Amino Acid Composition Research Articles

Increasing levels of fishmeal replacement by defatted black soldier fly larvae meal reduced growth performance without affecting fillet quality in largemouth bass (Micropterus salmoides).

A 90-day feeding trial was conducted to evaluate the effects of replacing dietary fishmeal (FM) with defatted black soldier fly larvae meal (BSFL) on the growth performance and fillet quality of largemouth bass (Micropterus salmoides). The largemouth bass was divided into six groups (BSFL0, BSFL15, BSFL30, BSFL45, BSFL75, and BSFL100) and fed six isonitrogenous(CP 50%, 508 g/kg) and isolipid (CL 9%, 124 g/kg) diets, in which 0, 15%, 30%, 45%, 75%, and 100% of the fishmeal was replaced with BSFL, respectively. The results showed that the final body weight (FBW) and specific growth rate (SGR) of the largemouth bass decreased with increasing BSFL content, and they were significantly lower in BSFL75 than in BSFL0. The weight gain rate (WGR) decreased with increasing BSFL content and the feed conversion ratio (FCR) of largemouth bass increased with increasing BSFL content. The saturated fatty acids (SFAs) and n-3 polyunsaturated fatty acids (PUFA) contents of the largemouth bass fillet significantly decreased, and the n-6 PUFA content of the largemouth bass fillets significantly increased with increasing dietary BSFL. The fillet b* significantly decreased with increasing BSFL content. The biological parameters, fillet proximate nutrient composition, fillet amino acid composition, skin color, and fillet texture of the largemouth bass were not affected by the replacement of BSFL. Transcriptomic analysis revealed that BSFL replacement of FM affects the immune system and metabolic processes of largemouth bass through signaling pathways such as complement and coagulation cascades, the PPAR signaling pathway, cholesterol metabolism, and fat digestion and absorption. In conclusion, a replacement level lower than 45% BSFL was suggested for the overall growth and fillet quality of largemouth bass.

Amino Acid Profile and Mineral Content Variations in Gastropod Species (Archachatina marginata, Achatina achatina, Tympanotanus fuscatus, and Pachymelania aurita): Implications for Dietary Enrichment

The global population surge increases the demand for daily protein requirements, emphasizing the need for cost-effective and readily available protein sources. The study investigated the amino acid, proximate, and mineral compositions of meat powders from four gastropod species (Archachatina marginata, Achatina achatina, Tympanotanus fuscatus, and Pachymelania aurita) procured from Offiong Market in Essien Udim Local Government Area of Akwa Ibom State, Nigeria. The samples were removed from their shells, and washed with deionized water and dilute acid. The meats were then dried at 65 – 70°C for 24 hours, ground into fine powder, and sieved to achieve uniformity in particle size. Amino acid, proximate, and mineral analyses were conducted. Significant differences (p<0.05) were observed in amino acid, proximate, and mineral compositions among the meat powders of the studied gastropod species. Most essential amino acids such as Leucine, histidine, isoleucine, phenylalanine, threonine, methionine, lysine, and valine were present. Proximate analysis revealed high protein and carbohydrate, and low fat and fibre contents among the gastropod species. Mineral analysis indicated high levels of Ca, P, Mg, K, and N, while Zn and Fe were significantly low across all species. The high protein and low fat and fiber contents suggest that gastropod meat powder could be used as additives for food fortification to meet the global demand for protein.

Analysis of structural composition and antioxidant activity of traditional fermented sour meat peptides

Chinese traditional fermented sour meat has a unique flavor and nutritional value. The antioxidant activity of sour meat peptides is related to their molecular weights, amino acid compositions, and structural characteristics. Therefore, this study explores the relationships between them. The results indicate that sour meat peptides with molecular weights <1 kDa exhibit significant antioxidant properties both in vitro and in vivo. The smaller the molecular weights, the higher the content of typical amino acids with antioxidant activity (p <0.05), and the characteristic peaks of ultraviolet absorption decrease. The absorption peak at 284.5 nm blue-shifted, and the polarity of the microenvironment increased. The peak intensity and peak area of the Raman characteristic peaks of tyrosine residues and aliphatic amino acids were enhanced. In the secondary structure, there is a high content of β-turns and a low content of α-helix, which are closely related to the enhancement of antioxidant activity.

