/tag/data-science
In-Silico NCAA-Containing Peptide Design
Bacteria are an important type of human pathogen that can cause life-threatening infections. Increasingly, these microorganisms can survive the effects of antibiotics previously used to kill them. As bacteria become resistant to multiple kinds of antibiotics, the diseases they cause become ever more difficult to cure. Accordingly, infections caused by ‘multidrug-resistant’ (MDR) pathogens are associated with frequent treatment failures, high hospitalization costs, and substantial mortality. New therapeutics are needed to treat infections caused by MDR bacteria. Towards developing these critical countermeasures, our group has discovered a unique peptide that efficiently kills many of the most challenging antibiotic-resistant pathogens and also demonstrates therapeutic efficacy in pre-clinical animal models of bacterial infection.
Political Sentiment Analysis
The nature of political communication has been fundamentally altered by the emergence of social media. In earlier eras, social scientists, journalists, and citizens could focus on static statements by politicians and candidates in order to understand the nature of political discourse. Social scientists studying political communication would design surveys and focus groups to understand which messages were received by citizens, and with what effect. Today, as news moves to digital platforms and as political figures increasingly rely on social media, political communication is fundamentally dynamic. Studying patterns of communication among politicians, their supporters, and their critics requires scholarly focus on the content, sentiment, and framing of posts on various social media platforms.
