International Journal of Biological Macromolecules

The widespread use of synthetic food dyes, such as Acid Yellow 23 (AY 23), in the food, cosmetics, and pharmaceutical industries raises questions about their potential effects on biological systems and public health. The concentration-dependent interaction between AY 23 and bovine serum albumin (BSA), a crucial model protein for understanding pharmacokinetics and protein-ligand behaviour, was examined in this study. We demonstrate that, under physiological conditions, increasing dye concentrations from 50 M to 200 M results in notable conformational changes, increased surface hydrophobicity, and protein aggregation using a multimodal biophysical approach that includes fluorescence spectroscopy. Direct visualisation verified these structural changes and aggregate formation, whereas hemolytic assay confirmed the high hemolytic nature of AY 23-induced fibrils. Additionally, this study provides a mechanistic basis for the toxicological effects of AY 23, underscoring the implications of food dyes for public health.

Epigenetic regulation of chromatin dynamics via histone acetylation is one of several mechanisms by which eukaryotes regulate gene expression, DNA replication and repair, and maintain genome stability. This function is performed by histone acetyltransferases (HATs). Rtt109 is one such cytoplasmically localized HAT required for H3K56 acetylation found exclusively in fungi. Using recombinantly expressed Candida albicans Rtt109 and its chaperones, Vps75 and Asf1, we show that it can acetylate a 20-residue N-terminal H3 peptide in a coupled HAT assay only in the presence of Vps75, but not in the presence of Asf1 in vitro. This appears to be due to the fact that Rtt109-Vps75 is a high affinity stable complex, as estimated by biolayer interferometry (BLI) and gel filtration studies. The HAT activity of the Rtt109-Vps75 complex necessarily requires a flexible 118-160 residue loop of Rtt109 but not the C-terminal domain of Vps75. These results are comparable with what has been observed for the Saccharomyces cerevisiae Rtt109 homolog. In silico screening of 1,350,000 molecules from Life Chemicals Databases identified some likely inhibitors of C. albicans Rtt109 and six of them tested for binding to Rtt109 using BLI. The best ligand, F2368-0266, was used to study its effect on steady state enzyme kinetics, and found to be a competitive inhibitor of the peptide substrate but not of acetyl-CoA. Given the importance of Rtt109 in regulating virulence attributes such as hyphal morphogenesis and GPI biosynthesis in Candida albicans, and its effect on fungal pathogenesis, these results have significant clinical implications.

Kyasanur Forest Disease Virus (KFDV) NS5 methyltransferase (MTase) protein is the essential enzyme that is involved in the cap methylation of viral RNA, viral replication, and immune evasion, and therefore it is an important protein of interest for antiviral research and drug design. In the present work, we successfully resolved the three-dimensional crystal structures of KFDV NS5 MTase co-crystallised with SAH and GTP at resolutions of 2.2 [A] and 2.6 [A], respectively. In previous studies, HC (Herbacetin) and CAPE (Caffeic acid phenethyl ester) have shown inhibitory activity against SAM-dependent viral MTase. To evaluate the inhibitory potential of HC and CAPE against KFDV NS5 MTase, we have performed isothermal titration calorimetry (ITC) and tryptophan fluorescence spectroscopy (TFS) to validate protein interaction with target compounds. MTase inhibition assay was performed using capillary electrophoresis (CE) assays. Additionally, fluorescence polarisation (FP) confirmed RNA binding inhibition by CAPE and HC. Together, these experiments suggest that HC and CAPE are promising inhibitors against KFDV NS5 MTase and could potentially act as lead compounds to design broad-spectrum anti-Orthoflavivirus drugs.