The effect of biofertilizers on nickel accumulation, nitrogen metabolism and amino acid profile of corn (Zea mays L.) exposed to nickel stress.

The issue of heavy metal pollution such as nickel poses a significant environmental concern, exerting detrimental effects on the growth and viability of plant life. Plants have various mechanisms to effectively manage heavy metal stress, including the ability to modify their amino acid type and content. This adaptive response allows plants to mitigate the detrimental effects caused by excessive heavy metal accumulation. The aim of this study was to investigate the effect of biofertilizers on nickel accumulation, nitrogen metabolism and amino acid profile of corn (Zea maysL.) cv. 'PL438' exposed to Ni stress. After disinfecting and soaking in water for 24 h, corn seeds were primed with bacterial biofertilizers (T2: NPK + FZ), fungal biofertilizers (T3: Arbuscular mycorrhizal fungi (AMF) + Trichoderma (T)), or a combination of them (T4: NPK + FZ + AMF + T) and were cultured by the hydroponic method in completely controlled conditions. Then, they were simultaneously exposed to nickel chloride at various rates (0, 75, or 150 µM) at the three-leaf stage. They were harvested two weeks later and were subjected to the measurement of Ni content, nitrate and nitrite content, nitrate reductase activity, and amino acid profile by high-performance liquid chromatography. The results showed that the application of Ni at higher rates increased Ni, nitrate, and nitrite contents and nitrate reductase activity. The study of Ni accumulation and TF revealed that Ni accumulated in the roots to a greater extent than in the shoots and TF was < 1 in all treatments. The shoot amino acid profile showed that the treatment of Ni+2 increased som amino acids such as aspartic acid, asparagine, serine, histidine, and glycine versus the control, whereas T4Ni+2 increased aspartic acid, glutamic acid, threonine and arginine. The change in amino acids in Ni-treated plants may play a key role in their adaptation to Ni stress. The findings indicate that biofertilizers played a crucial role in mitigating the negative impacts of Ni on corn plants through alterations in amino acid composition and decreased absorption and translocation of Ni.

Effects of antibacterial peptides from Brevibacillus texasporus on growth performance, meat quality and gut health of cultured largemouth bass (Micropterus salmoides)

The aim of this study was to investigate the effects of antibacterial peptides from Brevibacillus texasporus (BT) on the growth performance, meat quality and gut health of cultured largemouth bass (Micropterus salmoides). Largemouth bass (36.17 ± 1.52 g) were divided into 2 groups and each group was fed with diets supplemented with or without 200 ppm of BT peptides for 130 days. The results showed that BT peptides had no significant influences on growth performance and body indexes, but significantly enhanced total antioxidant capacity and lysozyme content in the serum. Moreover, digestive enzymes activities and intestinal villous height were also prominently increased. From meat quality aspect, no significant differences were found in nutritional components, amino acid composition, fatty acid composition and texture property, except the values of hardness, gumminess and γ-linolenic acid (C18:3n6) were remarkably increased after BT peptides intervention. Finally, the results of gut microbiota and short chain fatty acids revealed that BT peptides significantly decreased the relative abundances of harmful bacteria such as genus Acinetobacter and Pseudomonas, and increased the production of short chain fatty acids. In conclusion, this study confirmed that BT peptides could be used to improve the health of largemouth bass, which provided novel insights into the application of antimicrobial peptides in aquacultures.

Ice recrystallization inhibition activity of pulse protein hydrolysates after immobilized metal affinity separation

Creating molecules capable of inhibiting ice recrystallization is an active research area aiming to improve the freeze-thaw characteristics of foods and biomedical materials. Peptide mixtures have shown promise in preventing freezing-induced damage, but less is known about the relationship between their amino acid compositions and ice recrystallization inhibition (IRI) activities. In this article, we used Ni2+ immobilized metal affinity chromatography (IMAC) to fractionate pulse protein hydrolysates, created by Alcalase and trypsin, into mixtures lacking and enriched in His, and Cys residues. The aim of this study was to fractionate pulse protein hydrolysates based on their amino acid compositions and evaluate their resulting physicochemical and IRI characteristics. Ni2+ IMAC fractionation induced IRI activity in all of the evaluated soy, chickpea, and pea protein hydrolysates regardless of their amino acid composition. Ni2+ IMAC fractionation produced chemically distinct fractions of peptides, differing by their molecular weights, amino acid composition, and IRI activities. The resulting peptide mixtures' molecular weight, amino acid composition, secondary structure, and sodium ion levels were found to have no correlation with their IRI activities. Thus, we demonstrate for the first time the ability of Ni2+ IMAC fractionation to induce IRI activity in hydrolyzed pulse proteins.

