AI is a viable alternative to high throughput screening: a 318-target study

: High throughput screening (HTS) is routinely used to identify bioactive small molecules. This requires physical compounds, which limits coverage of accessible chemical space. Computational approaches combined with vast on-demand chemical libraries can access far greater chemical space, provided that the predictive accuracy is sufficient to identify useful molecules. Through the largest and most diverse virtual HTS campaign reported to date, comprising 318 individual projects, we demonstrate that our AtomNet® convolutional neural network successfully finds novel hits across every major therapeutic area and protein class. We address historical limitations of computational screening by demonstrating success for target proteins without known binders, high-quality X-ray crystal structures, or manual cherry-picking of compounds. We show that the molecules selected by the AtomNet® model are novel drug-like scaffolds rather than minor modifications to known bioactive compounds. Our empirical results suggest that computational methods can substantially replace HTS as the first step of small-molecule drug discovery

Empowering Leadership of the Heads as Perceived by the Employees and Employees' Job Satisfaction

The study aimed to determine the effect of empowering leadership and the job satisfaction of employees. To support the purpose, the literature was reviewed and theories were established to strengthen the title of the study. The study followed a research methodology and the research design was the descriptive assessment and correlational research design. To gather the data, validated questionnaires were and descriptive and inferential statistics were used to analyze the data. Weighted mean and Pearson r correlation was used to determine the level of different variables of empowering leadership and the correlation between empowering leadership and job satisfaction. The results indicate that empowering leadership of heads and job satisfaction of employees is not very high or high but a moderate extent and there is a significant correlation between empowering leadership and job satisfaction. Therefore, the hypothesis of the study is accepted

Measuring the Work Values and Work Engagement of Employees: the Philippines Context

This study intended to determine the influence of work values on work engagement. To enrich the discussion on this particular topic, the literature was reviewed and theories were proposed on extrinsic and intrinsic work values. The study was intended for the employees of Divine Word Colleges in the Ilocos Region, Philippines. To gather the data, questionnaires were used and in interpreting the data, descriptive and inferential statistics were used such as weighted mean and Pearson r Correlation. Weighted mean was used to determine the level of work values such as extrinsic, intrinsic work values, and work engagement. While Pearson e was used to determine the correlation between work values and work engagement. The study found that employees of Divine Word Colleges view both values to be important and are considered high and their work engagement is also considered high. Finally, the study found that there is a correlation between work values and work engagement. Therefore the hypothesis is accepted