The mystery of titan hunter: Rationalized striking of the MAPK pathway via Newly synthesized 6-Indolylpyridone-3-Carbonitrile derivatives.

MAPK pathway sparkles with RTK activation, passes through subsequent downstream RAS-RAF-MEK-ERK signaling cascades, with consequent direct and indirect CDK4/6 signaling activation, and ends with cell survival, division, and proliferation. However, the emergence of anomalies such as mutations or overexpression in one or more points of the pathway could lead to cancer development and drug resistance. Therefore, designing small inhibitors to strike multitudinous MAPK pathway steps could be a promising synergistic strategy to confine cancer. In this study, twelve 6-indolylpyridone-3-carbonitrile candidates were synthesized and assessed in vitro for antineoplastic activity using four cancer cell lines. The initial antiproliferative screening revealed that compounds 3g, 3h, and 3i were the most potent candidates (GI% Avg = 70.10, 73.94, 74.33%, respectively) compared to staurosporine (GI% Avg = 70.99%). The subsequent safety and selectivity assessment showed that 3h exhibited sub-micromolar inhibition against lung cancer cells (HOP-92 GI50 = 0.75 µM) and 13.7 times selectivity toward cancerous cells over normal cells. As a result, 3h was nominated for deep mechanistic studies which evidenced that compound 3h impressively blocks multiple keystones of the MAPK pathway with nanomolar potency (EGFRWT IC50 = 281 nM, c-MET IC50 = 205 nM, B-RAFWT IC50 = 112 nM, and CDK4/6 IC50 = 95 and 184 nM, respectively). Surprisingly, 3h showed a remarkable potency against mutated EGFR and B-RAF, being 4 and 1.3 more selective to the mutated enzymes over the wild-type forms (EGFRT790M IC50 = 69 nM and B-RAFV600E IC50 = 83 nM). Ultimately, combined molecular docking and molecular dynamics (MD) calculations were executed to inspect the mode of binding and the complex stability of 3h towards the keystones of the MAPK pathway.

Potential drug candidates as P-glycoprotein inhibitors to reverse multidrug resistance in cancer: an in silico drug discovery study.

The failure of chemotherapy in the treatment of carcinoma is mainly due to the development of multidrug resistance (MDR), which is largely caused by the overexpression of P-glycoprotein (P-gp/ABCB1/MDR1). Until recently, the 3D structure of the P-gp transporter has not been experimentally resolved, which restricted the discovery of prospective P-gp inhibitors utilizing in silico techniques. In this study, the binding energies of 512 drug candidates in clinical or investigational stages were assessed as potential P-gp inhibitors employing in silico methods. On the basis of the available experimental data, the performance of the AutoDock4.2.6 software to predict the drug-P-gp binding mode was initially validated. Molecular docking and molecular dynamics (MD) simulations combined with molecular mechanics-generalized Born surface area (MM-GBSA) binding energy computations were subsequently conducted to screen the investigated drug candidates. Based on the current results, five promising drug candidates, namely valspodar, dactinomycin, elbasvir, temsirolimus, and sirolimus, showed promising binding energies against P-gp transporter with ΔGbinding values of -126.7, -112.1, -111.9, -102.9, and -101.4 kcal/mol, respectively. The post-MD analyses revealed the energetical and structural stabilities of the identified drug candidates in complex with the P-gp transporter. Furthermore, in order to mimic the physiological conditions, the potent drugs complexed with the P-gp were subjected to 100 ns MD simulations in an explicit membrane-water environment. The pharmacokinetic properties of the identified drugs were predicted and demonstrated good ADMET characteristics. Overall, these results indicated that valspodar, dactinomycin, elbasvir, temsirolimus, and sirolimus hold promise as prospective P-gp inhibitors and warrant further invitro/invivo investigations.

In silico drug discovery of SIRT2 inhibitors from natural source as anticancer agents.

Sirtuin 2 (SIRT2) is a member of the sirtuin protein family, which includes lysine deacylases that are NAD+-dependent and organize several biological processes. Different forms of cancer have been associated with dysregulation of SIRT2 activity. Hence, identifying potent inhibitors for SIRT2 has piqued considerable attention in the drug discovery community. In the current study, the Natural Products Atlas (NPAtlas) database was mined to hunt potential SIRT2 inhibitors utilizing in silico techniques. Initially, the performance of the employed docking protocol to anticipate ligand-SIRT2 binding mode was assessed according to the accessible experimental data. Based on the predicted docking scores, the most promising NPAtlas molecules were selected and submitted to molecular dynamics (MD) simulations, followed by binding energy computations. Based on the MM-GBSA binding energy estimations over a 200 ns MD course, three NPAtlas compounds, namely NPA009578, NPA006805, and NPA001884, were identified with better ΔGbinding towards SIRT2 protein than the native ligand (SirReal2) with values of - 59.9, - 57.4, - 53.5, and - 49.7 kcal/mol, respectively. On the basis of structural and energetic assessments, the identified NPAtlas compounds were confirmed to be steady over a 200 ns MD course. The drug-likeness and pharmacokinetic characteristics of the identified NPAtlas molecules were anticipated, and robust bioavailability was predicted. Conclusively, the current results propose potent inhibitors for SIRT2 deserving more in vitro/in vivo investigation.

