linked to a cytoplasmic nucleotide-binding domain (NBD). Due to their size and slow turnover rates, the utility of conventional molecular simulation approaches to reveal functional dynamics is limited. Thus, we employed a novel, computationally efficient method integrating Gaussian Network Models (GNM) with information theory Transfer Entropy (TE) calculations. Our calculations are in remarkable agreement with previous functional studies. Furthermore, based on the calculations, we generated 10 point-mutations and experimentally tested their effects, finding excellent concordance between computational predictions and experimental results. We identified "allosteric hotspots" in both transporters, in the transmembrane translocation pathway, at the coupling helices linking the TMDs and NBDs, and in the ATP binding sites. In both PsaBC and MntBC, we observed bi-directional information flow between the two TMDs, with minimal allosteric transmission to the NBDs. Conversely, the NBDs exhibited almost no NBD-NBD allosteric crosstalk but showed pronounced information flow from the NBD of one protomer towards the TMD of the other protomer. This unique allosteric "footprint" distinguishes ABC importers of transition metals from other members of the ABC transporter superfamily establishing them as a distinct functional class. This study offers the first comprehensive insight into the conformational dynamics of these vital virulence determinants, providing potential avenues for developing urgently needed novel antibacterial agents.

PADI4 is one of the human isoforms of a family of enzymes involved in the conversion of arginine to citrulline. MDM2 is an E3 ubiquitin ligase that is critical for degradation of the tumor suppressor gene p53. We have previously shown that there is an interaction between MDM2 and PADI4 in cellulo, and that such interaction occurs through the N-terminal region of MDM2, N-MDM2, and in particular through residues Thr26, Val28, Phe91, and Lys98. Here, by using a "divide-and-conquer" approach, we have designed and synthesized peptides comprising these two polypeptide stretches (residues Ala21-Lys36, and Lys94-Val108), either in the wild-type species or in their citrullinated versions. Some of the citrullinated peptides were aggregation-prone, as suggested by DOSY-NMR experiments, but the wild-type versions of both fragments were monomeric in solution. We found out that wild-type and modified peptides were disordered in all cases, as also tested by far-UV circular dichroism (CD), and citrullination mainly affected the NMR chemical shifts of adjacent residues. Isothermal titration calorimetry (ITC) in the absence and presence of GSK484, an enzymatic PADI4 inhibitor, indicated that this compound blocked binding of the peptides to the enzyme. Binding to the active site of the N-MDM2 fragments was also confirmed by in silico experiments. The affinities of PADI4 for the wild-type peptides were more favorable than those of the corresponding citrullinated ones, but all measured values were within the micromolar range, indicating that there were no major variations in the thermodynamics of binding due to sequence effects. The kinetic dissociation rates, k_off, measured by biolayer interferometry (BLI), were always one-order of magnitude faster for the citrullinated peptides than for the wild-type ones. Taken together, all these findings indicate that MDM2 is a substrate for PADI4 and is prone to citrullination in the identified (and specific) positions of its N-terminal region.

Dengue fever is a serious health issue, particularly in tropical countries like Singapore. We have previously found that dengue virus (DENV) recruits human plasmin in blood meal to enhance the permeability of the mosquito midgut for infection. Here, using biolayer interferometry, we found that neither kringle-4 nor kringle-5 plasmin domains alone binds well to dengue virus. However, the domains together lead to a synergistic effect, with both kringle-4 and -5 domains required and sufficient for binding. Site-directed mutagenesis experiments showed that the N-terminal and C-terminal aspartic acid residues in the "DXD" acidic motifs of the kringle-4 and -5 domains likely have different roles when engaged with DENV. Hydrogen deuterium exchange mass spectrometry experiments on the plasmin:DENV complex led to the identification of two Lys-containing regions on domain I of the E-protein of DENV that are buried by plasmin and could be potential plasmin binding sites. These findings contradict with published literature that domain III of the DENV E-protein interacts with the kringle-1-3 domains of plasmin. We provide a plausible explanation for the observed discrepancies.

Proteins' flexibility is a feature in communicating changes in cell signaling instigated by binding with secondary messengers, such as calcium ions, associated with the coordination of muscle contraction, neurotransmitter release, and gene expression. When binding with the disordered parts of a protein, calcium ions must balance their charge states with the shape of calcium-binding proteins and their versatile pool of partners depending on the circumstances they transmit. Accurately determining the ionic charges of those ions is essential for understanding their role in such processes. However, it is unclear whether the limited experimental data available can be effectively used to train models to accurately predict the charges of calcium-binding protein variants. Here, we developed a chemistry-informed, machine-learning algorithm that implements a game theoretic approach to explain the output of a machine-learning model without the prerequisite of an excessively large database for high-performance prediction of atomic charges. We used the ab initio electronic structure data representing calcium ions and the structures of the disordered segments of calcium-binding peptides with surrounding water molecules to train several explainable models. Network theory was used to extract the topological features of atomic interactions in the structurally complex data dictated by the coordination chemistry of a calcium ion, a potent indicator of its charge state in protein. Our design created a computational tool of Ca^XML, which provided a framework of explainable machine learning model to annotate ionic charges of calcium ions in calcium-binding proteins in response to the chemical changes in an environment. Our framework will provide new insights into protein design for engineering functionality based on the limited size of scientific data in a genome space.