Results of a zebrafish whole-animal chemical screen for compounds that can rescue ear and myelination defects in an adhesion GPCR (Adgrg6/Gpr126) mutant.

A computational method identifies the functions of orphan enzymes by organizing them into metabolic pathways; the prediction of a new l-gulonate catabolic pathway is experimentally tested and confirmed.

A computational method that can screen thousands of chemicals and predict which odorants will interact with specific odorant receptors in flies may ultimately aid the development of more effective insect repellents.

A chemical biology approach has identified the kinase DYRK1A as a new regulator of the inflammatory response.

Deep learning combined with induced pluripotent stem cell technology is an effective method to interrogate cellular phenotypes and predict patterns of cardiotoxicity in vitro.

Large-scale mapping of sensory input to the mouse olfactory bulb reveals exceptionally narrow tuning of olfactory receptor input to glomeruli and defines a functional map of glomerular sensitivities that is structured with respect to olfactory chemical space.

The LOTUS initiative builds, through the Wikidata knowledge graph, a virtuous cycle of data sharing practices for natural products research.

A high-throughput microscopy screen for drugs that modulate SARS-CoV-2 spike-mediated membrane fusion identifies an essential role for cholesterol in both virus entry and syncytia formation.

Computational reaction representations and profile hidden Markov model searches of metagenomics databases can be harnessed to accurately predict bacterial species and enzyme sequences responsible for biotransformations in the human gut microbiome.