The use of theory and simulation in undergraduate education in biochemistry, molecular
biology, and structural biology is now common, but the skills students need and the …

Machine learning, a subdomain of artificial intelligence, is a widespread technology that is
molding how chemists interact with data. Therefore, it is a relevant skill to incorporate into …

Analytical chemistry is a fast-paced field with frequent introduction of new techniques via
research labs; however, incorporation of new techniques into academic curricula lags their …

Here, students determine the total protein content in whey protein samples using the Lowry
assay. Quantitative analysis was carried out using absorbance measured at 750 nm …

With the growing desire to incorporate data science and informatics into STEM curricula,
there is an opportunity to integrate research-based software and tools (eg, Python) within …

Techniques from the branch of artificial intelligence known as machine learning (ML) have
been applied to a wide range of problems in chemistry. Nonetheless, there are very few …

Featured Application Cheminformatics is an emerging discipline of chemistry, and software
engineering has a central role in this multidisciplinary research field. The background of …

Primary literature searching and the utility of research articles in chemistry teaching and
instructions provide connections between conceptual understanding and the application of …

Cheminformatics is a widely used interdisciplinary field that is important for many chemistry
areas. Cheminformatics skills are necessary for dealing with a large amount of chemical …

Searching, retrieving, and analyzing chemical information are among the main tasks faced
by students and professionals in chemistry-related scientific disciplines. Currently, freely …