Amyloid fibrils are highly ordered protein aggregates characterized by a conserved cross-{beta}-sheet architecture despite originating from structurally diverse precursor proteins. Growing evidence suggests that interactions between different amyloidogenic proteins can modulate aggregation pathways through heterologous cross-seeding; however, the influence of seed polymorphism on the structure and biological properties of cross-seeded fibrils remains poorly understood. Here, we investigated the cross-seeding of native human insulin by two structurally distinct polymorphs of hen egg-white lysozyme (HEWL): flexible fibrils (FFs) and rigid fibrils (RFs). Native insulin remained stable under physiological conditions and underwent spontaneous fibrillation only under acidic conditions. In contrast, both HEWL polymorphs efficiently induced insulin aggregation at physiological pH, bypassing the nucleation barrier. Thioflavin T fluorescence, circular dichroism spectroscopy, and transmission electron microscopy revealed that lysozyme FFs templated the formation of insulin flexible fibrils (IFFs), whereas lysozyme RFs produced insulin rigid fibrils (IRFs), demonstrating that the structural characteristics of the parental HEWL polymorphs were propagated during heterologous cross-seeding. The toxicity of the resulting insulin fibrils was evaluated in SH-SY5Y neuronal cells and CCF-STTG1 astrocytes. IFFs exhibited minimal cytotoxicity and only subtle morphological alterations, whereas IRFs caused modest reductions in cell viability accompanied by more pronounced cellular damage. These findings demonstrate that the structural polymorphism of HEWL fibrils governs both the architecture and biological activity of cross-seeded insulin fibrils, highlighting amyloid polymorphism as an important determinant of heterologous amyloid propagation and a potential design principle for engineering functional amyloid-based biomaterials and protein delivery platforms.

Antifreeze proteins (AFPs), lower the freezing point via thermal hysteresis activity and/or ice recrystallization inhibition, playing a crucial role in protecting organisms from freezing damage under sub-zero milieu. This property endows them with promising applications in biomedicine and agriculture, ranging from tissue-organ cryopreservation to the development of frost-resistant crops. However, the lack of comprehensive resources dedicated for AFPs hinders further progress in elucidating their functional mechanisms and advancing their applications. Here, we report AFP-R, an online resource comprising AFP-DB and AFP-Predictor. AFP-DB is a comprehensive database with manually curated proteins bearing experimentally validated antifreeze activity derived from published literature, whereas AFP-Predictor is a sequence-based machine-learning model to identify AFPs. AFP-DB stores diverse AFP-related information, including sequences, structures, post-translational modifications, taxonomy and annotations of antifreeze-activity experimental assays. It now holds 186 entries, 607 sub-entries, and 1444 experimental records. AFP-Predictor, an AFP-identification algorithm built on protein language model ESM2 (Evolutionary Scale Modeling2), is trained on data in AFP-DB and outperforms several existing models. This work offers a valuable resource for systematically dissecting the mechanisms underlying AFP antifreeze activity and will facilitate their broader applications.

Phosphatase and tensin homolog (PTEN)-induced putative kinase 1 (PINK1), a key regulator of mitophagy, has been linked to the pathogenesis of Parkinson's disease (PD). PINK1 recruits Parkin, an E3 ubiquitin ligase, triggering mitophagy in response to mitochondrial damage. During mitophagy, the quantity, stability, and activity of PINK1 must be strictly regulated; however, the mechanisms governing these parameters under cellular stress are still unclear. Herein, we determined the structural basis for PINK1 maturation mediated by heat shock protein 90/cell division cycle 37/FK506-binding protein 51 (HSP90/CDC37/FKBP51) chaperone complex. We identified PINK1-associated proteins using liquid chromatography-tandem mass spectrometry (LC-MS/MS) and determined the structures of the complexes using Cryo-Electron Microscopy (Cryo-EM). Results showed that FKBP51 potentially interacts with a conserved leucine-proline-phenylalanine (LPF) motif on the activation loop of PINK1 and negatively regulates PINK1 functions in mitophagy. A PINK1 mutation located at the FKBP51 recognition site is linked to mitophagy deficiency, which can be partially rescued by specific inhibition of FKBP51. These findings reveal a general mechanism for PINK1 recognition by the HSP90/CDC37/FKBP51 chaperone complex and suggest a potential approach for upregulating PINK1 activity, which is impaired in PD.

