Conformational Changes Research Articles

Effects of anions on the electrospray ionization of proteins in strong acids.

The effect of anions on the positive electrospray ionization (ESI) of proteins in different strong acids with varying pH values from 3 to 1 is studied using high-pressure ESI. Reducing the pH from ∼2 to 1 caused a drastic shift in charge state from a high-charge-state distribution (HCSD) to a narrow low-charge-state distribution (LCSD). The shift in charge state was consistent with the circular dichroism result that showed a conformational change due to the "acid-induced folding" of proteins from an unfolding state to a compact molten globule state. Acids of different anions produced noticeable differences in the average charge for HCSD and LCSD. For HCSD, the average charge was lower than the value typically observed using formic and acetic acids. As for LCSD, the average charge was lower than the "native" charge. The high abundance of acid anion that induces the protein compaction was believed to play a role in charge reduction. The effectiveness of anions to "refold" a highly unfolded protein to a compact state and the propensity to reduce the charge of HCSD for proteins appeared to follow the selectivity series of anions towards the stationary phase in ion chromatography. However, the propensity of anions to reduce the charge for LCSD follows quite an opposite trend. The presence of ammonium salt in the acidic solution was found to increase the charge of LCSD. The simple mass spectrum with a narrow distribution of charge state obtained with perchloric acid at pH 1 was demonstrated to facilitate the counting of basic sites.

Direct detection of the chloride release and uptake reactions of Natronomonas pharaonis halorhodopsin

Membrane transport proteins undergo multistep conformational changes to fulfill the transport of substrates across biological membranes. Substrate release and uptake are the most important events of these multistep reactions that accompany significant conformational changes. Thus, their relevant structural intermediates should be identified to better understand the molecular mechanism. However, their identifications have not been achieved for most transporters due to the difficulty of detecting the intermediates. Herein, we report the success of these identifications for a light-driven chloride transporter halorhodopsin (HR). We compared the time course of two flash-induced signals during a single transport cycle. One is a potential change of Cl--selective membrane, which enabled us to detect tiny Cl--concentration changes due to the Cl- release and the subsequent Cl--uptake reactions by HR. The other is the absorbance change of HR reflecting the sequential formations and decays of structural intermediates. Their comparison revealed not only the intermediates associated with the key reactions but also the presence of two additional Cl--binding sites on the Cl--transport pathways. The subsequent mutation studies identified one of the sites locating the protein surface on the releasing side. Thus, this determination also clarified the Cl--transport pathway from the initial binding site until the release to the medium.

A mechanism – based perspective on the interplay of new drug candidate with biomolecules

This research deals with the synthesis and analysis of a novel Pd(II) compound, [Pd(dach)(SA)], featuring 1,2-diaminocyclohexane (dach) and salicylic acid (SA). The compound's structure was refined and its electronic properties including HOMO-LUMO energies, molecular electrostatic potential and natural bond analysis were calculated using B3LYP functional of DFT. Biologically, the compound demonstrated significant antitumor efficacy against the K562 leukemia cell line (IC50 = 37 μM). In-silico methods predicted the favorable characteristics and low risks of new compound. Interactions with DNA and serum albumin were explored using both experimental and computational techniques, revealing that the compound binds through hydrogen bonds and van der Waals forces having Kb,DNA = 1.7 × 105, ΔG°DNA = - 7.32 kcal/mol, Kb,BSA = 1.25 × 106 and ΔG°BSA = - 8.36 kcal/mol, as indicated by fluorescence spectroscopy. UV–Vis spectroscopy showed a reduction in the absorption spectra of both DNA and BSA upon interaction. DNA binding affinity was confirmed via gel electrophoresis and viscosity measurements. Molecular docking suggested the groove binding with DNA, and site I of BSA, primarily through hydrogen binding. The stability and conformational changes of these interactions over the time were affirmed by molecular dynamics simulations and QM/MM calculations. These comprehensive studies underscore the potential of [Pd(dach)(SA)] complex as a candidate for cancer therapy, highlighting its strong binding interactions with crucial biomolecules.

Force-Free Identification of Minimum-Energy Pathways and Transition States for Stochastic Electronic Structure Theories.