A comparison of the chemical compositions and nutrient values of the sanim and srithong varieties of the farmed golden apple snails (Gastropoda; Ampullariidae; Pomacea canaliculata)

The comparison of the Sanim (SN) and Srithong (ST) varieties of the farmed apple snail Pomacea canaliculata as an alternative protein source has shown that ST contained more hydroxyproline and possessed a greater firmness than SN. Nevertheless, both varieties yielded similar protein contents of 20.90–23.07 % and exhibited similar texture, color, cooking yields and cooking losses after cooking. Good palatability with high liking score was obtained from both snail meat samples, particularly color, texture, and overall attributes. Snail meats possessed good nutritive value with an amount of protein and low fat content, whereas SN contained higher protein and total energy(P < 0.05). Other nutritionally useful chemicals (such as calcium, sodium, iron, vitamins B1 and B2) are present. Sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE) results discovered that myosin heavy chain, paramyosin, and actin were the prevalent protein components. Differences in nitrogen content distribution were observed between SN and ST, in which alkaline-soluble protein was the major fraction. Amino acid composition and fatty acid content varied regarding snail varieties with a large amount of essential amino acids and good source of MUFA and PUFA. Therefore, both farmed SN and ST snails could be an effective alternative protein source with a significant amount of nutritive value.

Extended dipeptide composition framework for accurate identification of anticancer peptides

The identification of anticancer peptides (ACPs) is crucial, especially in the development of peptide-based cancer therapy. The classical models such as Split Amino Acid Composition (SAAC) and Pseudo Amino Acid Composition (PseAAC) lack the incorporation of feature representation. These advancements improve the predictive accuracy and efficiency of ACP identification. Thus, the effort of this research is to propose and develop an advanced framework based on feature extraction. Thus, to achieve this objective herein we propose an Extended Dipeptide Composition (EDPC) framework. The proposed EDPC framework extends the dipeptide composition by considering the local sequence environment information and reforming the CD-HIT framework to remove noise and redundancy. To measure the accuracy, we have performed several experiments. These experiments were employed using four famous machine learning (ML) algorithms named; Support Vector Machine (SVM), Decision Tree (DT), Random Forest (RF), and K Nearest Neighbor (KNN). For comparisons, we have used accuracy, specificity, sensitivity, precision, recall, and F1-Score as evaluation criteria. The reliability of the proposed framework is further evaluated using statistical significance tests. As a result, the proposed EDPC framework exhibited enhanced performance than SAAC and PseAAC, where the SVM model delivered the highest accuracy of 96. 6% and significant enhancements in specificity, sensitivity, precision, and F1-score over multiple datasets. Due to the incorporation of enhanced feature representation and the incorporation of local and global sequence profiles proposed EDPC achieves higher classification performance. The proposed frameworks can deal with noise and also duplicating features. These are accompanied by a wide range of feature representations. Finally, our proposed framework can be used for clinical applications where ACP identification is essential. Future works will include extending to a larger variety of datasets, incorporating tertiary structural information, and using deep learning techniques to improve the proposed EDPC.

Continuous pulsed electric field processing for intensification of aqueous extraction of protein from fresh green seaweed Ulva sp. biomass

The green marine macroalgae Ulva sp. can reach a high protein content and a high composition of essential amino acids. In this study, we have developed a novel device and investigated the parameters for a continuous Pulsed Electric Field (PEF) process, coupled with enzyme treatment followed by a spray drying, to facilitate the aqueous fractionation of Ulva protein. The process demonstrated 8.79 ± 0.58 (% w/w) protein extraction yield. Furthermore, the aqueous fractionation of protein exhibited a substantial 41.45% essential amino acid content and a branched amino acids composition of 17.58%. Additionally, it displayed an in vitro relative digestibility of 87.4 ± 1.36% compared to soy protein, along with a water holding capacity of 7.15 ± 0.17 g water/g sample and an oil holding capacity of 1.76 ± 0.11 g oil/g sample. These findings suggest that employing a continuous PEF process in conjunction with enzyme-induced cell wall degradation could position green marine macroalgae as an important potential source for food protein ingredients.

