We report the first account of a comparative analysis of the binding affinities of nine FDA-approved drugs against subtype B as well as the South African subtype C HIV PR (C-SA). A standardized protocol was used to generate the inhibitor/C-SA PR complexes with the relative positions of the inhibitors taken from the corresponding X-ray structures for subtype B complexes. The dynamics and stability of these complexes were investigated using molecular dynamics calculations. Average relative binding free energies for these inhibitors were calculated from the molecular dynamics simulation using the molecular mechanics generalized Born surface area method. The calculated energies followed a similar trend to the reported experimental binding free energies. Postdynamic hydrogen bonding and electrostatic interaction analysis of the inhibitors with both subtypes reveal similar interactions. Most inhibitors show slightly weaker binding affinities for C-SA PR. Molecular dynamics studies demonstrated increased flap movement for C-SA PR, which can perhaps explain the weaker affinities. This study serves as a standardized platform for optimizing the design of future more potent HIV C-SA PR inhibitors.

Dendrimers have emerged as novel and efficient materials that can be used as therapeutic agents/drugs or as drug delivery carriers to enhance therapeutic outcomes. Molecular dendrimer interactions are central to their applications and realising their potential. The molecular interactions of dendrimers with drugs or other materials in drug delivery systems or drug conjugates have been extensively reported in the literature. However, despite the growing application of dendrimers as biologically active materials, research focusing on the mechanistic analysis of dendrimer interactions with therapeutic biological targets is currently lacking in the literature. This comprehensive review on dendrimers over the last 15 years therefore attempts to identify the reasons behind the apparent lack of dendrimer-receptor research and proposes approaches to address this issue. The structure, hierarchy and applications of dendrimers are briefly highlighted, followed by a review of their various applications, specifically as biologically active materials, with a focus on their interactions at the target site. It concludes with a technical guide to assist researchers on how to employ various molecular modelling and computational approaches for research on dendrimer interactions with biological targets at a molecular level. This review highlights the impact of a mechanistic analysis of dendrimer interactions on a molecular level, serves to guide and optimise their discovery as medicinal agents, and hopes to stimulate multidisciplinary research between scientific, experimental and molecular modelling research teams.

Background and aimThe challenges with current antimicrobial drug therapy and resistance remain a significant global health threat. Nanodrug delivery systems are playing a crucial role in overcoming these challenges and open new avenues for effective antimicrobial therapy. While fluticasone (FLU), a poorly water-soluble corticosteroid, has been reported to have potential antimicrobial activity, approaches to optimize its dissolution profile and antimicrobial activity are lacking in the literature. This study aimed to combine an experimental study with molecular modeling to design stable FLU nanopolymeric particles with enhanced dissolution rates and antimicrobial activity.MethodsSix different polymers were used to prepare FLU nanopolymeric particles: hydroxyl propyl methylcellulose (HPMC), poly (vinylpyrrolidone) (PVP), poly (vinyl alcohol) (PVA), ethyl cellulose (EC), Eudragit (EUD), and Pluronics®. A low-energy method, nanoprecipitation, was used to prepare the polymeric nanoparticles.Results and conclusionThe combination of HPMC-PVP and EUD-PVP was found most effective to produce stable FLU nanoparticles, with particle sizes of 250 nm ±2.0 and 280 nm ±4.2 and polydispersity indices of 0.15 nm ±0.01 and 0.25 nm ±0.03, respectively. The molecular modeling studies endorsed the same results, showing highest polymer drug binding free energies for HPMC-PVP-FLU (−35.22 kcal/mol ±0.79) and EUD-PVP-FLU (−25.17 kcal/mol ±1.12). In addition, it was observed that Ethocel® favored a wrapping mechanism around the drug molecules rather than a linear conformation that was witnessed for other individual polymers. The stability studies conducted for 90 days demonstrated that HPMC-PVP-FLU nanoparticles stored at 2°C–8°C and 25°C were more stable. Crystallinity of the processed FLU nanoparticles was confirmed using differential scanning calorimetry, powder X-ray diffraction analysis and TEM. The Fourier transform infrared spectroscopy (FTIR) studies showed that there was no chemical interaction between the drug and chosen polymer system. The HPMC-PVP-FLU nanoparticles also showed enhanced dissolution rate (P<0.05) compared to the unprocessed counterpart. The in vitro antibacterial studies showed that HPMC-PVP-FLU nanoparticles displayed superior effect against gram-positive bacteria compared to the unprocessed FLU and positive control.