The accurate mapping of potential energy surfaces (PESs) is crucial to our understanding of the numerous physical and chemical processes mediated by atomic rearrangements, such as conformational changes and chemical reactions, and the thermodynamic and kinetic feasibility of these processes. Stochastic electronic structure theories, e.g., Quantum Monte Carlo (QMC) methods, enable highly accurate total energy calculations that in principle can be used to construct the PES. However, their stochastic nature poses a challenge to the computation and use of forces and Hessians, which are typically required in algorithms for minimum-energy pathway (MEP) and transition state (TS) identification, such as the nudged elastic band (NEB) algorithm and its climbing image formulation. Here, we present strategies that utilize the surrogate Hessian line-search method, previously developed for QMC structural optimization, to efficiently identify MEP and TS structures without requiring force calculations at the level of the stochastic electronic structure theory. By modifying the surrogate Hessian algorithm to operate in path-orthogonal subspaces and at saddle points, we show that it is possible to identify MEPs and TSs by using a force-free QMC approach. We demonstrate these strategies via two examples, the inversion of the ammonia (NH3) molecule and the nucleophilic substitution (SN2) reaction F- + CH3F → FCH3 + F-. We validate our results using Density Functional Theory (DFT)- and Coupled Cluster (CCSD, CCSD(T))-based NEB calculations. We then introduce a hybrid DFT-QMC approach to compute thermodynamic and kinetic quantities, free energy differences, rate constants, and equilibrium constants that incorporates stochastically optimized structures and their energies, and show that this scheme improves upon DFT accuracy. Our methods generalize straightforwardly to other systems and other high-accuracy theories that similarly face challenges computing energy gradients, paving the way for highly accurate PES mapping, transition state determination, and thermodynamic and kinetic calculations at significantly reduced computational expense.

Identifying Potent Breast Cancer Inhibitors Against ERα Target Using Pharmacophore Model, 3D‐QSAR and MD Studies

Abstractthe current investigation, 109 known ERα inhibitors have been developed in the current research; pharmacophore modeling, Molecular docking, MM‐GBSA, and MD study have been performed to investigate the binding affinity of 9‐anilinoacridines with heterocyclic substitutes as selective ERα inhibitors for breast carcinoma. Pharmacophore model have been developed by Schrodinger suite 2019–2 phasemodule. To predict binding free energy of the ligands in complex with PDB and post docked energy minimization was performed by Prime, MM‐GB/SA module. The Induced fit docking studies were performed on the ligand modulated dynamic behaviour of the protein molecular dynamics study. A statistical substantial 3D ‐ QSAR design was created using the pharmacophore hypothesis. 109 known ERα inhibitors have been developed with pIC50 values between 4.0 and 6.0 and were used in ligand‐based pharmacophore modelling and 3D‐QSAR analysis. R2 (0.8294), Q2 (0.7~0.8), and F value (83.5) were used to statistically validate the developed five‐point hypothesis DHRRR1 employing a minimum square of four. Molecular dynamics simulations were run to comprehend the conformational changes and ligand stability at the protein active pocket. The predicted 3D‐QSAR model significantly correlated with experimentally reported in‐vitro antitumor activity. These in‐silico discoveries will help in the future search for potent ERα inhibitors with desirable pharmacophoric properties.

Polyphenolic metacyclophane as a radical scavenger for therapeutic activation: a computational study

Modeling antioxidants for improved human health is a prime area of research. Inclusion complexes exhibit antioxidant activity. Supramolecular scaffolds like calixtyrosol are anticipated to have considerable antioxidant and therapeutic activity. In this study, we have designed 30 polyphenolic metacyclophanes and investigated their antioxidant properties. Exceptional O─H bond dissociation energy of 44 kcal/mol is reported for a metacyclophane with acyl urea linkage. This may be explained through a cooperative effect of localization of spin density distribution and an intramolecular hydrogen bonding of the corresponding radical. Further, the pharmacokinetics and toxicity analysis screened eight drug-like candidates. The interaction of the eight screened molecules with the Lysozyme transport protein and SOD protein has been studied using the molecular docking approach. Lastly, the MD simulations are performed to analyze the conformational changes of the transport protein after complexation with the proposed molecules. Comprehensive analyses including density functional studies of physiological parameters, favorable pharmacokinetics, toxicity, molecular docking, and MD simulations affirmed polyphenolic metacyclophane XXI as a radical scavenging and drug-like candidate.

Towards cost-effective side-chain isotope labelling of proteins expressed in human cells.