Chemical Composition and Nutritive Value of Sea Buckthorn Leaves.

Sea buckthorn leaves (SBT_LVs) form notable by-product during harvesting and post-harvest management of the berries. It is already known that sea buckthorn berries are important for their chemical composition and based on this, they occupy a wide field in nutrition. SBT_LVs also have a rich chemical composition, like the berries. The aim of this study was to describe these by-products in the context of protein and complex carbohydrates-dietary fiber fractions, including qualitative and quantitative composition of amino acids. Proximate composition, amino acids, nutritional values of the protein, and dietary fiber fractions of SBT_LVs of four cultivars (cvs.) Ascola, Habego, Hergo, and Leikora were assessed. SBT_LVs from different years of the study had statistically different levels of crude protein, ether extract, crude ash, and nitrogen-free extract (NFE), confirming that the quality of the raw material (leaves) can be significantly modified by habitat conditions. The largest fraction of dietary fiber was neutral detergent fiber (NDF), including the sum of hemicellulose, cellulose, and lignin, followed by the acid detergent fiber fraction (ADF), consisting of lignin and cellulose. The content of essential amino acids in SBT_LV protein was high. Overall, this study confirms that SBT_LVs hold promise as a valuable resource for use as a food ingredient, functional food, and dietary supplement for both humans and animals.

Unraveling the role of physicochemical differences in predicting protein-protein interactions.

The ability to accurately predict protein-protein interactions is critically important for understanding major cellular processes. However, current experimental and computational approaches for identifying them are technically very challenging and still have limited success. We propose a new computational method for predicting protein-protein interactions using only primary sequence information. It utilizes the concept of physicochemical similarity to determine which interactions will most likely occur. In our approach, the physicochemical features of proteins are extracted using bioinformatics tools for different organisms. Then they are utilized in a machine-learning method to identify successful protein-protein interactions via correlation analysis. It was found that the most important property that correlates most with the protein-protein interactions for all studied organisms is dipeptide amino acid composition (the frequency of specific amino acid pairs in a protein sequence). While current approaches often overlook the specificity of protein-protein interactions with different organisms, our method yields context-specific features that determine protein-protein interactions. The analysis is specifically applied to the bacterial two-component system that includes histidine kinase and transcriptional response regulators, as well as to the barnase-barstar complex, demonstrating the method's versatility across different biological systems. Our approach can be applied to predict protein-protein interactions in any biological system, providing an important tool for investigating complex biological processes' mechanisms.

Genome-wide SNPs and candidate genes underlying the genetic variations for protein and amino acids in pearl millet (Pennisetum glaucum) germplasm

Main conclusionA total of 544 significant marker-trait associations and 286 candidate genes associated with total protein and 18 amino acids were identified. Thirty-three candidate genes were found near the strong marker trait associations (– log10P ≥ 5.5).Pearl millet (Pennisetum glaucum) is largely grown as a subsistence crop in South Asia and sub-Saharan Africa. It serves as a major source of daily protein intake in these regions. Despite its importance, no systematic effort has been made to study the genetic variations of protein and amino acid content in pearl millet germplasm. The present study was undertaken to dissect the global genetic variations of total protein and 18 essential and non-essential amino acids in pearl millet, using a set of 435 K Single Nucleotide Polymorphisms (SNPs) and 161 genotypes of the Pearl Millet Inbred Germplasm Association Panel (PMiGAP). A total of 544 significant marker-trait associations (at P < 0.0001; – log10P ≥ 4) were detected and 23 strong marker-trait associations were identified using Bonferroni’s correction method. Forty-eight pleiotropic loci were found in the genome for the studied traits. In total, 286 candidate genes associated with total protein and 18 amino acids were identified. Thirty-three candidate genes were found near strongly associated SNPs. The associated markers and the candidate genes provide an insight into the genetic architecture of the traits studied and are going to be useful in breeding improved pearl millet varieties in the future. Availabilities of improved pearl millet varieties possessing higher protein and amino acid compositions will help combat the rising malnutrition problem via diet.

