Fifteen derivatives of spirooxindole-4H-pyran (A 1 -A 15 ) were subjected to evaluate through intravenous infusion of pentylenetetrazole (PTZ) induced epilepsy mouse models. Four doses of the compounds (20, 40, 60, 80 mg/kg) were tested in comparison to diazepam as positive control. The resulted revealed that compounds A 3 and A 12 were the most active compounds and indicated signi cant anticonvulsant activity in the PTZ test. The tested compounds were prepared via a multicomponent reaction using graphene oxide (GO) based on the 1-(2-aminoethyl) piperazine as a novel heterogeneous organocatalyst. The prepared catalyst (GO-A.P.) was characterized using some diverse microscopic and spectroscopic procedures as well. The results showed high catalytic activity of the catalyst in the synthesis of spirooxindole-4H-pyran derivatives. The GO-A.P. catalyst was reusable at least for 5 times with no signi cant decrease in its catalytic action. In silico assessment of physico chemical activity of all compounds also were done which represented appropriate properties. Finally, molecular docking study was performed to achieve their binding a nities as γ-aminobutyric acid-A (GABA-A) receptor agonists as a plausible mechanism of their anticonvulsant action. Binding free energy values of the compounds represented strongly matched with biological activity.

The main protease of SARS-CoV-2 is a critical target for the design and development of antiviral drugs. 2.5 M compounds were used in this study to train an LSTM generative network via transfer learning in order to identify the four best candidates capable of inhibiting the main proteases in SARS-CoV-2. The network was fine-tuned over ten generations, with each generation resulting in higher binding affinity scores. The binding affinities and interactions between the selected candidates and the SARS-CoV-2 main protease are predicted using a molecular docking simulation using AutoDock Vina. The compounds selected have a strong interaction with the key MET 165 and Cys145 residues. Molecular dynamics (MD) simulations were run for 150ns to validate the docking results on the top four ligands. Additionally, root-mean-square deviation (RMSD), root-mean-square fluctuation (RMSF), and hydrogen bond analysis strongly support these findings. Furthermore, the MM-PBSA free energy calculations revealed that these chemical molecules have stable and favorable energies, resulting in a strong binding with Mpro's binding site. This study's extensive computational and statistical analyses indicate that the selected candidates may be used as potential inhibitors against the SARS-CoV-2 in-silico environment. However, additional in-vitro, in-vivo, and clinical trials are required to demonstrate their true efficacy.

The solubility of ferrocene in various organic solvents is important because of its application in chemical process and its role as a standard electrochemical probe in nonaqueous systems. A multilinear quantitative structure property relationship (QSPR) model based on theoretical descriptors and a new linear solvation energy relationship (LSER) model based on empirical scales of solvents are suggested for Ostwald solubility coefficient of ferrocene in 35 organic solvents. The constructed models were validated using different statistical approaches such as internal validation and external test set. In addition to excellent external prediction ability, QSPR and LSER models covered 94 and 92% of cross-validated variance, respectively. The proposed models confirmed the role of polar interactions and basicity of solvents during the solvation of ferrocene in organic phase.

Thirteen novel isatin-ampyrone Schiff bases derivatives were synthesized in only two steps of 70%-90% overall yields. In vitro cytotoxic activity of these new Schiff bases against three human tumor cell lines (MCF-7, A549, and SCOV3) as well as normal breast cell line (MCF-10A) were evaluated by MTT assay. Structure-activity relationship of the tested compounds revealed that chlorine group at C-5 position of the isatin ring significantly increased the cytotoxic activity. This study generally led to introduce a highly active molecule (M 12 ) with IC 50 values of 5.12, 25.5, and 12.9 μΜ, on MCF-7, A549, and SCOV3, respectively. Furthermore, molecular docking studies of the synthesized compounds were also done to investigate their binding modes towards VEGFR-2 and JNK3-MAP kinase as the main targets for isatin-containing anticancer agents. Binding free energy values of the compounds showed positive correlation with their cytotoxic activities. To confirm the docking results, molecular docking simulations of potent compound (M 12 ) against VEGFR-2 and JNK3 MAP kinase were also performed. According to the cytotoxic results and in silico ADMET predictions together, M 12 can be considered as a potent candidate for the future anticancer studies.

The main protease of SARS-CoV-2 is one of the key targets to develop and design antiviral drugs. There is no general agreement on the use of non-steroidal anti-inflammatory drugs (NSAIDs) in COVID-19. In this study, we investigated NSAIDs as potential inhibitors for chymotrypsin-like protease (3CLpro) and the main protease of the SARS-CoV-2 to find out the best candidates, which can act as potent inhibitors against the main protease. We also predicted the effect of NSAIDs on the arachidonic pathway and evaluated the hepatotoxicity of the compounds using systems biology techniques. Molecular docking was conducted via AutoDock Vina to estimate the interactions and binding affinities between selected NSAIDs and the main protease. Molecular docking results showed the presence of 10 NSAIDs based on lower binding energy (kcal/mol) toward the 3CLpro inhibition site compared to the co-crystal native ligand Inhibitor N3 (−6.6 kcal/mol). To validate the docking results, molecular dynamic (MD) simulations on the top inhibitor, Talniflumate, were performed. To obtain differentially-expressed genes under the 27 NSAIDs perturbations, we utilized the L1000 final Z-scores from the NCBI GEO repository (GSE92742). The obtained dataset included gene expression profiling signatures for 27 NSAIDs. The hepatotoxicity of NSAIDs was studied by systems biology modeling of Disturbed Metabolic Pathways. This study highlights the new application of NSAIDs as anti-viral drugs used against COVID-19. NSAIDs may also attenuate the cytokine storm through the downregulation of inflammatory mediators in the arachidonic acid pathway.