Side chain isotope labelling is a powerful tool to study protein structure and interactions by NMR spectroscopy. 1H,13C labelling of side-chain methyl groups in a deuterated background allows studying large molecules, while side-chain aromatic groups are highly sensitive to the interaction with ligands, drugs, and other proteins. In E. coli, side chain labelling is performed by substituting amino acids with isotope-labelled precursors. However, proteins that can only be produced in mammalian cells require expensive isotope-labelled amino acids. Here we provide a simple and cost-effective method to label side chains in mammalian cells, which exploits the reversible reaction catalyzed by endogenous transaminases to convert isotope-labelled α-ketoacid precursors. We show by in-cell and in-lysate NMR spectroscopy that replacing an amino acid in the medium with its cognate precursor is sufficient to achieve selective labelling without scrambling, and how this approach allows monitoring conformational changes such as those arising from ligand binding.

Mechanistic Insight Into the Conformational Changes of Cas8 Upon Binding to Different PAM Sequences in the Transposon-Encoded Type I-F CRISPR-Cas System.

The INTEGRATE system is a gene-editing approach that offers advantages over the widely used CRISPR-Cas9 system. It does not introduce double strand breaks in the target DNA but rather integrates the desired DNA sequence directly into it. The first step in the integration process is PAM recognition, which is critical to understanding and optimizing the system. Experimental testing revealed varying integration efficiencies of different PAM mutants, and computational simulations were carried out to gain mechanistic insight into the conformational changes of Cas8 during PAM recognition. Our results showed that the interaction between Arg246 and guanine at position (-1) of the target strand is critical for PAM recognition. We found that unfavorable interactions in the 5'-AC-3' PAM mutant disrupted this interaction and may be responsible for its 0% integration efficiency. Additionally, we discovered that PAM sequences not only initiate the integration process but also regulate it through an allosteric mechanism that connects the N-terminal domain and the helical bundle of Cas8. This allosteric regulation was present in all PAMs tested, even those with lower integration efficiencies, such as 5'-TC-3' and 5'-AC-3'. We identified the Cas8 residues that are involved in this regulation. Our findings provide valuable insights into PAM recognition mechanisms in the INTEGRATE system and can help improve the gene-editing technology.

Adaptability to the environment of protease by secondary structure changes and application to enzyme-selective hydrolysis

The reactions involving enzymes are significantly influenced by various environmental factors. Clarity of how the activity and structure of proteases impact their function is crucial for more efficient application of enzymes as a tool. The impact of temperature, pH, and ionic strength on changes in protease activity, secondary structure, and protein conformation during enzymatic hydrolysis were investigated in this study. The enzymatic activity and secondary structure of acid-base protease were found to undergo significant modifications under different physical conditions, as demonstrated by UV spectrophotometry and FTIR spectroscopy analysis. Specifically, variations in α-helix and β-fold content were observed to correlate with changes in enzyme activity. Molecular simulation analysis revealed that physical conditions have varying effects on the protease, particularly influencing enzyme activity and secondary structure. Evaluation of the proteases indicated alterations in both enzyme activity and structure. This treatment selectively hydrolyzed β-lactoglobulin and reduced sensitization. These findings offer novel perspectives on the functionalities and regulatory mechanisms of proteases, as well as potential industrial applications.

Ultrafast and Coherent Dynamics in a Solvent Switchable “Pink Box” Perylene Diimide Dimer

AbstractPerylene diimide (PDI) dimers and higher aggregates are key components in organic molecular photonics and photovoltaic devices, supporting singlet fission and symmetry breaking charge separation. Detailed understanding of their excited states is thus important. This has proven challenging because interchromophoric coupling is a strong function of dimer architecture. Recently, a macrocyclic PDI dimer was reported in which excitonic coupling could be turned on and off simply by changing the solvent. This presents a useful case where coupling is modified without synthetic changes to tune supramolecular structure. Here we present a detailed study of solvent dependent excited state dynamics in this dimer by means of coherent multidimensional spectroscopy. Spectral analysis resolves the different coupling strengths, which are consistent with solvent dependent changes in dimer conformation. The strongly coupled conformer forms an excimer within 300 fs. The low‐frequency Raman active modes recovered from two‐dimensional electronic spectra reveal frequencies characteristic of exciton coupling. These are assigned to modes modulating the coupling from the corresponding DFT calculations. Further analysis reveals a time dependent frequency during excimer formation. Analysis of two‐dimensional “beatmaps” reveals features in the coupled dimer which are not predicted by the displaced harmonic oscillator model and are assigned to vibronic coupling.

