Motivation An essential part of drug discovery is the accurate prediction of the binding affinity of new compound-protein pairs. Most of the standard computational methods assume that compounds or proteins of the test data are observed during the training phase. However, in real-world situations, the test and training data are sampled from different domains with different distributions. To cope with this challenge, we propose a deep learning-based approach that consists of three steps. In the first step, the training encoder network learns a novel representation of compounds and proteins. To this end, we combine convolutional layers and LSTM layers so that the occurrence patterns of local substructures through a protein and a compound sequence are learned. Also, to encode the interaction strength of the protein and compound substructures, we propose a two-sided attention mechanism. In the second phase, to deal with the different distributions of the training and test domains, a feature encoder network is learned for the test domain by utilizing an adversarial domain adaptation approach. In the third phase, the learned test encoder network is applied to new compound-protein pairs to predict their binding affinity. Results To evaluate the proposed approach, we applied it to KIBA, Davis, and BindingDB datasets. The results show that the proposed method learns a more reliable model for the test domain in more challenging situations. Availability https://github.com/LBBSoft/DeepCDA

Objective: The aim of this study was to determine the possible association of oxidant/antioxidant status and recurrent aphthous stomatitis (RAS). Study design: The study consis ted of thirty-one patients with RAS and thirty-two healthy controls from whom saliva and blood samples were collected. Superoxide dismutase (SOD), glutathione peroxidase (GSHPx) and catalase (CAT) were measured in erythrocytes and total antioxidant status (TAS) was measured in plasma and saliva. Results: Erythrocyte SOD activity was significantly lower in RAS patients in comparison to healthy controls (P=0.012). No significant differences were found in erythrocyte GSHPx, CAT activities, and salivary and plasma TAS between RAS patients and control subjects (p>0.1). Conclusion: Changes in SOD activity may be important in the inflammatory reactions observed in RAS, but other tested defense systems such as CAT and GSHPx do not seem to play a primary role in the aetiopathogenesis of RAS. Moreover, the antioxidant system in saliva and plasma is not as affected as in erythrocytes in RAS patients, and therefore it may not be considered an appropriate indicator of the body's total antioxidant status.

The objective of this study was to investigate the association between the amount of superoxide anion, peroxynitrite as oxidative stress (OS) markers and total antioxidant capacity (TAC) with sperm DNA fragmentation in infertile men with abnormal semen parameters. Semen samples were obtained from 102 infertile couples and divided into groups with normal and abnormal semen parameters according to the World Health Organization (WHO). Peroxynitrite and superoxide anions were detected using spectrofluorometric assays combined with 2,7 dicholorofluorescein (DCF)-DA and 4-chloro-7-nitrobenzo-2-oxa -1, 3-diazole (NBD-CL). Colorimetric assay was used for evaluation of TAC, while DNA fragmentation was studied by using sperm chromatin dispersion test. Superoxide anion, peroxynitrite and DNA fragmentation were significantly higher in infertile couples with abnormal semen parameters as compared to infertile couples with normal semen (P < 0.01). TAC was significantly lower in infertile men with abnormal semen parameters (P < 0.01). There was also a significant positive correlation between OS markers with sperm DNA fragmentation (r = 0.59, P < 0.01 and r = 0.67, P < 0.01, respectively). We have found that imbalance between superoxide anion and peroxynitrite with antioxidant capacity in infertile men with abnormal sperm parameters is associated with higher sperm DNA fragmentation.

In the present study; DF, apoptosis and dysfunction of sperm MMP indicated negative relationship with sperm parameters. Although there was a negative correlation between early apoptosis and pregnancy rate, no significant correlation was observed between these parameters and ICSI outcomes.

Extract of African mistletoe has anti-diabetic and anti-hyperlipidemic effects in STZ-diabetic rats. AM may find clinical application in the amelioration of diabetes-induced lipid disorders.