Effects of Annealing and Residual Solvents on Amorphous P3HT and PBTTT Films

Organic thin film transistors (OTFT) are metal-insulator-semiconductor field-effect transistors in which the semiconductor is a conjugated organic material. They are the subject of intense industrial research because their fabrication process is less expensive when compared with inorganic TFTs. Among the others, the organic material mostly employed in their construction consists of two semiconductor polymers, namely poly(3-hexylthiophene) (P3HT) and poly(2,5-bis(3-alkylthiophen-2-yl)thieno[3,2-b]thiophene) (PBTTT). Despite the large amount of experimental efforts in the characterization of the electronic properties of these devices, several questions regarding their morphological arrangement in bulk and at interfaces remain wide open. Here, we report results obtained by classical molecular dynamics simulations of P3HT and PBTTT inspired by OTFT fabrication techniques. In particular, we investigate how the annealing fabrication process and the presence of residual solvent molecules left over after spin coating might modify the morphology and the dynamics of the amorphous phase of these two polymers. Simulations of both polymer deposits at 300 K after annealing show an increase in the number of interdigitation events between the alkyl chains of two polymeric macromolecules; moreover, we find that the increased stability of the pi-pi stacking is caused by an improved layering of the films, which may account for the better charge transport properties reported in experiments. Our results strongly suggest that thin semiconductor films are required to boost the performances of the devices and that a minimal presence of residual solvent does not alter dramatically the microscopic structure and stability of the polymeric films

Evaluation and comparison of benchmark QSAR models to predict a relevant REACH endpoint: the Bioconcentration Factor (BCF)

The bioconcentration factor (BCF) is an important bioaccumulation hazard assessment metric in many regulatory contexts. Its assessment is required by the REACH regulation (Registration, Evaluation, Au- thorization and Restriction of Chemicals) and by CLP (Classification, Labeling and Packaging). We chal- lenged nine well-known and widely used BCF QSAR models against 851 compounds stored in an ad-hoc created database. The goodness of the regression analysis was assessed by considering the determination coefficient (R2) and the Root Mean Square Error (RMSE); Cooper's statistics and Matthew's Correlation Coefficient (MCC) were calculated for all the thresholds relevant for regulatory purposes (i.e. 100 L/kg for Chemical Safety Assessment; 500 L/kg for Classification and Labeling; 2000 and 5000 L/kg for Persistent, Bioaccumulative and Toxic (PBT) and very Persistent, very Bioaccumulative (vPvB) assessment) to assess the classification, with particular attention to the models' ability to control the occurrence of false ne- gatives. As a first step, statistical analysis was performed for the predictions of the entire dataset; R240.70 was obtained using CORAL, T.E.S.T. and EPISuite Arnot–Gobas models. As classifiers, ACD and log P-based equations were the best in terms of sensitivity, ranging from 0.75 to 0.94. External compound predictions were carried out for the models that had their own training sets. CORAL model returned the best performance (R2ext1⁄40.59), followed by the EPISuite Meylan model (R2ext1⁄40.58). The latter gave also the highest sensitivity on external compounds with values from 0.55 to 0.85, depending on the thresholds. Statistics were also compiled for compounds falling into the models Applicability Domain (AD), giving better performances. In this respect, VEGA CAESAR was the best model in terms of regression (R21⁄40.94) and classification (average sensitivity40.80). This model also showed the best regression (R21⁄40.85) and sensitivity (average40.70) for new compounds in the AD but not present in the training set. However, no single optimal model exists and, thus, it would be wise a case-by-case assessment. Yet, integrating the wealth of information from multiple models remains the winner approach

Kidney CLC-K chloride channels inhibitors: structure-based studies and efficacy in hypertension and associated CLC-K polymorphisms.

Objective: Alterations in the handling of renal salt reabsorption may contribute to interindividual differences in blood pressure regulation and susceptibility to hypertension. CLC-K chloride channels and their accessory subunit barttin play a pivotal role in kidney by controlling chloride and water absorption. Compounds selective for CLC-Ks, such as the benzofuran derivative MT-189, may have a significant therapeutic potential. Here, we assessed the feasibility of using CLC-K blockers in hypertension and aimed at enhancing drug inhibitory affinity. Methods and results: We demonstrated that acute invivo administration of MT-189 to spontaneously hypertensive rats (SHR) caused a reduction of blood pressure and defined the CLC-K/barttin gene expression pattern in kidney of SHR in comparison with normotensive Wistar-Kyoto rats. Based on MT-189, we designed and tested a new series of benzofuran derivatives on CLC-K chloride channels heterologously expressed in HEK293 cells. These studies enabled us to elucidate the causative molecular relationship for obtaining the most potent and selective inhibitor (SRA- 36) described so far, with an IC50 of 6.6±1 mmol/l. The biophysical and pharmacological characterization of A447T CLC-Ka and Y315F CLC-Ka, both polymorphisms associated with hypertension, showed that SRA-36 is an efficacious inhibitor of the chloride currents sustained by these polymorphisms. Molecular docking studies allowed hypothesizing an inhibition mechanism for the considered ligands, laying the foundations for the rational design of new and more effective CLC-K inhibitors. Conclusion: The SRA-36 molecule represents a new potential therapeutic option for hypertension

Structural basis for specific inhibition of salicylate synthase from Mycobacterium abscessus

Blocking iron uptake and metabolism has been emerging as a promising therapeutic strategy for the development of novel antimicrobial compounds. Like all mycobacteria, M. abscessus (Mab) has evolved several countermeasures to scavenge iron from host carrier proteins, including the production of siderophores, which play a crucial role in these processes. In this study, we solved, for the first time, the crystal structure of Mab-SaS, the first enzyme involved in the biosynthesis of siderophores. Moreover, we screened a small, focused library and identified a compound exhibiting a potent inhibitory effect against Mab-SaS (IC50 ≈ 2 μM). Its binding mode was investigated by means of Induced Fit Docking simulations, performed on the crystal structure presented herein. Furthermore, cytotoxicity data and pharmacokinetic predictions revealed the safety and drug-likeness of this class of compounds. Finally, the crystallographic data were used to optimize the model for future virtual screening campaigns. Taken together, the findings of our study pave the way for the identification of potent Mab-SaS inhibitors, based on both established and unexplored chemotypes