Molecular basis of inhibition of the amino acid transporter B0AT1 (SLC6A19)

The epithelial neutral amino acid transporter B0AT1 (SLC6A19) is the major transporter for the absorption of neutral amino acids in the intestine and their reabsorption in the kidney. Mouse models have demonstrated that lack of B0AT1 can normalize elevated plasma amino acids in rare disorders of amino acid metabolism such as phenylketonuria and urea-cycle disorders, implying a pharmacological approach for their treatment. Here we employ a medicinal chemistry approach to generate B0AT1 inhibitors with IC50-values of 31-90 nM. High-resolution cryo-EM structures of B0AT1 in the presence of two compounds from this series identified an allosteric binding site in the vestibule of the transporter. Mechanistically, binding of these inhibitors prevents a movement of TM1 and TM6 that is required for the transporter to make a conformational change from an outward open state to the occluded state.

Deciphering the impact of F23L mutation on the aggregation propensity of human islet amyloid polypeptide using molecular simulations

The self-aggregation of 37-residue human islet amyloid polypeptide (hIAPP) into β-sheet rich oligomers and amyloid fibrils contributes to the loss of pancreatic β-cell mass in type 2 diabetes (T2D). A previous study highlighted that the F23L mutation in the amyloidogenic core (Ser20–Ser29) of hIAPP slows down its self-aggregation by a factor of 2.6. However, the underlying molecular mechanism behind slower aggregation and reduced cytotoxicity of hIAPP on F23L mutation remains obscure. Thus, the structural and conformational changes in F23L–hIAPP that lead to slower aggregation and lower cytotoxicity were examined by molecular dynamics (MD) simulations. The MD simulations depicted that F23L mutation marginally increases the helical content from 10.20 ± 1.94 to 11.50 ± 2.18 % accompanied by a noteworthy decrease in aggregation-prone β-sheet from 14.00 ± 1.58 to 0.80 ± 0.37 %. Notably, FEL conformations depicted a complete disappearance of β-sheet content in F23L–hIAPP as compared to 9–20 % in wt–hIAPP in agreement with the notably reduced toxicity of F23L–hIAPP aggregates against cultured INS-1 832/13 cells. Interestingly, dihedral principal component analysis (dPCA) depicted noteworthy compression in the conformational sub-space and a lower trace value of hIAPP on F23L mutation, which indicates lower conformational fluctuations in F23L–hIAPP. F23L mutation alters the conformational landscape of hIAPP dimer by lowering interchain contacts, and hydrogen bonds as well as reducing binding affinity between chains A-B of hIAPP dimer. Importantly, MD simulations illuminated the key role of Phe23 in mediating intramolecular interactions leading to aggregation-prone structures that promote hIAPP aggregation. The key insights regarding structural transitions and conformational preferences of hIAPP on F23L mutation illuminated from this work will benefit the design and optimization of potential inhibitors targeting Phe23-mediated interactions to block hIAPP aggregation in T2D.

Intelligent Supramolecular Modification for Implants: Endogenous Regulation of Bone Defect Repair in Osteoporosis.

Addressing osteoporosis-related bone defects, a supramolecular strategy is innovated for modifying carbon fiber reinforced polyether ether ketone (CF/PEEK) composites. By covalently attaching intelligent macromolecules via in situ RAFT polymerization, leveraging the unique pathological microenvironment in patients with iron-overloaded osteoporosis, intelligent supramolecular modified implant surface possesses multiple endogenous modulation capabilities. After implantation, surface brush-like macromolecules initially resist macrophage adhesion, thereby reducing the level of immune inflammation. Over time, the molecular chains undergo conformational changes due to Fe (III) mediated supramolecular self-assembly, transforming into mechanistic signals. These signals are then specifically transmitted to pre-osteoblast cell through the binding capacity of the KRSR short peptide at the molecular terminus, induced their osteogenic differentiation via the YAP/β-catenin signaling axis. Furthermore, osteoblasts secrete alkaline phosphatase (ALP), which significantly hydrolyzes phosphate ester bonds in surface macromolecular side groups, resulting in the release of alendronate (ALN). This process further improves the local osteoporotic microenvironment. This intelligent surface modification tailors bone repair to individual conditions, automatically realize multiple endogenous regulation once implanted, and truly realize spontaneous activation of a series of responses conducive to bone repair in vivo. It is evidenced by improved bone regeneration in iron-overloaded osteoporotic rabbits and supported by in vitro validations.