Production of recombinant proteins frequently yields inclusion bodies that must undergo refolding to yield active protein. Here, we optimized the refolding conditions for the recombinant leucyl aminopeptidase (rPepL) from Lactocaseibacillus casei expressed in inclusion bodies from E. coli. Several chemical additives were assessed for how well they facilitated an increase in refolding efficiency. The best, 0.5 M L-arginine, yielded 50.8% refolding. The addition of stabilizers, such as sucrose and glycerol, with L-arginine further increased yields to 85%. Urea at lower concentrations (0.25-0.5 M) also facilitated an increase in the refolding yield when co-added with L-arginine, whereas guanidinium chloride inhibited it. Sugars and polyols exhibited dose-dependent effects, with ranges for optima also defined. Fluorescence spectroscopy verified enhancements in the refolding under the optimized conditions. Molecular dynamics simulation under mixed solvent conditions provided atomic insights about stabilizing interactions that are likely to facilitate increased refolding. The results show that a series of aggregation suppressors and protein stabilizers can, in a collaborative way, increase the refolding efficiency for the recombinant proteins from the inclusion bodies. The protocol with the optimization using the additives L-arginine, sucrose, and glycerol is an efficient method for the production of active rPepL. This article outlines the best refolding method to recover recombinant leucyl aminopeptidase from inclusion bodies of E. coli using L-arginine combined with sucrose and glycerol. The combined experimental observations and computational simulations elucidate the molecular process of additive-induced stabilization, which elucidates how aggregation inhibition and hydrogen-bonded stabilization act synergistically. The results presented herein answer both mechanistic understanding and experimental guidance for improving protein refolding.

Nisin is a promising antimicrobial peptide widely used in food preservation due to its efficacy against Gram-positive spoilage and pathogenic bacteria. Although Nisin is increasingly applied in the food sector, the biopeptide suffers from instability within food matrixes and can rapidly lose its antimicrobial potential following interaction with food biomolecules. Thus, it is necessary to investigate approaches that can be employed to extend the stability and activity of Nisin. Hence, the aim of this study was to develop and characterise a chitosan-alginate polyelectrolyte microencapsulation system capable of enhancing Nisin stability while retaining antimicrobial activity. The microencapsulation of Nisin was achieved by pre-gelation of alginate using calcium chloride and subsequent direct electrostatic interaction between cationic Nisin and chitosan with pre-gelled anionic alginate at pH 5.0. Following microcapsule formation, physicochemical and structural characterisation was performed using Zeta potential determination and measurement of the polydispersity index (PDI) via dynamic light scattering. SEM micrographs were used to confirm morphology, while Fourier-transform infrared (FTIR) spectroscopy and high-performance liquid chromatography (HPLC) were utilised to assess chemical integrity and functional group preservation of encapsulated Nisin. Following this, stable microcapsules with diameters ranging from 150-200 nm and smooth surface morphology were obtained. Microcapsule formation was strongly influenced by formulation parameters, particularly pH, calcium ion concentration, and chitosan content, with deviations from optimal acidic conditions (< pH 5.0) resulting in aggregation, increased polydispersity, and reduced encapsulation efficiency. The microcapsules were monodispersed (PDI {approx} 0.30) and electrostatically stable, exhibiting a Zeta potential of approximately +36 mV. These microcapsules remained stable over a prolonged storage period of 21 days under refrigerated conditions while retaining antimicrobial activity against Bacillus cereus. Encapsulation efficiency reached approximately 65%, confirming effective retention of Nisin within the polymer matrix. Overall, the findings demonstrate that chitosan-alginate ionic gelation is a non-denaturing and effective encapsulation strategy for extending the functional stability of Nisin. These microcapsules show strong potential as natural antimicrobial delivery systems for food and beverage applications, particularly in acidic food matrices, with implications for improved food safety and shelf-life extension.