Identification and application of a novel patulin degrading enzyme from Cyberlindnera fabianii

Patulin (PAT) is a mycotoxin commonly found in fruits and vegetables, prompting the need for effective removal and detoxification methods, which have garnered significant research attention in recent years. Among these methods, the utilization of microbial-derived enzymes stands out due to their mild operating conditions, specificity in targeted functional groups, and the production of non-toxic by-products, making it a preferred degradation approach. In this study, a novel PAT-degrading enzyme derived from Cyberlindnera fabianii (Cyfa-SDR) was identified, demonstrating its highest catalytic activity at pH 7.0 and 80 °C against PAT. This temperature tolerance level represents the highest reported for PAT-degrading enzymes to date. The enzyme was further characterized as a short-chain dehydrogenase through analysis of its amino acid composition, conserved GXXXGXG motif, and dependency on NADPH. Moreover, the study evaluated the efficiency of PAT degradation by Cyfa-SDR at varying substrate and enzyme concentrations, surpassing the performance of other PAT-degrading enzymes, thus highlighting its substantial potential for the biological control of PAT. In conclusion, the enzymatic treatment using the PAT-degrading enzyme Cyfa-SDR presents a viable and promising solution for enhancing the quality and safety of fruit juice.

Effects of branched-chain amino acids on surfactin structure and antibacterial activity in Bacillus velezensis YA215.

Antibiotics are essential for combating pathogens; however, their misuse has led to increased resistance, necessitating the search for effective, low-toxicity alternatives. Surfactin, a cyclic lipopeptide with a C12-C17 β-hydroxy fatty acid chain, exhibits significant antibacterial activity and resists resistance, making it a research focus. Nonetheless, the effects of branched-chain amino acids (BCAAs) on surfactin's structure and activity are not well understood. This study examines the influence of BCAAs (L-valine, L-leucine, and L-isoleucine) on the lipopeptide (surfactin) produced by Bacillus velezensis YA215. Process optimization shows that adding 1g/L of L-Leu and L-Ile, and 0.5g/L of L-Val, maximized surfactin production to 18.59%, 19.23%, and 20.64%, respectively. Surfactin content peaked at 36h with L-Val and L-Ile, yielding 19.72% and 11.37%. In contrast, L-Leu addition peaked at 24h, yielding 11.33%. Notably, L-Val supplementation resulted in the highest relative surfactin content. Antimicrobial testing demonstrated that BCAAs significantly enhance the antibacterial effects of lipopeptides against Escherichia coli and Staphylococcus aureus, with Val showing the most pronounced effect. The addition of BCAAs notably altered the composition of surfactin fatty acid chains. Specifically, Val increased the proportions of iso C14 and iso C16 β-hydroxy fatty acids from 13.3% and 4.216-23.803% and 8.31%, respectively. Additionally, the amino acid composition at the 7th position of the peptide chain changed significantly, especially with Val addition, which increased the proportion of C14 [Val 7] surfactin by 3.29 times. These structural changes are likely associated with the enhanced antibacterial activity of surfactin. These findings provide valuable insights into the roles of BCAAs in microbial fermentation, underscoring their importance in metabolic engineering to enhance the production of bioactive compounds.

Walnut meal improves meat quality by modulating intestinal microbes in white feather broilers

Improving the number of amino acids and unsaturated fatty acids in the diet is a good way to raise the quality of the meat. Currently, most research on the quality of broiler meat focuses on genetic traits; nevertheless, it is unclear how meat quality is regulated. This experiment was conducted to investigate the effects of different supplemental levels of walnut meal (WM) on growth performance, amino acid and fatty acid composition, microbial composition, and meat quality of white feather broilers. 1 week old white feather broilers (n = 120; Body weight 83.76 ± 2.32 g), were randomly divided into 3 treatments and 4 replicates. Walnut meal of basic diet (CK), 5 %(WM-L) and 10 %(WM-H) were added to the diets of white feather broilers, respectively. The results showed that walnut meal could increase L* 24 h (24 h brightness) of breast muscle of white feathered broilers (p < 0.05). The amount of essential amino acids (e.g., isoleucine, methionine, leucine, tryptophan, and phenylalanine), umami amino taste acids (glutamic acid), and PUFA/SFA (polyunsaturated fatty acid) (n-3PUFA and n-6 PUFA) in breast muscle increased as the dose was increased. Furthermore, walnut meal regulated amino acid flavour metabolism by increasing the relative abundance of Bacteroides, bifidobacterium, and enterococcus faecalis, according to 16S rRNA sequencing and functional prediction analysis. The correlation showed that amino acid and fatty acid composition was one of the key factors affecting pH value, meat color and tenderness of chicken. In conclusion, dietary addition of walnut meal can increase the content of essential amino acids and unsaturated fatty acids and the relative abundance of beneficial bacteria of broilers, which is of great significance for improving meat quality of white feather broilers.

