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Using a neural network to predict how green fluorescent proteins respond to genetic mutations illuminates properties that could help design new proteins.

The oxidative state of a critical cysteine residue determines the enzymatic activity of a phosphatase involved in T-cell immune responses.

Engineering transfer RNAs to read codons consisting of four bases requires changes in tRNA that go beyond the anticodon sequence.

A new approach helps to assess the impact of accelerated epigenetic aging on the risk of cancer.

Conflicting evidence about how the brain processes social and individual learning stems from which type of information is presented as the primary source of knowledge during experiments.

Combining techniques that track blood oxygenation and biochemicals during neuronal activity reveals how the brain computes perceived and unperceived stimuli.

An artificial intelligence-based method can predict distinct conformational states of membrane transporters and receptors.

The efficiency with which ribosomes shift reading frames when decoding viral RNA may change over the course of an infection.

Fossils shed light on mating strategies in scorpionflies.

Mapping intermediate filaments in three dimensions reveals that the organization of these filaments differs across cell types.