Comprehensive characterization and optimization of Caco-2 cells enabled the development of a miniaturized 96-well permeability assay.

Assessment of compound permeability through a Caco-2 cell monolayer is a well-accepted model to evaluate its in-vivo permeability potential and transporter interaction. While this assay has commonly been conducted using a 24-well assay plate format, a miniaturised 96-well assay format is highly desirable to achieve greater capacity and higher efficiency.Previous attempts to convert this assay from 24-well to 96-well format at our lab, however, had met with varied efflux capacities and unacceptable efflux ratios for digoxin, a substrate of P-glycoprotein (Pgp), which indicated inadequate Pgp transporter expression in the 96-well format.These challenges in converting the assays were attributed to the heterogeneous and unstable nature of the Caco-2 cells. To overcome the challenges, single-cell sorting of Caco-2 cells was conducted by flow cytometry to obtain a more homogeneous and stable cell population. The sorted cells were then seeded to 96-well transwell plates and the Pgp expression under various cell culture conditions was monitored by a LC-MS/MS-based targeted proteomics method.Through cell sorting and direct Pgp expression measurement, Caco-2 cells with adequate and sustained Pgp expression in a 96-well format were obtained, which led to the successful development and implementation of a 96-well Caco-2 assay with significant efficiency gain and faster turnaround time than the historical 24-well assay.

Investigation of Potential Antioxidant, Thrombolytic and Neuropharmacological Activities of Homalomena aromatica Leaves Using Experimental and In Silico Approaches.

The leaves of Homalomena aromatica are traditionally used in Bangladesh for the treatment of different chronic ailments. The purpose of this study was to explore in vitro antioxidant, thrombolytic activities, and in vivo neuropharmacological effects of methanolic extract of Homalomena aromatica (MEHA) leaves. Antioxidant activity of MEHA was assessed by a DPPH free radical scavenging assay and total phenolics content, total flavonoids content were also measured. The thrombolytic activity was determined by percentage of clot lysis and neuropharmacological activities by hole board, tail suspension, forced swimming and elevated plus maze tests. The results showed that the IC50 value of the extract against DPPH was 199.51 µg/mL. Quantitative analysis displayed higher contents of phenolics and flavonoids (147.71 mg gallic acid equivalent/g & 66.65 mg quercetin equivalent/g dried extract, respectively). The extract also showed a significant clot lysis (33.31%) activity. In case of anxiolytic activity, the elevate plus maze (EPM) test demonstrated an increase in time spent in open arms, and in case of hole board test, the number of head dipping was also significantly increased (p < 0.05). All the test compared with control (1% Tween in water) and standard (diazepam 1 mg/kg), significant dose (200 & 400 mg/kg) dependent anxiolytic activity was found. In antidepressant activity, there was a significant decrease in period of immobility in both test models (tail suspension and forced swimming) (p < 0.05). Moreover, 13 compounds were identified as bioactive, showed good binding affinities to xanthine oxidoreductase, tissue plasminogen activator receptor, potassium channel receptor, human serotonin receptor targets in molecular docking experiments. Furthermore, ADME/T analysis revealed their drug-likeness, likely pharmacological actions and non-toxic upon consumption. Taken together, our finding support the traditional medicinal use of this plant, which may provide a potential source for future drug discovery.

Ebselen suitably interacts with the potential SARS-CoV-2 targets: an in-silico approach.