Structure, Functional Properties, and Applications of Foxtail Millet Prolamin: A Review.

Foxtail millet prolamin, one of the major protein constituents of foxtail millet, has garnered attention due to its unique amino acid composition and function. Foxtail millet prolamin exhibits specific physicochemical and functional characteristics, such as solubility, surface hydrophobicity, emulsifying, and foaming properties. These characteristics have been exploited in the preparation and development of products, including plant-based alternative products, nutritional supplements, and gluten-free foods. Additionally, because of the favorable biocompatibility and biodegradability, foxtail millet prolamin is frequently used as a carrier for encapsulation and targeted delivery of bioactive substances. Moreover, studies have shown that foxtail millet prolamin is highly nutritious and displays various biological activities like antioxidant effects, anti-inflammatory properties, and anti-diabetic potential, making it a valuable ingredient in medicinal products and contributing to its potential role in therapeutic diets. This review summarizes the current knowledge of the amino acid composition and structural characteristics of foxtail millet prolamin, as well as the functional properties, biological activities, and applications in functional food formulation and drug delivery strategy. Challenges and future perspectives for the utilization of foxtail millet prolamin are also pointed out. This review aims to provide novel ideas and broad prospects for the effective use of foxtail millet prolamin.

A sucrose-binding protein and β-conglycinins regulate soybean seed protein content and control multiple seed traits.

Expanded agriculture production is required to support the world's population but can impose substantial environmental and climate change costs, particularly with intensifying animal production and protein demand. Shifting from an animal- to a plant-based protein diet has numerous health benefits. Soybean (Glycine max [L.] Merr.) is a major source of protein for human food and animal feed; improved soybean protein content and amino acid composition could provide high-quality soymeal for animal feed, healthier human foods, and a reduced carbon footprint. Nonetheless, during the soybean genome evolution, a balance was established between the amount of seed protein, oil, and carbohydrate content, burdening the development of soybean cultivars with high proteins (HPs). We isolated 2 high-seed protein soybean mutants, HP1 and HP2, with improved seed amino acid composition and stachyose content, pointing to their involvement in controlling seed rebalancing phenomenon. HP1 encodes β-conglycinin (GmCG-1) and HP2 encodes sucrose-binding protein (GmSBP-1), which are both highly expressed in soybean seeds. Mutations in GmSBP-1, GmCG-1, and the paralog GmCG-2 resulted in increased protein levels, confirming their role as general regulators of seed protein content, amino acid seed composition, and seed vigor. Biodiversity analysis of GmCG and GmSBP across 108 soybean accessions revealed haplotypes correlated with protein and seed carbohydrate content. Furthermore, our data revealed an unprecedented role of GmCG and GmSBP proteins in improving seed vigor, crude protein, and amino acid digestibility. Since GmSBP and GmCG are present in most seed plants analyzed, these genes could be targeted to improve multiple seed traits.

Prediction of leukemia peptides using convolutional neural network and protein compositions

