compaRe can be used to optimize cytometric high-parameter immunophenotypic characterization of heterogeneous cell populations.

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.

NICEdrug.ch is a resource allowing systematic and large-scale computational analysis of drug biochemistry, enzymatic targets, and toxicity in the context of cellular metabolism.

A network of the gut chemical landscape predicts microbe-mediated biotransformation of foods and drugs and supports the generation of mechanistic hypotheses of microbiome metabolic phenotypes that shape human biology.

Imaging of neurons within the hippocampus, a memory region of the brain, reveals how the brain updates memories during different learning conditions compared to when learning is blocked by amnestic drugs.

Single-molecule tracking at scale, analyzing millions of cells and thousands of compounds per day, demonstrates that measuring protein motion provides mechanistic insights relevant to drug discovery.

Inhibition of dopamine D2 receptors reduces generalization between stimuli, possibly by reducing interactions between the hippocampus and midbrain.

Nearly a thousand diverse adaptive mutants converge into a handful of groups for which fitness responds the same way to environmental change.

Slow conformational changes after drug binding rationalize selectivity, affinity and long on-target residence time for kinase inhibitors.

Combined analyses of transcriptome and chromatin accessibility elucidated the mechanisms underlying cancer cell lines response to antitumor candidates and provided a versatile perturbation-informed basal signature able to predict drug sensitivity.