INM is a toxic halogen nitromethane and disinfection by-product that is very dangerous to the environment and human beings since it is highly cytotoxic and mutagenic. Here, we examine the adsorption of INM on pristine graphene (PG), monovacancy graphene (MVG), nitrogen-doped vacuity graphene (NVG), and boron-doped vacuity graphene (BVG) and their Fe-functionalized analogs (FeG, FNG, and FBG) using density functional theory (DFT). To explain the adsorption mechanism, adsorption energy calculations, Hirshfeld charge transfer analysis, and electronic structure evaluations, such as band gap, density of states (DOS), and partial DOS (PDOS), were used. INM shows poor physisorption on PG, MVG, and NVG, whereas BVG shows stronger chemisorption by direct bonding. Fe adsorption is very important in increasing the strength of adsorption and redistribution of charges which results in strong electronic structure alterations. Then Fe-doped vacancy graphene is explored with respect to band gap, DOS, and PDOS plots. INM is then adsorbed on the surface. Fe-doped vacancy graphene (FVG) exhibits the highest adsorption energy and the largest electronic modification which validates the fact that it is strongly chemisorptively interacting. These findings emphasize FVG as a promising and efficient material to remove toxic INM in the contaminated environment and to develop graphene-based adsorbents to clean up the environment.
All calculations were done in the DMol3 package of Materials Studio with a doubled numerical plus polarization (DNP) basis set and DFT semicore pseudopotentials (DSPP). The GGA-PBE functional was used with the DFT-D correction by Grimme which considered the effects of exchange-correlation and dispersion. Spin-unrestricted geometry optimizations were driven to strict energy (2.0 × 10−5 Ha) and force (4 × 10−3 Ha Å−1) convergence factors, on a grid of 6 × 6 × 1 Monkhorst Pack k-points. To assess charge transfer and bonding properties, Hirshfeld charge and Mayer bond order analyses were used.
To explore more silicon carbide structures with superior properties, a novel silicon carbide with a highly symmetric truncated octahedral structure, named Pm3n-SiC, was investigated using first-principles methods based on density functional theory (DFT). This silicon carbide structure belongs to the cubic crystal system and (text{PM}overline{3 }N) symmetry group. The results show that Pm3n-SiC has a formation enthalpy of − 0.321 eV. Its phonon dispersion spectrum exhibits no imaginary frequencies, and its independent elastic constants satisfy the mechanical stability criteria. This finding indicates that Pm3n-SiC is readily synthesizable and exhibits both dynamic and mechanical stability. According to Chen’s model, the Vickers hardness is estimated to be approximately 16.3 GPa, and the universal elastic anisotropy index (A^{U}) = 0.57, which is a medium-hardness anisotropic material. Band structure and optical property analysis revealed that Pm3n-SiC is an indirect bandgap semiconductor with a bandgap of 2.732 eV. It exhibits strong transmittance in both the infrared and visible light regions, indicating its potential for optoelectronic applications.
The calculations were performed using Density Functional Theory (DFT) as implemented in the Cambridge Sequential Total Energy Package (CASTEP). In this study, the material properties were analyzed using the GGA-PBE method. Since the PBE functional is generally known to underestimate bandgap values, the bandgap was also calculated using the HSE06 functional. Additionally, the elastic modulus was estimated using the Voigt–Reuss–Hill (VRH) approximation, and the Vickers hardness was evaluated based on Chen’s model.
Down syndrome is a genetic condition caused by trisomy of chromosome 21, leading to intellectual and physical disabilities. Overexpression of the dual-specificity tyrosine-phosphorylation-regulated kinase 1A (DYRK1A) gene, located on chromosome 21, plays a critical role in neurodevelopmental abnormalities and synaptic dysfunction associated with the disorder. Identifying regulatory mechanisms capable of suppressing DYRK1A expression represents a promising therapeutic strategy.
In this study, a consensus-based computational pipeline was employed to identify microRNAs (miRNAs) targeting DYRK1A. Candidate miRNAs were screened using three publicly accessible databases (miRDB, miRWalk, and TargetScan) with stringent score thresholds. Shortlisted miRNAs were further evaluated through hybridization energy analysis, RNA–RNA interaction validation, secondary structure prediction, exploratory protein–RNA docking with DYRK1A, long-timescale molecular dynamics (600 ns) simulations, and MM/PBSA binding free-energy calculations using the ff19SB force field.
Among the screened candidates, variants of hsa-miR-155-5p consistently emerged as the top miRNAs targeting DYRK1A. Their selection was supported by favorable hybridization energies, stable secondary structures, strong docking interactions with DYRK1A, low RMSD and RMSF values indicating structural stability during 600 ns molecular dynamics simulations, and highly favorable MM/PBSA binding free energies. Together, these metrics indicate robust and sustained interactions with the DYRK1A target.
The integrated computational analyses identify hsa-miR-155-5p as a potential post-transcriptional regulator of DYRK1A, suggesting its relevance as a therapeutic lead for Down syndrome. While these findings provide convergent in silico evidence, experimental validation is required to confirm the biological efficacy and specificity of the proposed miRNA candidates.
Human epidermal growth factor receptor (EGFR) controls many key signaling pathways associated with cell growth/survival and is a well-established druggable target of lung cancer. Previous studies have primarily focused on the extracellular ligand-binding domain (LBD) and intracellular kinase domain (KD) of EGFR, while its carboxy-terminal (CT) tail extended from the KD domain still remains largely unexplored to date. Considering that only the first ~ 80 CT residues (termed pkCT-tail) proximal to the KD are important for the kinase autoinhibition, we herein attempted to systematically investigate the structural basis, energetic property, and dynamic behavior of pkCT-tail as well as its role in EGFR activity and function
A 10-mer hotspot segment (residues 1009–1018) was identified to play an important role in mediating the intramolecular binding event of pkCT-tail to the KD domain, which is partially folded into an ordered, one-rounded helical conformation to tightly pack against the docking site of the KD domain. It is revealed that the Tyr1016 residue is a key anchor in the hotspot; its phosphorylation triggers the unbinding event of the hotspot segment, pkCT-tail, and even the whole CT-tail from the KD domain in a reversible manner. Several chemically stapled peptidic competitors were rationally designed as the potent binders of the KD domain and can compete with the native hotspot segment for the docking site. We demonstrated that both the intra-Tyr1016 phosphorylation and extra-peptidic competitors share a similar effect on EGFR, which can disrupt the native intramolecular interaction between the EGFR KD domain and pkCT-tail, thus unlocking the autoinhibitory state of the EGFR kinase. However, the peptidic competitors were observed to only moderately activate the kinase, imparting that the kinase activity is controlled by multiple factors rather than only the pkCT-tail.