Molecular dynamics simulations and binding free energy calculations were used to provide an understanding of the impact of active site drug-resistant mutations of the South African HIV protease subtype C (C-SA HIV PR), V82A and V82F/I84V on drug resistance. Unique per-residue interaction energy 'footprints' were developed to map the overall drug-binding profiles for the wild type and mutants. Results confirmed that these mutations altered the overall binding landscape of the amino acid residues not only in the active site region but also in the flaps as well. Four FDA-approved drugs were investigated in this study; these include ritonavir (RTV), saquinavir (SQV), indinavir (IDV), and nelfinavir (NFV). Computational results compared against experimental findings were found to be complementary. Against the V82F/I84V variant, saquinavir, indinavir, and nelfinavir lose remarkable entropic contributions relative to both wild-type and V82A C-SA HIV PRs. The per-residue energy 'footprints' and the analysis of ligand-receptor interactions for the drug complexes with the wild type and mutants have also highlighted the nature of drug interactions. The data presented in this study will prove useful in the design of more potent inhibitors effective against drug-resistant HIV strains.

Soil salinity is significant abiotic stress that severely limits global crop production. Chickpea (Cicer arietinum L.) is an important grain legume that plays a substantial role in nutritional food security, especially in the developing world. This study used a chickpea population collected from the International Center for Agricultural Research in the Dry Area (ICARDA) genebank using the focused identification of germplasm strategy. The germplasm included 186 genotypes with broad Asian and African origins and genotyped with 1856 DArTseq markers. We conducted phenotyping for salinity in the field (Arish, Sinai, Egypt) and greenhouse hydroponic experiments at 100 mM NaCl concentration. Based on the performance in both hydroponic and field experiments, we identified seven genotypes from Azerbaijan and Pakistan (IGs: 70782, 70430, 70764, 117703, 6057, 8447, and 70249) as potential sources for high salinity tolerance. Multi-trait genome-wide association analysis (mtGWAS) detected one locus on chromosome Ca4 at 10618070 bp associated with salinity tolerance under hydroponic and field conditions. In addition, we located another locus specific to the hydroponic system on chromosome Ca2 at 30537619 bp. Gene annotation analysis revealed the location of rs5825813 within the Embryogenesis-associated protein (EMB8-like), while the location of rs5825939 is within the Ribosomal Protein Large P0 (RPLP0). Utilizing such markers in practical breeding programs can effectively improve the adaptability of current chickpea cultivars in saline soil. Moreover, researchers can use our markers to facilitate the incorporation of new genes into commercial cultivars.

Twenty-three wheat genotypes were evaluated for stripe and leaf rusts, caused by Puccinia striiformis f. sp. tritici and Puccinia triticina f. sp. tritici, respectively, at seedling and adult stages under greenhouses and field conditions during the 2019/2020 and 2020/2021 growing seasons. The race analysis revealed that 250E254 and TTTST races for stripe and leaf rusts, respectively were the most aggressive. Eight wheat genotypes (Misr-3, Misr-4, Giza-171, Gemmeiza-12, Lr34/Yr18, Lr37/Yr17, Lr46/Yr29, and Lr67/Yr46) were resistant to stripe and leaf rusts at seedling and adult stages. This result was confirmed by identifying the resistance genes: Lr34/Yr18, Lr37/Yr17, Lr46/Yr29, and Lr67/Yr46 in these genotypes showing their role in the resistance. Sids-14 and Shandweel-1 genotypes were susceptible to stripe and leaf rusts. Twelve crosses between the two new susceptible wheat genotypes and the three slow rusting genes (Lr34/Yr18, Lr37/Yr17, and Lr67/Yr46) were conducted. The frequency distribution of disease severity (%) in F2 plants of the twelve crosses was ranged from 0 to 80%. Resistant F2 plants were selected and the resistance genes were detected. This study is important for introducing new active resistance genes into the breeding programs and preserving diversity among recently released wheat genotypes.

