Protein Chain Research Articles

Predicting Cancerous Genes through an In-Silico Approach

Abstract: In Sequence alignment, the chains of DNA, RNA, or protein are aligned and compared to recognize homogeneous portions which could be the result of functional, organizational, or evolutionary connections between the chains. This process gives similar sequences as its result. Similar sequences often have the same biological function. This knowledge can be used to draw further conclusions that we can ascertain the function of a query DNA sequence by comparing it with a target sequence performing a known function. In this article, we use this idea to develop an Advanced Java-based web application where the user interface allows the user to enter an unknown DNA sequence. Using pattern-matching algorithms, the application can calculate how similar the sequence is with genes stored in a database. Based on the result, a trained medical practitioner will be able to determine whether the unknown gene can be cancerous

Diffusive Dynamic Modes of Recombinant Squid Ring Teeth Proteins by Neutron Spectroscopy.

Stimuli-responsive structural proteins are emerging as promising biocompatible materials for a wide range of biological and nonbiological applications. To understand the physical properties of structural proteins and to replicate their performance in biosynthetic systems, there is a need to understand the molecular mechanisms and relationships that regulate their structure, dynamics, and properties. Here, we study the dynamics of a recombinant squid-inspired protein from Loligo vulgaris (Lv18) by elastic and quasielastic neutron scattering (QENS) to understand the connection between nanostructure, chain dynamics, and mechanical properties. Lv18 is a semicrystalline structural protein, which is plasticized by water above its glass transition temperature at 35 °C. Elastic scans revealed an increased protein chain mobility upon hydration, superimposed dynamic processes, and a decrease in dynamic transition temperatures. Further analysis by QENS revealed that while dry Lv18 protein dynamics are dominated by localized methyl group rotations, hydrated Lv18 dynamics are dominated by the confined diffusion of flexible chains within a β-sheet nanocrystalline network (8 Å of confinement radius). Our findings establish a relationship between the segment block architecture of Lv18, the diffusive motions within the protein structure, and the mechanical properties of recombinant squid proteins, which will advance the molecular design of novel high-performance protein-inspired materials with tailored dynamics and mechanical properties.

Controlling scaffold conductivity and pore size to direct myogenic cell alignment and differentiation.

Skeletal muscle's combination of three‐dimensional (3D) anisotropy and electrical excitability is critical for enabling normal movement. We previously developed a 3D aligned collagen scaffold incorporating conductive polypyrrole (PPy) particles to recapitulate these key muscle properties and showed that the scaffold facilitated enhanced myotube maturation compared with nonconductive controls. To further optimize this scaffold design, this work assessed the influence of conductive polymer incorporation and scaffold pore architecture on myogenic cell behavior. Conductive PPy and poly(3,4‐ethylenedioxythiophene) (PEDOT) particles were synthesized and mixed into a suspension of type I collagen and chondroitin sulfate prior to directional freeze‐drying to produce anisotropic scaffolds. Energy dispersive spectroscopy revealed homogenous distribution of conductive PEDOT particles throughout the scaffolds that resulted in a threefold increase in electrical conductivity while supporting similar myoblast metabolic activity compared to nonconductive scaffolds. Control of freezing temperature enabled fabrication of PEDOT‐doped scaffolds with a range of pore diameters from 98 to 238 μm. Myoblasts conformed to the anisotropic contact guidance cues independent of pore size to display longitudinal cytoskeletal alignment. The increased specific surface area of the smaller pore scaffolds helped rescue the initial decrease in myoblast metabolic activity observed in larger pore conductive scaffolds while also promoting modestly increased expression levels of the myogenic marker myosin heavy chain (MHC) and gene expression of myoblast determination protein (MyoD). However, cell infiltration to the center of the scaffolds was marginally reduced compared with larger pore variants. Together these data underscore the potential of aligned and PEDOT‐doped collagen scaffolds for promoting myogenic cell organization and differentiation.

