Cox

Matthias Mann, F.-Ulrich Hartl, Jürgen Cox and Peter Murray, are among the “Highly Cited Researchers” 2024. more

Researchers at the Max Planck Institute of Biochemistry (MPIB), together with colleagues from Madison, USA, found, how alternative splicing and single nucleotide substitutions are translated into protein-level changes. more

The new software MaxDIA improves data-independent acquisition (DIA) proteomics by providing a computational workflow that permits highly sensitive and accurate data analysis. more

Chronobiologists show in two articles in the journal Science how critical the sleep-wake cycle is for protein and phosphorylation dynamics in synapses to ultimately regulate its activity. more

The protein composition of cells depends on the cells’ function and current condition. Mass spectrometry (MS) can determine the identity and quantity of the proteins found in a sample. However, the data analysis of this method is time- and resource-intensive. Researchers at the Max Planck Institute of Biochemistry (MPIB) have collaborated with data science specialists from Verily in the USA to develop a machine learning approach – continuously self-improving algorithms – to facilitate the analysis of mass spectrometry data. Their results, which simplify MS applications and also led to the discovery of new chemical patterns in proteins, are published in the journal Nature Methods. more