Significance Missense mutations can lead to pathological effects in human cells. Predictive methods that account for structural context, such as AlphaMissense, can provide pathogenicity scores. The accumulation of pathogenicity hotspots can reveal important structural features within individual proteins of protein families, such as GLUT transporters. Mapping pathogenicity scores onto the structure can thus provide a mechanistic explanation of the protein function necessary for its role in the cell. Abstract Non-synonymous amino acid substitutions (missense mutations) are common in the general population; some are causative of serious disease. Depending on their structural context, they can disrupt protein function, folding, or dynamics. Computational predictive methods developed in recent years, such as AlphaMissense, provide new insights into how missense mutations affect protein structure by predicting and mapping their pathogenicity across each amino acid in the human proteome. In this study, we identify recurring patterns of pathogenicity prediction across the GLUT family membrane transporters encoded by genes slc2a1-14. Within the GLUT transporter family, we observe higher pathogenicity profiles in the transmembrane domains, particularly in pore-lining and binding-site residues. Predicted missense pathogenicity is elevated throughout residues assigned to the central cavity, suggesting sensitivity of the transport pathway. Another finding shows higher pathogenicity in specific transmembrane helices of the protein, with the same pattern across all proteins. On the other hand, we observed lower pathogenicity values in some representatives of the GLUT family. These findings show that the pathogenicity of glucose transport within the GLUT family may be shaped by functional redundancy and physiological essentiality across GLUT groups.

Urease is a nickel-dependent enzyme that plays an important role in urea hydrolysis and in a process named as microbial-induced calcium carbonate precipitation (MICP), which is widely used in sustainable environmental biotechnology. Despite its ecological importance, urease powers Biogrout (biocementation), a promising green technology for soil stabilization and infrastructure repair. Yet, the relationship between nickel availability, enzyme activation, and bacterial fitness remains poorly understood. In this study, we reveal a striking dual effect of nickel on Sporosarcina pasteurii: while high Ni{superscript 2} concentrations strongly inhibit growth (IC {approx} 637.7 {micro}M), they simultaneously boost specific urease activity up to six-fold. This uncoupling between biomass and enzymatic efficiency highlights a previously overlooked adaptive strategy under metal stress. Using structural bioinformatics and molecular docking, we show that Ure1--the catalytic subunit--exhibits the strongest nickel affinity (-4.3 kcal{middle dot}mol-{superscript 1}), supported by highly conserved active-site residues, whereas accessory proteins UreE and UreG display moderate and weak binding, consistent with their roles in metal delivery and GTP-dependent maturation. In addition, microscopic observations confirmed that calcium carbonate precipitation was most pronounced at intermediate nickel concentrations (approximately 400-1000 {micro}M), whereas higher concentrations ([&ge;]1000-1300 {micro}M) led to reduced mineral formation due to loss viable cells. Taken together, these results indicates that nickel availability controls both urease activation and bacterial fitness, and that an optimal balance is required to maximize biomenerilization efficiency in environmental applications, particularly in biocementation technology. ImportanceUrease-driven biomineralization is widely used in sustainable technologies such as soil stabilization and self-healing concrete. However, optimizing these systems requires a clear understanding of how environmental factors influence enzyme performance. This study shows that nickel, an essential cofactor for urease, plays a dual role by enhancing enzymatic activity while inhibiting bacterial growth at high concentrations. By integrating experimental data with computational analysis, we demonstrate that efficient biomineralization depends on maintaining nickel within an optimal range that balances enzyme activation and microbial viability. These findings provide practical guidance for improving biocementation processes and highlight nickel as a key regulator of urease-based environmental biotechnology applications.

The High Mobility Group Box 1 (HMGB1) protein performs multiple essential functions in the body, ranging from DNA regulation to the activation and mediation of immune responses. However, HMGB1 has been also implicated in several pathological conditions, such as rheumatoid arthritis, sepsis, autoimmune diseases, tumors, and Alzheimer's disease. As a result, HMGB1 is of increasing interest as a therapeutic target. Binding to heparin has been reported to inhibit HMGB1's pathological activity during sepsis in clinical settings. In this work, we compare the interactions of HMGB1 with heparin and its' synthetic analog linear polyglycerol sulfate (lPGS) from the viewpoint of stability and changes to association behavior. This analysis focuses on thermal stability, secondary-structure changes, and particle-size evolution using nano-differential scanning fluorimetry (nanoDSF), circular dichroism spectroscopy (CD), and dynamic light scattering (DLS).