Fast dynamics shape the function of the AAA+ machine ClpB: lessons from single-molecule FRET spectroscopy.

It has been recently shown that in some proteins, tertiary-structure dynamics occur surprisingly fast, that is on the microsecond or sub-millisecond time scales. In this State of the Art Review, we discuss how such ultrafast domain motions relate to the function of caseinolytic peptidase B (ClpB), a AAA+ disaggregation machine. ClpB is a large hexameric protein that collaborates with cellular chaperone machinery to rescue protein chains from aggregates. We used single-molecule FRET spectroscopy to capture the dynamics of essential structural elements within this machine. It was found that the middle domain of ClpB, known to act as its activator, toggles between two states much faster than the overall activity cycle of the protein, suggesting a novel mode of continuous, tunable switching. Motions of the N-terminal domain were observed to restrict the conformational space of the M domain in the absence of a substrate protein, thereby preventing it from tilting and spuriously activating ClpB. Finally, microsecond dynamics of pore loops responsible for substrate pulling through ClpB's central channel, together with their response to specific perturbations, point to a Brownian-ratchet mechanism for protein translocation. Based on our findings, we propose a two-time-scale model for the activity of ClpB, in which fast conformational dynamics affect slower functional steps, determined by ATP hydrolysis time. Future work on this and other proteins is likely to shed further light on the role of ultrafast dynamics on protein function.

GalaxyWater-CNN: Prediction of Water Positions on the Protein Structure by a 3D-Convolutional Neural Network.

Proteins interact with numerous water molecules to perform their physiological functions in biological organisms. Most water molecules act as solvent media; hence, their roles may be considered implicitly in theoretical treatments of protein structure and function. However, some water molecules interact intimately with proteins and require explicit treatment to understand their effects. Most physics-based computational methods are limited in their ability to accurately locate water molecules on protein surfaces because of inaccurate energy functions. Instead of relying on an energy function, this study attempts to learn the locations of water molecules from structural data. GalaxyWater-convolutional neural network (CNN) predicts water positions on protein chains, protein-protein interfaces, and protein-compound binding sites using a 3D-CNN model that is trained to generate a water score map on a given protein structure. The training data are compiled from high-resolution protein crystal structures resolved together with water molecules. GalaxyWater-CNN shows improved water prediction performance both in the coverage of crystal water molecules and in the accuracy of the predicted water positions when compared with previous energy-based methods. This method shows a superior performance in predicting water molecules that form hydrogen-bond networks precisely. The web service and the source code of this water prediction method are freely available at https://galaxy.seoklab.org/gwcnn and https://github.com/seoklab/GalaxyWater-CNN, respectively.

Nonenzymatic glycosylation of isolated human immunoglobulin-G by D-ribose.

Glycation is vital in terms of its damaging effect on macromolecules resulting in the formation of end products, which are highly reactive and cross-linked irreversible structures, known as advanced glycation end products (AGEs). The continuous accumulation of AGEs is associated with severe diabetes and its associated ailments. Saccharides with their reducing ends can glycate amino acid side chains of proteins, among them glucose is well-known for its potent glycating capability. However, other reducing sugars can be more reactive glycating agents than glucose. The D-ribose is a pentose sugar-containing an active aldehyde group in its open form and is responsible for affecting the biological processes of the cellular system. D-ribose, a key component of many biological molecules, is more reactive than most reducing sugars. Protein glycation by reducing monosaccharides such as D-ribose promotes the accelerated formation of AGEs that could lead to cellular impairments and dysfunctions. Also, under a physiological cellular state, the bioavailability rate of D-ribose is much higher than that of glucose in diabetes, which makes this species much more active in protein glycation as compared with D-glucose. Due to the abnormal level of D-ribose in the biological system, the glycation of proteins with D-ribose needs to be analyzed and addressed carefully. In the present study, human immunoglobulin G (IgG) was isolated and purified via affinity column chromatography. D-ribose at 10and 100 mM concentrations was used as glycating agent, for 1-12 days of incubation at 37°C. The postglycation changes in IgG molecule were characterized by UV-visible and fluorescence spectroscopy, nitroblue tetrazolium assay, and various other physicochemical analyses for the confirmation of D-ribose mediated IgG glycation.

