Journalism in Second Life

Our research seeks to understand the emerging journalism practiced in Second Life—a computer-generated alternative reality. Framed by postmodernism, this study uses an ideological analysis to evaluate the three Second Life newspapers: the Alphaville Herald, the Metaverse Messenger and the Second Life Newspaper. We suggest that journalism in Second Life focuses on community building and education, considers the influence of the on-line world to resident members\u27 off-line lives and raises important questions about freedom of expression

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