Cell-penetrating peptides (CPPs) are widely used to deliver therapeutic cargoes into cells. Although numerous computational methods have been developed for identifying CPPs and several predictors are available for protein subcellular localization, no method has been developed to predict the subcellular localization of CPPs. Here, we present CPPLocPred, a hierarchical machine-learning (ML) framework that predicts CPPs and their subcellular localization. In the first stage, we developed ML models to identify CPPs, achieving an AUC of 0.953 with an MCC of 0.7842 on an independent set, exhibiting performance equivalent to or better than existing state-of-the-art methods. In the second stage, we developed a method for predicting the subcellular localization of CPPs. Subcellular localization methods were trained (80% data using five-fold cross-validation) and validated (20% data) on experimentally validated CPPs for 663 Cytoplasm, 287 Nucleus, 57 Mitochondria, 186 Endo_lysosome, and 328 Others. Our primary analysis revealed that Mitochondrial and Nuclear associated CPPs are abundant in positively charged arginine- and lysine-rich patterns, whereas Endo_lysosomal CPPs preferentially comprise glycine-, proline-, and cysteine-rich motifs. We used a wide range of traditional peptide features, along with the embedding of protein language models, to develop ML models. Among all evaluated models, the CatBoost-based subcellular localization models with Distance Distribution of Residues (DDR) achieved AUCs of 0.814, 0.775, 0.970, 0.782, and 0.798 for Cytoplasm, Nucleus, Mitochondria, Endo_lysosome, and Others, respectively, on validation dataset. We developed CPPLocPred, which offers a practical platform for functional annotation and rational design of localization-specific CPPs for therapeutic applications (https://webs.iiitd.edu.in/raghava/cpplocpred/). HighlightsO_LIPrediction and subcellular localization of cell-penetrating peptides. C_LIO_LILocalization of CPPs depends on their amino acid and dipeptide composition. C_LIO_LIBest feature for subcellular localization was Distance Distribution of Residues. C_LIO_LICatBoost model achieved the highest performance for subcellular localization. C_LIO_LIA web server and standalone software to facilitate its use by the scientific community. C_LI

Glycation, a non-enzymatic reaction occurring between sugars and biological macromolecules, plays a critical role in ageing and disease pathogenesis. Methylglyoxal (MG) is a highly reactive -oxoaldehyde that leads to the formation of endogenous advanced glycation end products (AGEs). These AGEs are associated with diabetes and many other diseases, including neurodegeneration and cancer. This is often through interactions with the receptor for advanced glycation end products (RAGE). Inhibition of glycation/AGEs formation using natural products to target cancer is an area of recent interest. In vitro AGEs formation was observed by browning of samples, increased fluorescence, and carbonyl stress. MG induced changes in the structure of BSA were analysed using electrophoresis, spectroscopy, TEM, AFM, DLS, and CD spectroscopy. Our results show that AGEs form random structures, oligomeric aggregates, and {beta}-sheets. Thioflavin T and Congo red staining further validated these findings. Galangin and Caffeic acid demonstrated significant antiglycation activity, suppressing AGEs formation in vitro. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=134 SRC="FIGDIR/small/737425v1_ufig1.gif" ALT="Figure 1"> View larger version (39K): org.highwire.dtl.DTLVardef@113b391org.highwire.dtl.DTLVardef@7208a1org.highwire.dtl.DTLVardef@94c2e1org.highwire.dtl.DTLVardef@867b85_HPS_FORMAT_FIGEXP M_FIG C_FIG HighlightsO_LIMethylglyoxal-induced Advanced Glycation End Products were prepared in vitro C_LIO_LIMethylglyoxal -induced structural modifications in BSA C_LIO_LIAGEs were characterised using various parameters C_LIO_LIBoth fluorescent and non-fluorescent AGEs were formed. C_LIO_LIPhytochemical treatment induced inhibition of AGEs formation C_LI

