In this study, multispectral analysis and molecular simulations were performed to investigate the interaction mechanism between phycocyanin (PC) and lysozyme (Lys). The interaction was examined using surface plasmon resonance (SPR), and the structural changes were analyzed using Fourier transform infrared (FTIR) spectroscopy, X-ray diffraction (XRD), and transmission electron microscopy (TEM). The results suggest that the interaction between PC and Lys was primarily driven by electrostatic, hydrophobic, and hydrogen bonding forces. Molecular dynamics (MD) simulation revealed that Lys preferentially binds between the two subunits, alpha (α) and beta (β), of PC, with residues ASP-13, GLU-106, and GLU-115 on PC and ARG-119, ARG-107, and ARG-98 on Lys being the main contributors to the binding interaction. Additionally, the formation of the PC-Lys complex resulted in increased kinetic and improved thermal stability of PC, which have important implications for PC applications.
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http://dx.doi.org/10.1016/j.foodchem.2023.138001 | DOI Listing |
Langmuir
January 2025
Department of Chemistry, Indian Institute of Technology Patna, Patna 801103, Bihar, India.
Polyoxometalates (POMs) are composed of nanometric metal-oxide anions and have rich solution chemistry. In this class, Keggin POMs have been identified as the most influential inorganic additives for aqueous nonionic soft matter systems. POMs being at the borderline of classical ions and charged colloids possess fascinating solution properties; the present work aims to delve deeper into the interactions between nanoions and nonionic soft matters from a spectroscopic point of view.
View Article and Find Full Text PDFNanotechnology
January 2025
Nanjing Medical University, Department of Neurosurgery, The Affiliated Huaian No.1 People's Hospital of Nanjing Medical University, Nanjing, 210029, CHINA.
Glioblastoma (GBM) is a malignant tumor with highly heterogeneous and invasive characteristics leading to a poor prognosis. The CD44 molecule, which is highly expressed in GBM, has emerged as a highly sought-after biological marker. Therapeutic strategies targeting the cell membrane protein CD44 have emerged, demonstrating novel therapeutic potential.
View Article and Find Full Text PDFInorg Chem
January 2025
College of Chemistry and Chemical Engineering, Xi'an Shiyou University, Xi'an 710065, China.
Luminescent lanthanide compounds stand out for their distinctive characteristics including narrow emission bands, substantial Stokes shifts, high quantum yields, and unique luminescent colors. However, Ln is highly susceptible to vibrational quenching from X-H (X = O/N) high-energy oscillators in the embedded organic antenna, resulting in significant nonradiative energy dissipation of the D excited states of Ln. Herein, we introduce a strategy based on supramolecular interactions to modulate the nonradiative transitions in a new Zn-Tb heterometallic compound, [ZnTb(HL)(NO)Cl]·2CHCN·HO (), based on a phenyl-substituted pyrazolinone-modified salicylamide-imide ligand ().
View Article and Find Full Text PDFJ Chem Theory Comput
January 2025
The State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China.
Metal-organic frameworks (MOFs) hold great potential in gas separation and storage. Graph neural networks (GNNs) have proven effective in exploring structure-property relationships and discovering new MOF structures. Unlike molecular graphs, crystal graphs must consider the periodicity and patterns.
View Article and Find Full Text PDFBiomed Phys Eng Express
January 2025
Faculty of Information Technology, Beijing University of Technology, Beijing, People's Republic of China.
In fundus images, precisely segmenting retinal blood vessels is important for diagnosing eye-related conditions, such as diabetic retinopathy and hypertensive retinopathy or other eye-related disorders. In this work, we propose an enhanced U-shaped network with dual-attention, named DAU-Net, divided into encoder and decoder parts. Wherein, we replace the traditional convolutional layers with ConvNeXt Block and SnakeConv Block to strengthen its recognition ability for different forms of blood vessels while lightweight the model.
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