Methoxybenzamide derivative of nimesulide from anti-fever to anti-cancer: Chemical characterization and cytotoxicity.

The repurposing strategy of converting nimesulide from an anti-fever drug to an anti-cancer agent by modifying its main structure targeting HSP27 is gaining great attention these days. The goal of this study focuses on synthesizing a new nimesulide derivative with new ligands that have biological anti-cancer activities in different cancer models using the in-vitro assay. Nimesulide derivative L1 was synthesized, characterized by 1H NMR, 13C NMR, FTIR, melting point, mass spectra, and TGA analysis. A single crystal was diffracted and showed colorless block group P-1. The results revealed that L1 demonstrates potent anti-cancer activity with lung (H292), ovarian (SKOV3), and breast (SKBR3) cancer cell lines in-vitro models with IC50 values below 8.8 µM.

Exploring Natural Product Activity and Species Source Candidates for Hunting ABCB1 Transporter Inhibitors: An In Silico Drug Discovery Study.

The P-glycoprotein (P-gp/ABCB1) is responsible for a xenobiotic efflux pump that shackles intracellular drug accumulation. Additionally, it is included in the dud of considerable antiviral and anticancer chemotherapies because of the multidrug resistance (MDR) phenomenon. In the search for prospective anticancer drugs that inhibit the ABCB1 transporter, the Natural Product Activity and Species Source (NPASS) database, containing >35,000 molecules, was explored for identifying ABCB1 inhibitors. The performance of AutoDock4.2.6 software to anticipate ABCB1 docking score and pose was first assessed according to available experimental data. The docking scores of the NPASS molecules were predicted against the ABCB1 transporter. Molecular dynamics (MD) simulations were conducted for molecules with docking scores lower than taxol, a reference inhibitor, pursued by molecular mechanics-generalized Born surface area (MM-GBSA) binding energy estimations. On the basis of MM-GBSA calculations, five compounds revealed promising binding affinities as ABCB1 inhibitors with ΔGbinding < −105.0 kcal/mol. The binding affinity and stability of the identified inhibitors were compared to the chemotherapeutic agent. Structural and energetical analyses unveiled great steadiness of the investigated inhibitors within the ABCB1 active site throughout 100 ns MD simulations. Conclusively, these findings point out that NPC104372, NPC475164, NPC2313, NPC197736, and NPC477344 hold guarantees as potential ABCB1 drug candidates and warrant further in vitro/in vivo tests.

Exploring Toxins for Hunting SARS-CoV-2 Main Protease Inhibitors: Molecular Docking, Molecular Dynamics, Pharmacokinetic Properties, and Reactome Study.

The main protease (Mpro) is a potential druggable target in SARS-CoV-2 replication. Herein, an in silico study was conducted to mine for Mpro inhibitors from toxin sources. A toxin and toxin-target database (T3DB) was virtually screened for inhibitor activity towards the Mpro enzyme utilizing molecular docking calculations. Promising toxins were subsequently characterized using a combination of molecular dynamics (MD) simulations and molecular mechanics-generalized Born surface area (MM-GBSA) binding energy estimations. According to the MM-GBSA binding energies over 200 ns MD simulations, three toxins-namely philanthotoxin (T3D2489), azaspiracid (T3D2672), and taziprinone (T3D2378)-demonstrated higher binding affinities against SARS-CoV-2 Mpro than the co-crystalized inhibitor XF7 with MM-GBSA binding energies of -58.9, -55.9, -50.1, and -43.7 kcal/mol, respectively. The molecular network analyses showed that philanthotoxin provides a ligand lead using the STRING database, which includes the biochemical top 20 signaling genes CTSB, CTSL, and CTSK. Ultimately, pathway enrichment analysis (PEA) and Reactome mining results revealed that philanthotoxin could prevent severe lung injury in COVID-19 patients through the remodeling of interleukins (IL-4 and IL-13) and the matrix metalloproteinases (MMPs). These findings have identified that philanthotoxin-a venom of the Egyptian solitary wasp-holds promise as a potential Mpro inhibitor and warrants further in vitro/in vivo validation.