Machine Learning Methods for Virus-Host Protein-Protein Interaction Prediction.

The attachment of a virion to a respective cellular receptor on the host organism occurring through the virus-host protein-protein interactions (PPIs) is a decisive step for viral pathogenicity and infectivity. Therefore, a vast number of wet-lab experimental techniques are used to study virus-host PPIs. Taking the great number and enormous variety of virus-host PPIs and the cost as well as labor of laboratory work, however, computational approaches toward analyzing the available interaction data and predicting previously unidentified interactions have been on the rise.

A correlation coefficient-based feature selection approach for virus-host protein-protein interaction prediction.

Prediction of virus-host protein-protein interactions (PPI) is a broad research area where various machine-learning-based classifiers are developed. Transforming biological data into machine-usable features is a preliminary step in constructing these virus-host PPI prediction tools. In this study, we have adopted a virus-host PPI dataset and a reduced amino acids alphabet to create tripeptide features and introduced a correlation coefficient-based feature selection.

Is participation in antenatal classes associated with fathers' mental health? A quasi-experimental and prospective study.

Background: In comparison to those conducted with women, studies about the transition of men to parenthood are limited in numbers, especially in developing countries. Moreover, in Turkey, along with gender roles and sociocultural changes, the roles of fathers are also changing. This change highlights the need to understand early parenthood for fathers.

Combined Application of Patient-Derived Cells and Biomaterials as 3D In Vitro Tumor Models.

Although advances have been made in cancer therapy, cancer remains the second leading cause of death in the U.S. and Europe, and thus efforts to continue to study and discover better treatment methods are ongoing.

The prevalence and associated factors of fear of childbirth among Turkish pregnant women.

Objective: This study was conducted to determine the prevalence of fear of childbirth and affecting factors in pregnant women in Turkey.

Materials And Methods: This was a cross-sectional study and included a total of 2025.    Pregnant Women Assessment, some variables related to previous and current perinatal processes and Wijma Delivery Expectancy/Experience Questionnaire (version A) were used for data collection.