Understanding the complex rheology of human blood plasma

Blood plasma (BP) is a borderline non-Newtonian fluid. Few studies have characterized the rheology of BP and even less focused on understanding its subtle viscoelastic traits, which were only somewhat recently acknowledged. We use passive microrheology to measure the bulk response of human plasma samples under shear at body and ambient temperatures. Evidence of subdiffusive behavior in the mean-squared displacement is observed at the highest frequencies probed, which we attribute to the stress relaxation of protein molecules or chains. Jeffreys-like complex shear moduli were computed thereof. The microenvironments of albumin, fibrinogen, and gamma-globulin solutions (key plasma proteins) were probed as well. Single proteins in an aqueous buffer showed no signs of viscoelasticity within experimental resolution. Conversely, mixed together, they appear to promote the same kind of short-term elastic behavior seen in plasma. All in all, a fresh look at the shear rheology of BP is presented.

In Vitro Demonstration of Human Lipoyl Synthase Catalytic Activity in the Presence of NFU1.

Lipoyl synthase (LS) catalyzes the last step in the biosynthesis of the lipoyl cofactor, which is the attachment of sulfur atoms at C6 and C8 of an n-octanoyllysyl side chain of a lipoyl carrier protein (LCP). The protein is a member of the radical S-adenosylmethionine (SAM) superfamily of enzymes, which use SAM as a precursor to a 5′-deoxyadenosyl 5′-radical (5′-dA·). The role of the 5′-dA· in the LS reaction is to abstract hydrogen atoms from C6 and C8 of the octanoyl moiety of the substrate to initiate subsequent sulfur attachment. All radical SAM enzymes have at least one [4Fe–4S] cluster that is used in the reductive cleavage of SAM to generate the 5′-dA·; however, LSs contain an additional auxiliary [4Fe–4S] cluster from which sulfur atoms are extracted during turnover, leading to degradation of the cluster. Therefore, these enzymes catalyze only 1 turnover in the absence of a system that restores the auxiliary cluster. In Escherichia coli, the auxiliary cluster of LS can be regenerated by the iron–sulfur (Fe–S) cluster carrier protein NfuA as fast as catalysis takes place, and less efficiently by IscU. NFU1 is the human ortholog of E. coli NfuA and has been shown to interact directly with human LS (i.e., LIAS) in yeast two-hybrid analyses. Herein, we show that NFU1 and LIAS form a tight complex in vitro and that NFU1 can efficiently restore the auxiliary cluster of LIAS during turnover. We also show that BOLA3, previously identified as being critical in the biosynthesis of the lipoyl cofactor in humans and Saccharomyces cerevisiae, has no direct effect on Fe–S cluster transfer from NFU1 or GLRX5 to LIAS. Further, we show that ISCA1 and ISCA2 can enhance LIAS turnover, but only slightly.

Effect of low-frequency high-intensity ultrasound (HIU) on the physicochemical properties of chickpea protein

The aim of this study was to improve the functional properties of chickpea protein for its potential application in the food industry. The effects of low frequency high intensity ultrasound (HIU) at different power (0–300 W) and time (15–30 min) on the rheological properties, gelation, thermal stability, solubility and microstructure of chickpea protein were tested and analyzed. Based on the analysis, it was found that HIU caused the disruption of non-covalent bonds between protein chains leading to the unfolding of chickpea. The HIU-treated chickpea isolate protein aggregates were smaller and more uniformly dispersed, with increased orderly structure, thermal stability, and exposure of hydrophobic and charged groups originally buried in the interior. The experimental results also showed that the effect of HIU did not become more pronounced with increasing power and time, as the power exceeding 150 W for 30 min led to the formation of new polymers by the interactions between the exposed non-covalent groups, which were more ordered and homogeneous than those without HIU.