Leukemia is a type of blood cell cancer that is in the bone marrow’s blood-forming cells. Two types of Leukemia are acute and chronic; acute enhances fast and chronic growth gradually which are further classified into lymphocytic and myeloid leukemias. This work evaluates a unique deep convolutional neural network (CNN) classifier that improves identification precision by carefully examining concatenated peptide patterns. The study uses leukemia protein expression for experiments supporting two different techniques including independence and applied cross-validation. In addition to CNN, multilayer perceptron (MLP), gated recurrent unit (GRU), and recurrent neural network (RNN) are applied. The experimental results show that the CNN model surpasses competitors with its outstanding predictability in independent and cross-validation testing applied on different features extracted from protein expressions such as amino acid composition (AAC) with a group of AAC (GAAC), tripeptide composition (TPC) with a group of TPC (GTPC), and dipeptide composition (DPC) for calculating its accuracies with their receiver operating characteristic (ROC) curve. In independence testing, a feature expression of AAC and a group of GAAC are applied using MLP and CNN modules, and ROC curves are achieved with overall 100% accuracy for the detection of protein patterns. In cross-validation testing, a feature expression on a group of AAC and GAAC patterns achieved 98.33% accuracy which is the highest for the CNN module. Furthermore, ROC curves show a 0.965% extraordinary result for the GRU module. The findings show that the CNN model is excellent at figuring out leukemia illnesses from protein expressions with higher accuracy.

Effects of the photovoltaic fishery culture model on muscle nutritional quality and volatile flavor compounds of Litopenaeus vannamei

This study used Litopenaeus vannamei to compare the muscle nutritional quality and volatile flavor compounds of animals raised in the photovoltaic fishery culture model (PM) and the common pond breeding model (CM). Amino acids, fatty acids, and volatile flavor substances were identified and analyzed using an automatic amino acid analyzer and headspace solid phase microextraction(HS-SPME) combined with GC/MS. There were no significant differences between the two culture models in terms of general nutrients, mineral contents, and amino acid compositions in the muscles of L. vannamei. In the PM group, the proportion of flavor amino acids in total amino acids was higher. Based on the amino acid score (AAS) and chemical score (CS), it was found that methionine and cystine were the first limiting amino acids in the muscle samples. The essential amino acid index (EAAI) value was approximately 77 for both models, indicating high-quality proteins. The muscles contained nine types of fatty acids, with the PM group showing significantly higher levels of both monounsaturated and total fatty acids. A total of 23 volatile flavor compounds were identified in both models. The contents of 1-nonanal, n-tridecane, and alpha-terpineol were higher when cultured in the PM. Conversely, the contents of hexanal, 2-ethylhexanol, and dipentene were lower in the PM group. The photovoltaic fishery culture model has the potential to enhance income through photovoltaic power generation. In addition, this study found that the fatty acid composition of L. vannamei was improved in the PM, without compromising muscle composition or flavor. These results provide a theoretical basis for evaluating the meat quality of L. vannamei under different culture models and offer data to support and guide the promotion of the PM.

A hidden element governing immunogenicity in tumoral neoepitopes

The search for what characteristics define an epitope as either an immunogenic or a non-responsive target for immunotherapy has eluded researchers for years. Several studies demonstrate that certain positions in the peptide sequences, the major histocompatibility complex (MHC) anchor residues, have a preferential composition of amino acids (allelic motifs), being those epitopes more likely to display a better immunogenic response. First of all, not all MHC ligands are immunogenic, considering that unnumbered self-epitopes are continuously presented on the cell surfaces. In this work, we analyzed data to evaluate an additional element, central to our hypothesis that alterations in tumor protein sequences result in a structural change that shifts the electrostatic surface of the peptide-major histocompatibility complex (pMHC) molecules, pivotal for T-Cell receptor (TCR) recognition and the initiation of an immunogenic response. Firstly, previously neoepitope sequences presenting differential immune responses when compared with their wild-type counterparts were recovered. Even though the sequences were very similar, they triggered responses that were considerably different, and currently, there is no well-established explanation for why they conspicuously differ in immunogenic aspects from each other. The pMHCs structures harboring the epitope sequences were modeled and then used to generate images of their electrostatic surfaces, looking for qualitative differences that indicate the distinct responses. We noticed that no significant alteration occurred between immunogenic tumor peptides and their wild-type non-immunogenic counterparts when comparing their electrostatic surface. An additional comparison was made against structures of pMHCs containing immunogenic epitopes recovered from the Crosstope Database (https://crosstope.com.br/). In this sense, it was also possible to verify if immunogenic tumor epitopes were similar to viral immunogenic ones. Surprisingly, both wild-type (WT) sequences and neoepitopes shared an electrostatic surface distribution with pathogen targets, which could indicate their immunogenic predisposition. So we theorized that a “hidden element” may be responsible for the immunogenicity shift in neoepitopes.