Keratin proteins are fundamental structural components of hair fibers, contributing to their mechanical resilience, elasticity, and fracture resistance. However, systematic molecular-scale characterization of keratin unfolding mechanics across protein types remains limited, restricting the connection between protein-level deformation mechanisms and hierarchical hair fiber mechanics. Here, we establish a comparative molecular-dynamics-based framework for characterizing the unfolding behavior and nanomechanical response of a curated dataset of 51 keratin proteins. We conduct implicit atomistic molecular dynamics (MD) simulations, including equilibration and steered molecular dynamics (SMD) under four accelerated pulling velocities, to quantify unfolding forces, energy absorption, and structure-property relationships. These accelerated pulling conditions are interpreted as computational probes of relative molecular-scale trends, rather than direct reproductions of experimental hair-fiber strain-rate regimes. Across these accelerated SMD conditions, the simulations show rate-sensitive increases in unfolding force and energy absorption, consistent with constrained molecular relaxation during faster molecular pulling. Stronger correlations between nanomechanical properties and molecular descriptors emerge at higher pulling rates, and the nanomechanical responses of different keratin types (Type I and II) are also compared. The findings provide molecular-level insights into protein unfolding mechanisms that may contribute to the mechanical behavior of hierarchical keratin structures. This study establishes a quantitative framework for comparative keratin unfolding mechanics, providing molecular-level descriptors for future multiscale modeling of hair fiber behavior. These results support applications in biomaterial design, hair fiber durability analysis, and bioinspired material engineering. Future work will integrate these nanomechanical descriptors with fiber-level mechanics and machine learning-based keratin design.

Mucopolysaccharidosis IIIC (Sanfilippo syndrome type C) is a rare lysosomal storage disorder caused by loss-of-function mutations in HGSNAT, which encodes an enzyme involved in heparan sulfate (HS) degradation, leading to impaired HS catabolism, lysosomal accumulation, and progressive neurodegeneration. Because enzyme replacement therapies have limited penetration across the blood-brain barrier, substrate-reduction therapy represents an alternative therapeutic strategy. Here, N-deacetylase/N-sulfotransferase 1 (NDST1), a key enzyme responsible for HS biosynthesis, was investigated as a potential substrate-reduction target. A structure-based computational pipeline was used to identify and evaluate inhibitors targeting the NDST1 sulfotransferase domain. Approximately 4.1 million drug-like compounds and FDA-approved drugs were screened by molecular docking, followed by pharmacokinetic filtering, molecular dynamics simulations, and MM/PBSA binding free energy calculations. In parallel, peptide binders targeting the same site were generated using diffusion-based protein design and evaluated using molecular dynamics and MM/GBSA analysis. Four chemically distinct small-molecule scaffolds and three peptide candidates were identified as stable binders to the NDST1 active site. The lead small-molecule candidate exhibited a predicted binding free energy of -13.36 {+/-} 5.87 kcal mol-1. These provide a focused set of candidates for further investigation and support the feasibility of targeting NDST1 as a substrate-reduction strategy for MPS IIIC.