How can processing technologies boost the application of faba bean (Vicia faba L.) proteins in food production?

AbstractFaba bean (Vicia faba L.) has attracted increasing interest as a high source of proteins for human nutrition. However, the application of faba bean proteins is still limited due to their low functional properties. Several processing technologies were used to enhance these features starting with the selection of the appropriate pretreatments to favorize protein extractability and to ensure their safety by removing/degrading the antinutritional factors; extraction methods (dry fractionation or wet extraction) and posttreatments to produce multifunctional protein ingredients. In this frame, this review aims to provide a better understanding of the production chain of faba proteins and discuss the impact of processing on protein characteristics based on a recent critical compilation of scientific literature. The different processing applied to faba proteins impacted different degrees of nutritional, functional, sensory, and biological properties. Depending on the final food product, a combination of technologies can be designed to meet specific properties. It must be kept in mind that besides quality, price, sustainability, and scaling up feasibility are relevant factors to consider in the selection of processing.

Brain proteome profiling implicates the complement and coagulation cascade in multiple system atrophy brain pathology.

BackgroundMultiple system atrophy (MSA) is a rare, progressive, neurodegenerative disorder presenting glia pathology. Still, disease etiology and pathophysiology are unknown, but neuro-inflammation and vascular disruption may be contributing factors to the disease progression. Here, we performed an ex vivo deep proteome profiling of the prefrontal cortex of MSA patients to reveal disease-relevant molecular neuropathological processes. Observations were validated in plasma and cerebrospinal fluid (CSF) of novel cross-sectional patient cohorts.MethodsBrains from 45 MSA patients and 30 normal controls (CTRLs) were included. Brain samples were homogenized and trypsinized for peptide formation and analyzed by high-performance liquid chromatography tandem mass spectrometry (LC–MS/MS). Results were supplemented by western blotting, immuno-capture, tissue clearing and 3D imaging, immunohistochemistry and immunofluorescence. Subsequent measurements of glial fibrillary acid protein (GFAP) and neuro-filament light chain (NFL) levels were performed by immunoblotting in plasma of 20 MSA patients and 20 CTRLs. Finally, we performed a proteome profiling of 144 CSF samples from MSA and CTRLs, as well as other parkinsonian disorders. Data were analyzed using relevant parametric and non-parametric two-sample tests or linear regression tests followed by post hoc tests corrected for multiple testing. Additionally, high-throughput bioinformatic analyses were applied.ResultsWe quantified more than 4,000 proteins across samples and identified 49 differentially expressed proteins with significantly different abundances in MSA patients compared with CTRLs. Pathway analyses showed enrichment of processes related to fibrinolysis and complement cascade activation. Increased fibrinogen subunit β (FGB) protein levels were further verified, and we identified an enriched recognition of FGB by IgGs as well as intra-parenchymal accumulation around blood vessels. We corroborated blood–brain barrier leakage by a significant increase in GFAP and NFL plasma levels in MSA patients that correlated to disease severity and/or duration. Proteome profiling of CSF samples acquired during the disease course, confirmed increased total fibrinogen levels and immune-related components in the soluble fraction of MSA patients. This was also true for the other atypical parkinsonian disorders, dementia with Lewy bodies and progressive supra-nuclear palsy, but not for Parkinson’s disease patients.ConclusionOur results implicate activation of the fibrinolytic cascade and immune system in the brain as contributing factors in MSA associated with a more severe disease course.Supplementary InformationThe online version contains supplementary material available at 10.1007/s00018-022-04378-z.

