Application of Psychological Contract Theory in Mental Health and Professional Development of University Teachers.

Mental health is an important element of human public health. To investigate the respective causes of and the relationship between effort-reward imbalance and psychological anxiety of university teachers, the author, after making a targeted survey of more than 2000 questionnaires and conducting statistics and analysis of the survey data, discovers that the effort-reward imbalance has a significant effect on the anxiety of university teachers and meanwhile, effort-reward imbalance will indirectly affect the anxiety of university teachers through the breach of psychological contracts and thus directly affect the mental health of university teachers. To solve this problem, the author takes advantage of the psychological contract theory and designs a mental health improvement system for university teachers, that is, to pay more attention to the feeling of effort-reward balance of young university teachers, to give more care and help to teachers who have imbalance feelings, to take the maintenance of psychological contracts as an important starting point of the ideological work of young teachers in universities, and so on. Through the implementation of relevant systems, colleges and universities have effectively strengthened their ability to fulfill contracts, established convenient and unobstructed communication channels, prevented breach of psychological contracts of teachers, and prevented teachers from working at high exhaustion at the cost of their physical and mental health, which can finally improve the job satisfaction and professional development of university teachers and enable them to be devoted to higher education in better health.

Local and global effects of Mg2+ on Ago and miRNA-target interactions.

Three magnesium ions (Mg(2+)), named Mg1 (in Mid domain), Mg2 and Mg3 (both in PIWI domain), located at the small RNA binding domain of Argonaute (Ago) protein, are important for sequence-specific miRNA-target interactions. Such conjunction between the Ago protein and miRNA raises the question: How do Mg(2+) ions participate in the recognition process of miRNA by Ago or its target. Furthermore, it is still unclear whether the Mg(2+) ions contribute to the local or global stability of the miRNA complex. In this work, we have performed a series of 16 independent molecular dynamic simulations (MD) to characterize the functions of Mg(2+), hydration patterns and the conformational events involved in the miRNA-target interactions. The cross correlation analysis shows that Mg1 and Mg2 significantly enhance a locally cooperated movement of the PAZ, PIWI and Mid domains with the average correlation coefficient of ∼0.65, producing an "open-closed" motion (rotation Angle, 46.5°) between the PAZ and PIWI domains. Binding of Mg3 can globally stabilize the whole Ago protein with the average RMSD of ∼0.34 Å, compared with the systems in absence of Mg3 (average RMSD = ∼0.43 Å). Three structural water molecules surrounding the Mg(2+)-binding regions also stabilize these ions, thus facilitating the recognition of miRNA to its target. In addition, the thermodynamic analysis also verifies the positive contribution of all three Mg(2+) to the binding of miRNA to Ago, as well as the importance Mg2 plays in the cleavage of the miRNA targets.

Probing the structural requirements of A-type Aurora kinase inhibitors using 3D-QSAR and molecular docking analysis.

Aurora-A, the most widely studied isoform of Aurora kinase overexpressed aberrantly in a wide variety of tumors, has been implicated in early mitotic entry, degradation of natural tumor suppressor p53 and centrosome maturation and separation; hence, potent inhibitors of Aurora-A may be therapeutically useful drugs in the treatment of various forms of cancer. Here, we report an in silico study on a group of 220 reported Aurora-A inhibitors with six different substructures. Three-dimensional quantitative structure-activity relationship (3D-QSAR) studies were carried out using comparative molecular field analysis (CoMFA) and comparative molecular similarity indices analysis (CoMSIA) techniques on this series of molecules. The resultant optimum 3D-QSAR models exhibited an r (cv) (2) value of 0.404-0.582 and their predictive ability was validated using an independent test set, ending in r (pred) (2) 0.512-0.985. In addition, docking studies were employed to explore these protein-inhibitor interactions at the molecular level. The results of 3D-QSAR and docking analyses validated each other, and the key structural requirements affecting Aurora-A inhibitory activities, and the influential amino acids involved were identified. To the best of our knowledge, this is the first report on 3D-QSAR modeling of Aurora-A inhibitors, and the results can be used to accurately predict the binding affinity of related analogues and also facilitate the rational design of novel inhibitors with more potent biological activities.

Studies of H4R antagonists using 3D-QSAR, molecular docking and molecular dynamics.

