Phys.org  August 20, 2024 The exponential growth of data is challenging to analyze and extract relevant and useful data. In chemistry there is a demand for tools that can visualize molecular datasets in a convenient graphical way. Researchers in Austria proposed a new, ready-to-use, multi-tool, and open-source framework for visualizing and navigating chemical space. The framework adhered to the low-code/no-code (LCNC) paradigm, provided a KNIME (KoNstanz Information MinEr) node, a web-based tool, and a Python package, making it accessible to a broad cheminformatics community. They demonstrated how this framework could be adapted for the visualization of chemical space and visual […]