Co-component signal transduction systems: Fast-evolving virulence regulation cassettes discovered in enteric bacteria

Bacterial signal transduction systems sense changes in the environment and transmit these signals to control cellular responses. The simplest one-component signal transduction systems include an input sensor domain and an output response domain encoded in a single protein chain. Alternatively, two-component signal transduction systems transmit signals by phosphorelay between input and output domains from separate proteins. The membrane-tethered periplasmic bile acid sensor that activates the Vibrio parahaemolyticus type III secretion system adopts an obligate heterodimer of two proteins encoded by partially overlapping VtrA and VtrC genes. This co-component signal transduction system binds bile acid using a lipocalin-like domain in VtrC and transmits the signal through the membrane to a cytoplasmic DNA-binding transcription factor in VtrA. Using the domain and operon organization of VtrA/VtrC, we identify a fast-evolving superfamily of co-component systems in enteric bacteria. Accurate machine learning–based fold predictions for the candidate co-components support their homology in the twilight zone of rapidly evolving sequences and provide mechanistic hypotheses about previously unrecognized lipid-sensing functions.

Designing of disruptor molecules to restrain the protein-protein interaction network of VANG1/SCRIB/NOS1AP using fragment-based drug discovery techniques.

Governing protein-protein interaction networks are the cynosure of cell signaling and oncogenic networks. Multifarious processes when aligned with one another can result in a dysregulated output which can result in cancer progression. In the current research, one such network of proteins comprising VANG1/SCRIB/NOS1AP, which is responsible for cell migration, is targeted. The proteins are modeled using in-silico approaches, and the interaction is visualized utilizing protein-protein docking. Designing drugs for the convoluted protein network can serve as a challenging task that can be overcome by fragment-based drug designing, a recent game-changer in the computational drug discovery strategy for protein interaction networks. The model is exposed to the extraction of hotspots, also known as the restrained regions for small molecular hits. The hotspot regions are subjected to a library of generated fragments, which are then recombined and rejoined to develop small molecular disruptors of the macromolecular assemblage. Rapid screening methods using pharmacokinetic tools and 2D interaction studies resulted in four molecules that could serve the purpose of a disruptor. The final validation is executed by long-range simulations of 100ns and exploring the stability of the complex using several parameters leading to the emergence of two novel molecules VNS003 and VNS005 that could be used as the disruptors of the protein assembly VANG1/SCRIB/NOS1AP. Also, the molecules were explored as single protein targets approbated via molecular docking and 100ns molecular dynamics simulation. This concluded VNS003 as the most suitable inhibitor module capable of acting as a disruptor of a macromolecular assembly as well as acting on individual protein chains, thus leading to the primary hindrance in the formation of the protein interaction complex.

Tuning the Properties of Protein-Based Polymers Using High-Performance Orthogonal Translation Systems for the Incorporation of Aromatic Non-Canonical Amino Acids.

The incorporation of non-canonical amino acids (ncAAs) using engineered aminoacyl-tRNA synthetases (aaRSs) has emerged as a powerful methodology to expand the chemical repertoire of proteins. However, the low efficiencies of typical aaRS variants limit the incorporation of ncAAs to only one or a few sites within a protein chain, hindering the design of protein-based polymers (PBPs) in which multi-site ncAA incorporation can be used to impart new properties and functions. Here, we determined the substrate specificities of 11 recently developed high-performance aaRS variants and identified those that enable an efficient multi-site incorporation of 15 different aromatic ncAAs. We used these aaRS variants to produce libraries of two temperature-responsive PBPs—elastin- and resilin-like polypeptides (ELPs and RLPs, respectively)—that bear multiple instances of each ncAA. We show that incorporating such aromatic ncAAs into the protein structure of ELPs and RLPs can affect their temperature responsiveness, secondary structure, and self-assembly propensity, yielding new and diverse families of ELPs and RLPs, each from a single DNA template. Finally, using a molecular model, we demonstrate that the temperature-responsive behavior of RLPs is strongly affected by both the hydrophobicity and the size of the unnatural aromatic side-chain. The ability to efficiently incorporate multiple instances of diverse ncAAs alongside the 20 natural amino acids can help to elucidate the effect of ncAA incorporation on these and many other PBPs, with the aim of designing additional precise and chemically diverse polymers with new or improved properties.