Three-dimensional quantitative structure-activity relationship studies were performed on a series of 88 histamine receptor 4 (H4R) antagonists in an attempt to elucidate the 3D structural features required for activity. Several in silico modeling approaches, including comparative molecular field analysis (CoMFA), comparative similarity indices analysis (CoMSIA), molecular docking, and molecular dynamics (MD), were carried out. The results show that both the ligand-based CoMFA model (Q (2) = 0.548, R (ncv) (2) = 0.870, R (pre) (2) = 0.879, SEE = 0.410, SEP = 0.386) and the CoMSIA model (Q (2) = 0.526, R (ncv) (2) =0.866, R (pre) (2) = 0.848, SEE = 0.416, SEP = 0.413) are acceptable, as they show good predictive capabilities. Furthermore, a combined analysis incorporating CoMFA, CoMSIA contour maps and MD results shows that (1) compounds with bulky or hydrophobic substituents at positions 4-6 in ring A (R2 substituent), positively charged or hydrogen-bonding (HB) donor groups in the R1 substituent, and hydrophilic or HB acceptor groups in ring C show enhanced biological activities, and (2) the key amino acids in the binding pocket are TRP67, LEU71, ASP94, TYR95, PHE263 and GLN266. To our best knowledge, this work is the first to report the 3D-QSAR modeling of these H4R antagonists. The conclusions of this work may lead to a better understanding of the mechanism of antagonism and aid in the design of new, more potent H4R antagonists.

Isolation, biological evaluation and 3D-QSAR studies of insecticidal/narcotic sesquiterpene polyol esters.

For the first time, a set of (43) natural sesquiterpene polyol esters isolated from the root bark of Celastrus angulatus Maxim and Euonymus japonicus Thunb were subjected to 3D-QSAR comparative molecular field analysis (CoMFA) and comparative molecular similarity indices analysis (CoMSIA) studies, with the aim of proposing novel sesquiterpene-based compounds with optimal narcotic or insecticidal activities. The established 3D-QSAR models exhibit reasonable statistical quality and prediction capabilities, with internal cross-validated Q (2) values of ∼ 0.5 and external predicted R (2) values of >0.9, respectively. The relative contributions of the steric/electrostatic fields of the 3D-QSAR models show that the electronic effect governs the narcotic activities of the molecules, but the hybrid effect of the electrostatic and hydrophobic interactions is more influential in the insecticidal activities of the compounds. These findings may have valuable implications for the development of novel natural insecticides.

3D-QSAR and molecular docking studies on derivatives of MK-0457, GSK1070916 and SNS-314 as inhibitors against Aurora B kinase.

Development of anticancer drugs targeting Aurora B, an important member of the serine/threonine kinases family, has been extensively focused on in recent years. In this work, by applying an integrated computational method, including comparative molecular field analysis (CoMFA), comparative molecular similarity indices analysis (CoMSIA), homology modeling and molecular docking, we investigated the structural determinants of Aurora B inhibitors based on three different series of derivatives of 108 molecules. The resultant optimum 3D-QSAR models exhibited (q(2) = 0.605, r(2) (pred) = 0.826), (q(2) = 0.52, r(2) (pred) = 0.798) and (q(2) = 0.582, r(2) (pred) = 0.971) for MK-0457, GSK1070916 and SNS-314 classes, respectively, and the 3D contour maps generated from these models were analyzed individually. The contour map analysis for the MK-0457 model revealed the relative importance of steric and electrostatic effects for Aurora B inhibition, whereas, the electronegative groups with hydrogen bond donating capacity showed a great impact on the inhibitory activity for the derivatives of GSK1070916. Additionally, the predictive model of the SNS-314 class revealed the great importance of hydrophobic favorable contour, since hydrophobic favorable substituents added to this region bind to a deep and narrow hydrophobic pocket composed of residues that are hydrophobic in nature and thus enhanced the inhibitory activity. Moreover, based on the docking study, a further comparison of the binding modes was accomplished to identify a set of critical residues that play a key role in stabilizing the drug-target interactions. Overall, the high level of consistency between the 3D contour maps and the topographical features of binding sites led to our identification of several key structural requirements for more potency inhibitors. Taken together, the results will serve as a basis for future drug development of inhibitors against Aurora B kinase for various tumors.