Ebselen (SPI-1005) is an active selenoorganic compound that can be found potential inhibitory activity against different types of viral infections such as zika virus, influenza A virus, HCV, and HIV-1; and also be found to exhibit promising antiviral activity against SARS-CoV-2 in cell-based assays but its particular target action against specific non-structural and structural proteins of SARS-CoV-2 is unclear to date. The purpose of this study is to evaluate the anti-SARS-CoV-2 efficacy of Ebselen along with the determination of the specific target among the 12 most common target proteins of SARS-CoV-2. AutoDock Vina in PyRx platform was used for docking analysis against the 12 selected SARS-CoV-2 encoded drug targets. ADME profiling was examined by using SwissADME online server. The stability of binding mode in the target active sites was evaluated using molecular dynamics (MD) simulation studies through NAMD and Desmond package software application. In this docking study, we recognized that Ebselen possesses the highest affinity to N protein (C domain) (PDB ID: 6YUN) and PLpro (PDB ID: 6WUU) among the selected SARS-CoV-2 targets showing -7.4 kcal/mol binding energy. The stability of Ebselen-6YUN and Ebselen-6WUU was determined by a 100 ns trajectory of all-atom molecular dynamics simulation. Structural conformation of these two complexes displayed stable root mean square deviation (RMSD), while root mean square fluctuations (RMSF) were also found to be consistent. This molecular docking study may propose the efficiency of Ebselen against SARS-CoV-2 to a significant extent which makes it a candidature of COVID-19 treatment.

Hybrid 2D/3D-quantitative structure-activity relationship and modeling studies perspectives of pepstatin A analogs as cathepsin D inhibitors.

AIM: Cathepsin D, one of the attractive targets in the treatment of breast cancer, has been implicated in HIV neuropathogenesis with potential proteolytic effects on chemokines. Methodology/result: Diverse modeling tools were used to reveal the key structural features affecting the inhibitory activities of 78 pepstatin A analogs. Analyses were performed to investigate the stability, rationality and fluctuation of the analogs. Results showed a clear correlation between the experimental and predicted activities of the analogs as well as the variation in their activities relative to structural modifications. CONCLUSION: The insight gained from this study offers theoretical references for understanding the mechanism of action of cathepsin D and will aid in the design of more potent and clinically-relevant drugs. Graphical abstract [Formula: see text].

Monitoring drug-serum protein interactions for early ADME prediction through Surface Plasmon Resonance technology.

Many molecules fail to reach the market due to poor pharmacokinetic (PK) properties, rendering the potential drug virtually unavailable for the primary target despite efficient administration to the body. PK properties of endogenous and exogenous compounds in mammals are dependent, among other factors, on their ability to interact with serum proteins. The extent of binding can greatly influence their ADME (adsorption, distribution, metabolism and execration) profile. Reliable and cost-effective bioavailability studies, early in the drug discovery process, can lead to an improvement of the success rate for compounds entering clinical trials. Optical biosensors based on surface plasmon resonance (SPR) detection emerged as an efficient approach to obtain large amounts of information about the binding of small molecules to serum proteins. Simple, automated and fast assays provide a good throughput, versatility and highly informative data output, rendering the methodology particularly suited for early screening. The ability to provide basic information on PK can be easily coupled to structure-activity relationship analysis. In this review, features of the technology and its employment for the study of serum protein-small molecule interactions are presented and discussed.

The Use of Rule-Based and QSPR Approaches in ADME Profiling: A Case Study on Caco-2 Permeability.

During the early ADME profiling the development of simple, interpretable and reliable in silico tools is very important. In this study, rule-based and QSPR approaches were investigated using a large Caco-2 permeability database. Three permeability classes were determined: high (H), moderate (M) and low (L). The main physicochemical properties related with permeability were ranked as follows: Polar Surface Area (PSA)>Lipophilicity (logP/logD)>Molecular Weight (MW)>number of Hydrogen Bond donors and acceptors>Ionization State>number of Rotatable Bonds>number of Rings. The best rule, based on the combination of PSA-MW-logD (3PRule), was able to identify the H, M and L classes with accuracy of 72.2, 72.9 and 70.6 %, respectively. Subsequently, a consensus system based on three voting binary classification trees was constructed. It accurately predicted 78.4/76.1/79.1 % of H/M/L compounds on training and 78.6/71.1/77.6 % on test set. Finally, the 3PRule and multiclassifier were validated with 23 drugs in a Caco-2 assay. The rule is very useful to improve assay design and prioritize the high absorption candidates. Meanwhile the QSPR model exhibits appropriate classification performance. Due to the simplicity, easy interpretation and accuracy, the 3PRule and consensus model developed here can be used in early ADME profiling.