Plasma glial fibrillary acidic protein and neurofilament light chain in relation to disability worsening in multiple sclerosis

Background: Predicting disability worsening in multiple sclerosis (MS) remains an important challenge. Glial fibrillary acidic protein (GFAP) and neurofilament light chain (NfL) seem promising biomarkers. Studies investigating blood GFAP in relation to longitudinal outcome measures in MS are scarce. Objective: To compare plasma-GFAP (p-GFAP) and plasma-NfL (p-NfL) levels in relation to sustained disability worsening. Methods: We measured baseline p-GFAP and p-NfL in a prospective cohort of 115 individuals with MS and 30 matched controls, using Single Molecule Array (Simoa). Disability worsening was defined as an increase in at least one of three measures (Expanded Disability Status Scale, Timed 25-foot walk, 9-Hole Peg test), confirmed after 6 months and persistent upon data closure. Results: In a multivariable Cox proportional-hazards model, p-GFAP was not significantly associated with sustained disability worsening after 4.40 ± 0.82 years, while p-NfL (HR = 1.046, p = 0.001), EDSS (HR = 1.24, p = 0.039), and disease duration (HR = 1.048, p = 0.017) were. Area under the curve of ROC curves in relation to worsening was 0.61 for p-GFAP (p = 0.031) and 0.63 for p-NfL (p = 0.015). Kaplan–Meier curves showed similar patterns for both proteins. Conclusion: p-NfL emerged as a significant explanatory variable for worsening in Cox regression analysis, and p-GFAP did not. Both p-GFAP and p-NfL were related to worsening based on ROC curves.

Effect of trans-ligand on properties of nitric oxide motif in nitrosylcobinamide

Nitrosylcobinamide (NOCbi) is a tight complex between Co(II)-form of cobinamide, a nucleotide-free analog of cobalamin (vitamin B12), and nitric oxide (NO). Here, we report that NOCbi exhibits high resistance toward aerobic oxidation in comparison with nitrosylcobalamin. NOCbi slowly degrades in the presence of hydrogen peroxide and undergoes a more rapid oxidation by H2O2/peroxidase (viz. horseradish or lactoperoxidase) mixture to nitrocobinamide. Aerobic oxidation of NOCbi is accelerated by addition of ligands (i.e., imidazole, cyanide, and others). The mechanism of NOCbi oxidation in the presence of these ligands can be represented by two parallel routes: the axial ligand binding on NOCbi (i) results in the elongation of Co(II)-NO bond, leading to acceleration of NO-dissociation and further NO reaction with O2 to give NO2, and Cbi(II) oxidation by NO2, and (ii) facilitates reaction of the NO-motif with O2 to give peroxynitrite intermediate decomposing to nitrite and dioxygen. Decrease in aerobic stability of NOCbi may occur in vivo upon reaction with side chains of extracellular proteins, that was indicated using bovine serum albumin.

Regulation of cortisol production during chronic social stress in rainbow trout

Chronic stress resulting from social interactions impacts the endocrine stress response in many vertebrates, including teleost fishes. Juvenile rainbow trout held in pairs form a dominance hierarchy with the subordinate individual exhibiting chronic elevation of plasma cortisol and an attenuated cortisol response to an additional acute stressor. The current study investigated the mechanisms underlying this apparent dichotomy in cortisol production at the level of the head kidney (adrenal homolog). Following four days of chronic social stress, subordinate rainbow trout exhibited elevated plasma cortisol levels that correlated with basal cortisol production by the head kidney in vitro. Subordinate trout had higher transcript abundances of steroidogenic acute regulatory protein and cytochrome p450 side chain cleavage enzyme, which facilitate key steps in steroidogenesis, as well as two paralogs of steroidogenic factor 1. Despite elevation of basal steroidogenesis, acute cortisol production in response to ACTH (in vivo and in vitro) was lower in subordinate trout. Transcript abundances of the ACTH receptor accessory proteins were elevated in subordinate fish, but head kidney cortisol production in response to a cAMP analogue was lower than in dominant fish. Together, the data suggest that the attenuated acute cortisol response of subordinate trout reflects limitations on cortisol production downstream of cAMP signalling in steroidogenic cells of the head kidney, despite the increased basal abundance of key components of the steroidogenic pathway.