Amyloid fibrils are traditionally associated with protein misfolding disorders; however, increasing evidence indicates that they can also perform beneficial biological functions, including antimicrobial defense. Here, we investigated whether structurally distinct amyloid polymorphs of hen egg white lysozyme (HEWL) exhibit enhanced antibacterial activity compared with the native protein. HEWL was converted into two amyloid polymorphs, flexible fibrils (FFs) and rigid fibrils (RFs), and their antibacterial activities were evaluated against the Gram-positive bacterium Staphylococcus aureus and the Gram-negative bacteria Escherichia coli (Top10) and Salmonella Typhimurium. Fibril formation was confirmed by circular dichroism (CD) spectroscopy, thioflavin T (ThT) fluorescence, and transmission electron microscopy (TEM), demonstrating morphologically distinct amyloid assemblies with different secondary-structure organizations. Fluorescence-based bacterial growth assays showed that native HEWL exhibited only moderate antibacterial activity, whereas both amyloid polymorphs produced potent, concentration-dependent bacterial growth inhibition. FFs and RFs consistently displayed greater antibacterial efficacy than native HEWL across all tested strains, with FFs exhibiting slightly stronger activity against S. Typhimurium. At concentrations of 600-800 M, FFs achieved >90% growth inhibition for all bacterial species examined. Cytotoxicity studies using SH-SY5Y human neuroblastoma cells demonstrated minimal toxicity for native HEWL, modest effects for FFs, and substantially greater toxicity for RFs, indicating that amyloid polymorphism influences both antimicrobial activity and mammalian cell compatibility. Collectively, these findings establish a direct relationship between amyloid structure, antibacterial efficacy, and cytotoxicity. The combination of potent antibacterial activity and relatively low cytotoxicity identifies FFs as a promising functional amyloid biomaterial for the development of next-generation antimicrobial materials.

Tissue regeneration using bioactive biomaterials has made great progress in the field of wound healing. Biopolymers play a cardinal role in regenerative medicine by providing safe, biocompatible and bioresorbable support. The electrospinning fabrication technique has been used in creating suitable wound care materials. PHBV and PLLA are FDA approved polymers having important applications in biomedical field. In this study, to increase the wound healing potential, PHBV was functionalized with -COOH group and electrospun nano-fibrous mat was produced using PHBV-COOH and PLLA blended solution. Antibiofilm peptide (IDR-1018) with immunomodulatory activity was incorporated into the blended solution to improve infected wound treatment by actively fighting against bacterial infections. Furthermore, in-vitro experiments including cell cytotoxicity assay and scratch wound healing assay were done to evaluate the potential of the synthesized bioactive nanofibrous mat as a potential wound management aid.

Cyclic oligosaccharides possess industrial advantages, including molecular encapsulation capability and high physicochemical stability, owing to the absence of a reducing end. Recently, a novel cyclic tetrasaccharide, cycloisomaltotetraose (CI4), consisting of four -1,6-linked glucose units, and the enzymes responsible for its synthesis, cycloisomaltotetraose glucanotransferases (CI4Tases), were discovered. Unlike known cycloisomaltooligosaccharide glucanotransferases (CITases) that yield a wide distribution of cyclic products with a degree of polymerization (DP) of 7 or higher, CI4Tases strictly produce CI4. To elucidate the molecular mechanism underlying this strict DP4 specificity, we determined the crystal structures of CI4Tase from Agreia sp. D1110, in its ligand-free form, as well as in complex with the linear hydrolysis product isomaltotetraose (IG4) and with CI4. Structural comparisons revealed that a loop (M247 to R251) blocks the region corresponding to the -5 subsite of typical CITases, narrowing the substrate-binding pocket. This "molecular ruler" mechanism ensures that only a glycan chain of exactly four glucose units is accommodated for cyclization. Among mutants of the residue positioned at the center of bound CI4, the formation of by-products other than CI4 was significantly suppressed in F245L, F245A, and F245W. While the cyclization activity of all F245 mutants decreased, the CI4 hydrolysis activity of these three mutants was also significantly reduced, resulting in an increased specificity for cyclic sugar production. These findings elucidate the strict size-control mechanism of CI4Tase and provide a structural foundation for engineering cycloisomaltooligosaccharide-producing enzymes with optimized transglycosylation efficiency and specificity for industrial applications.