BackgroundThe aim of this study was to prepare and evaluate the impact of polymers on fabricating stable dexibuprofen (Dexi) nanocrystals with enhanced therapeutic potential, using a low energy, anti-solvent precipitation method coupled with molecular modelling approach.MethodsDexi nanocrystals were prepared using antisolvent precipitation with syringe pump. Crystallinity of the processed Dexi particles was confirmed using differential scanning calorimetry and powdered X-ray diffraction and transmission electron microscopy. Dissolution of Dexi nanocrystals was compared with raw Dexi and marketed tablets. Molecular modelling study was coupled with experimental studies to rationalise the appropriate polymers for stable Dexi nanocrystals. Antinociceptive study was carried out using balb mice.ResultsCombinations of hydroxypropyl methylcellulose (HPMC)–polyvinyl pyrrolidone (PVP) and HPMC–Eudragit (EUD) were shown to be very effective in producing stable Dexi nanocrystals with particle sizes of 85.0±2.5 nm and 90±3.0 nm, and polydispersity of 0.179±0.01, 0.182±0.02, respectively. The stability studies conducted for 90 days demonstrated that nanocrystals stored at 2°C–8°C and 25°C were more stable than those at 40°C. The maximum recovery of Dexi nanocrystals was observed from the formulations using the combination of HPMC–PVP and HPMC–EUD, which equated to 98% and 94% of the nominal active drug content respectively. The saturation solubility of the Dexi nanocrystals was substantially increased to 270.0±3.5 μg/mL compared to the raw Dexi in water (51.0±2.0 μg/mL) and stabilizer solution (92.0±3.0 μg/mL). Enhanced dissolution rate (P<0.05) was observed for the Dexi nanocrystals compared to the unprocessed drug substance and marketed tablets. Dexi nanocrystals produced the analgesic effect at much lower doses (5 mg/kg) than that of control standard, diclofenac sodium (20 mg/kg) and Dexi counterparts (40 mg/kg).ConclusionHPMC-PVP and HPMC-EUD were found the best polymer combination to stabilise Dexi nanocrystals. The Dexi nanocrystals exhibited significant dissolution, solubility and analgesic effect compared to the raw Dexi and the control standard diclofenac sodium.

Forty wheat leaf rust (Puccinia triticina) pathotypes were collected from eleven Egyptian governorates during the two growing seasons 2016/2017 and 2017/2018 were analyzed based on both virulence and molecular marker analysis. Virulence analysis was carried out on the basis of infection type of the tested pathotypes on 20 differential monogenic lines, each carrying single leaf rust resistance genes (Lr). Six simple sequence repeats (SSR) markers were used for molecular characterization of P. triticina to detect the genotypic variation among pathotypes. Almost all of the tested pathotypes were phenotypically and genetically varied that confirms a high diversity within Egyptian leaf rust populations. Cluster analysis based on both virulence analysis and molecular patterns classified the tested pathotypes to three main groups. A relatively weak correlation was found between virulence and molecular analysis (r = 0.03). High similarity was found between leaf rust populations in the three governorates; Sohag, Bani Sweif and Fayoum. Also, high similarity was found between leaf rust populations in the five; Egyptian governorates; Minufiya, Kafr-Elsheikh, Gharbiya, Alexandria and Qalyubia, while, wide variation was found between leaf rust populations of the three governorates; Beheira, Sharqiya and Dakahlia. The results of this study support using molecular markers analysis to estimate genetic diversity between P. triticina pathotypes.