Inter-Residue Distance Prediction From Duet Deep Learning Models.

Residue distance prediction from the sequence is critical for many biological applications such as protein structure reconstruction, protein–protein interaction prediction, and protein design. However, prediction of fine-grained distances between residues with long sequence separations still remains challenging. In this study, we propose DuetDis, a method based on duet feature sets and deep residual network with squeeze-and-excitation (SE), for protein inter-residue distance prediction. DuetDis embraces the ability to learn and fuse features directly or indirectly extracted from the whole-genome/metagenomic databases and, therefore, minimize the information loss through ensembling models trained on different feature sets. We evaluate DuetDis and 11 widely used peer methods on a large-scale test set (610 proteins chains). The experimental results suggest that 1) prediction results from different feature sets show obvious differences; 2) ensembling different feature sets can improve the prediction performance; 3) high-quality multiple sequence alignment (MSA) used for both training and testing can greatly improve the prediction performance; and 4) DuetDis is more accurate than peer methods for the overall prediction, more reliable in terms of model prediction score, and more robust against shallow multiple sequence alignment (MSA).

Effects of the tea polyphenol content on the properties and structural characteristics of simulated meat

To expand the application of tea-enriching food, tea polyphenols (TP) were added at 0%, 2%, 4%, 6% and 8% to prepare simulated meat, and the apparent properties and structural characteristics of TP-simulated meat were studied. When the TP content was less than 2%, TP bound to the binding site of hydrogen bonding (U) on the protein molecular chain, which reduced the U of simulated meat and resulted in a decrease in the hardness of TP-simulated meat. When the TP content was greater than 2%, the binding of TP and U on the protein chain tended to be saturated, and U was generated on the new TP-protein chain, resulting in an increase in the hardness of TP-simulated meat. Additionally, with increasing TP content, the hydrophobic interaction of simulated meat was enhanced, and the content of random coils in the secondary structure was decreased, resulting in a decrease in the L* of color.

Texture and rehydration properties of texturised soy protein: analysis based on soybean 7S and 11S proteins

SummarySoy protein, one of the most commonly used raw materials for texturised vegetable protein, has an important influence on texturised soy protein (TSP) with its 7S and 11S fractions. In this study, soy 7S and 11S proteins were extracted from soybean isolate and added back to the raw material to prepare TSP and analyse the effect of both on the physical properties of TSP. The results showed that the addition of 5% soy 7s or 11s protein increased the water‐holding capacity (up to 9.04%) and rehydration rate (up to 25.71%) of TSP. Compared with adding soy 11s protein, adding soy 7s protein has a faster rehydration rate at a lower temperature (30 and 45 °C). After extrusion, the content of free sulphhydryl groups, total sulphhydryl groups, and disulphide bonds was significantly reduced (P < 0.05). The extrusion treatment caused degradation of the protein chains, and the proteins mainly formed insoluble polymers. Electrophoretic analysis revealed that the sodium dodecyl‐sulphate (SDS) reducing the extractable rate of the precipitate after SDS non‐reduction extraction of the TSP added with 5% soy 7S and 11S proteins were lower than that of the control. The proportion of different soybean protein components in TSP could change its texture, water‐holding, and rehydration characteristics of it, which provides a new method for the characteristics design of TSP.