Plant-derived small molecules possess highly diverse physicochemical properties, and the computational design of their protein recognition elements depends not only on the global structural quality of candidate backbones, but also on whether the local binding pocket, ligand-contact pattern, and predefined recognition conformation can be consistently retained after sequence design and structural back-prediction. To explore pocket-design strategies for different types of natural-product small molecules, this study selected capsaicin, (4R)-limonene, and quercetin as model ligands, representing a flexible amphipathic molecule, a compact hydrophobic monoterpene, and a rigid polyphenolic flavonoid scaffold, respectively, and covering the dimensions of pungent sensory flavor, volatile aroma, and flavonoid functional constituents. A ligand- physicochemical-property-guided computational design and multi-stage prioritization framework was established for candidate protein binders. The results showed that candidates with favorable initial global structural scores did not necessarily form reasonable local small-molecule binding pockets, indicating that evaluation of the local ligand environment is essential for candidate prioritization. After screening, 31 partial- pocket candidate backbones for capsaicin, 75 buried hydrophobic-pocket candidate backbones for (4R)-limonene, and 56 pocket-qualified candidate backbones for quercetin were obtained. Further sequence design and structural back-prediction analyses indicated that a subset of candidates could maintain the original pocket geometry and major ligand-contact patterns after sequence realization. Overall, these results suggest that the physicochemical properties of different plant-derived small molecules substantially influence the efficiency of de novo protein pocket formation, with compact hydrophobic ligands being more compatible with buried hydrophobic- pocket strategies, whereas flexible or multipolar ligands require a more refined balance between hydrophobic burial and polar exposure. This study provides a pre- experimental computational prioritization framework for natural-product small- molecule-recognizing proteins and offers candidate resources for subsequent protein expression, in vitro binding validation, active-constituent enrichment, and development of small-molecule biorecognition tools. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=107 SRC="FIGDIR/small/743643v1_ufig1.gif" ALT="Figure 1"> View larger version (50K): org.highwire.dtl.DTLVardef@8fe6c2org.highwire.dtl.DTLVardef@176cef2org.highwire.dtl.DTLVardef@10c8201org.highwire.dtl.DTLVardef@2b28cf_HPS_FORMAT_FIGEXP M_FIG C_FIG

The potassium channel Kesv encoded by the Ectocarpus siliculosus virus (Kesv 1) differs by seven amino acid residues from its host-derived homolog (Kesv 2), resulting from lysogenic integration. When expressed in Xenopus laevis oocytes, Kesv 1 displayed significantly higher ion conductance and functional expression than Kesv 2, as demonstrated by GFP fluorescence and voltage clamp measurements. This study provides the first structural and functional analysis of Kesv 2, uncovering key differences between the original and host-derived variant. The systematic residue substitutions - based on location- from Kesv 2 to the corresponding residues in Kesv 1 illustrated that two amino acid exchanges in close proximity to the pore region (Q61H and T66A), albeit not individually but in combination, significantly resulted in a loss-of-function phenotype in Kesv 1. AlphaFold predictions and subsequent molecular dynamics simulations did not reveal significant differences between Kesv 1 and Kesv 2 structural models, suggesting that the loss of function cannot be attributed to differences at the structural level. Instead, a reduced surface expression of Kesv 2, caused by the sequence modulations in the brown algal host, appears more plausible. Notably, the pharmacological profiling with Linopirdine and Sotalol highlights differences in drug sensitivity, establishing these minimalist channels (core channel structure without regulatory domains) as tractable models for dissecting novel fundamental principles of ion channel function and drug interaction, while highlighting key differences from more complex channel systems. Significance StatementPotassium channels are essential for cellular excitability, yet their large size and structural complexity limit our understanding of the core features underlying channel function. Here, we identified and established an orthologous model to compare the effects of evolutionarily acquired mutations in two voltage-sensing potassium channels-the viral potassium channel from Ectocarpus siliculosus virus (Kesv 1) and its host-homolog derivative (Kesv 2) as simplified model systems for understanding ion channel physiology and host-viral interactions. We provide the first functional characterization of Kesv 2 in Xenopus laevis oocytes using two-electrode voltage-clamp and site-directed mutagenesis, revealing that, despite sharing an identical SVGYG selectivity-filter motif and differing by only 7 residues, they exhibit distinct ion-conduction properties.