Novel mechanisms of MITF regulation identified in a mouse suppressor screen

MITF, a basic Helix-Loop-Helix Zipper (bHLHZip) transcription factor, plays vital roles in melanocyte development and functions as an oncogene. We perform a genetic screen for suppressors of the Mitf-associated pigmentation phenotype in mice and identify an intragenic Mitf mutation that terminates MITF at the K316 SUMOylation site, leading to loss of the C-end intrinsically disordered region (IDR). The resulting protein is more nuclear but less stable than wild-type MITF and retains DNA-binding ability. As a dimer, it can translocate wild-type and mutant MITF partners into the nucleus, improving its own stability thus ensuring nuclear MITF supply. smFRET analysis shows interactions between K316 SUMOylation and S409 phosphorylation sites across monomers; these interactions largely explain the observed effects. The recurrent melanoma-associated E318K mutation in MITF, which affects K316 SUMOylation, also alters protein regulation in concert with S409. This suggests that residues K316 and S409 of MITF are impacted by SUMOylation and phosphorylation, respectively, mediating effects on nuclear localization and stability through conformational changes. Our work provides a novel mechanism of genetic suppression, and an example of how apparently deleterious mutations lead to normal phenotypes.

Multiscale Computational Analysis of the Effect of Taxol on Microtubule Mechanics.

Microtubules (MTs) are widely recognized as targets for cancer therapies. They are directly related to unique mechanical properties, closely dependent on MT architecture and tubulin molecular features. Taxol is known to affect tubulin interactions resulting in the stabilization of the MT lattice, and thus the hierarchical organization stability, mechanics, and function. A deeper understanding of the molecular mechanisms through which taxol modulates intertubulin interactions in the MT lattice, and consequently, its stability and mechanical response is crucial to characterize how MT properties are regulated by environmental factors, such as interacting ligands. In this study, a computational analysis of the effect of taxol on the MT was performed at different scales, combining molecular dynamics simulation, dynamical network analysis, and elastic network modeling. The results show that the taxol-induced conformational differences at the M-loop region increase the stability of the lateral interactions and the amount of surface in contact between laterally coupled tubulins. Moreover, the conformational rearrangements in the taxane binding site result in a different structural communication pattern. Finally, the different conformation of the tubulin heterodimers and the stabilized lateral interactions resulted in a tendency toward higher deformation of the vibrating MT in the presence of taxol. Overall, this work provides additional insights into taxol-induced stabilization and relates the conformational changes at the tubulin level to the MT mechanics. Besides providing useful insights into taxol effect on MT mechanics, a methodological framework that could be used to characterize the effects of other MT stabilizing agents is presented.

2′-Deoxyribo-oligonucleotides duplexes and G-quadruplexes structures and thermal stability in 1‑butyl‑1-methylpiperidinium and 1-octyl-3-methylimidazolium bromide ionic liquid solutions

Conformation and thermal stability of duplexes made of various ratio of purine and pyrimidine, but also of two G-quadruplexes, were evaluated in two different ionic liquids, aliphatic 1‑butyl‑1-methylpiperidinium bromide and 1-octyl-3-methylimidazolium bromide with an aromatic moiety, by means of UV-spectroscopy and circular dichroism. It appeared that no conformational change occurred within all structures studied whatever the medium was, only thermal stabilities were affected.

The effect of pH on the structure of Bluetongue virus VP5.

The unenveloped Bluetongue virus capsid comprises several structural layers, the inner two comprising a core, which assembles before addition of the outer proteins, VP2 and VP5. Two symmetric trimers of VP5 fit like pegs into two distinct pits on the core and undergo pH conformational changes in the context of the virus, associated with cell entry. Here we show that in isolation VP5 alone undergoes essentially the same changes with pH and confirm a helical transition, indicating that VP5 is a motor during cell entry. In the absence of VP5 the two pits on the core differ from each other, presumably due to the asymmetric underlying structure of VP3, the innermost capsid protein. On insertion of VP5 these pits become closely similar and remain similar at low pH whilst VP5 is present. This natural asymmetry presumably destabilises the attachment of VP5, facilitating ejection upon low pH, membrane penetration and cell entry.

Predicting protein conformational motions using energetic frustration analysis and AlphaFold2

Proteins perform their biological functions through motion. Although high throughput prediction of the three-dimensional static structures of proteins has proved feasible using deep-learning-based methods, predicting the conformational motions remains a challenge. Purely data-driven machine learning methods encounter difficulty for addressing such motions because available laboratory data on conformational motions are still limited. In this work, we develop a method for generating protein allosteric motions by integrating physical energy landscape information into deep-learning-based methods. We show that local energetic frustration, which represents a quantification of the local features of the energy landscape governing protein allosteric dynamics, can be utilized to empower AlphaFold2 (AF2) to predict protein conformational motions. Starting from ground state static structures, this integrative method generates alternative structures as well as pathways of protein conformational motions, using a progressive enhancement of the energetic frustration features in the input multiple sequence alignment sequences. For a model protein adenylate kinase, we show that the generated conformational motions are consistent with available experimental and molecular dynamics simulation data. Applying the method to another two proteins KaiB and ribose-binding protein, which involve large-amplitude conformational changes, can also successfully generate the alternative conformations. We also show how to extract overall features of the AF2 energy landscape topography, which has been considered by many to be black box. Incorporating physical knowledge into deep-learning-based structure prediction algorithms provides a useful strategy to address the challenges of dynamic structure prediction of allosteric proteins.

Analysis of Structural Changes of pH-Thermo-Responsive Nanoparticles in Polymeric Hydrogels.

The pH- and thermo-responsive behavior of polymeric hydrogels MC-co-MA have been studied in detail using dynamic light scattering DLS, scanning electron microscopy SEM, nuclear magnetic resonance (1H NMR) and rheology to evaluate the conformational changes, swelling-shrinkage, stability, the ability to flow and the diffusion process of nanoparticles at several temperatures. Furthermore, polymeric systems functionalized with acrylic acid MC and acrylamide MA were subjected to a titration process with a calcium chloride CaCl2 solution to analyze its effect on the average particle diameter Dz, polymer structure and the intra- and intermolecular interactions in order to provide a responsive polymer network that can be used as a possible nanocarrier for drug delivery with several benefits. The results confirmed that the structural changes in the sensitive hydrogels are highly dependent on the corresponding critical solution temperature CST of the carboxylic (-COOH) and amide (-CONH2) functional groups and the influence of calcium ions Ca2+ on the formation or breaking of hydrogen bonds, as well as the decrease in electrostatic repulsions generated between the polymer chains contributing to a particle agglomeration phenomenon. The temperature leads to a re-arrangement of the polymer chains, affecting the viscoelastic properties of the hydrogels. In addition, the diffusion coefficients D of nanoparticles were evaluated, showing a closeness among with the morphology, shape, size and temperature, resulting in slower diffusions for larger particles size and, conversely, the diffusion in the medium increasing as the polymer size is reduced. Therefore, the hydrogels exhibited a remarkable response to pH and temperature variations in the environment. During this research, the functionality and behavior of the polymeric nanoparticles were observed under different analysis conditions, which revealed notable structural changes and further demonstrated the nanoparticles promising high potential for drug delivery applications. Hence, these results have sparked significant interest in various scientific, industrial and technological fields.

Mechanisms of the structures and antioxidant activity of broad bean protein affected by AC electric field: changes in conformation and molecular interaction

SummaryThe hierarchical structure modification and antioxidant traits of broad bean protein (BBP) with low denaturation induced by alternating current electric field (ACEF) were examined. The ultraviolet, Fourier transform infrared, and Raman spectrometry showed that ACEF affected the tertiary and secondary structures of BBP, as evidenced by the significant increase in surface hydrophobicity, more β‐turns and random coils, fewer β‐sheets, and the variation of microenvironments of certain amino acid residues. X‐ray diffractometry revealed that ACEF reduced the relative crystallinity and granular size of BBP, increased lattice spacing, caused the weakening of intermolecular forces, and significantly decreased the compactness of spatial conformations in BBP. Furthermore, the antioxidant capacity of BBP increased following ACEF treatment and was influenced by voltage. This may be due to the BBP structure unfolding and the release of aromatic amino acids.