NHPig is an EU-funded research project aimed at transforming non-clinical safety assessment by use of mini- and micropig models. The goal is to expand and share biological knowledge on mini- and micropig models and improve the translational understanding between pig models and non-human primates (NHPs) and humans with the possibility to use these pig models as viable alternatives to NHPs in the nonclinical safety testing.

ORIGIN (Learning Isoform Fingerprints to Discover the Molecular Diversity of Life) aims to discover and quantify protein isoforms systematically by a novel MS-based proteomics data analysis strategy.

DROP2AI (Drug Response Prediction using Proteomics and AI) is a BMBF funded project aiming to develop various ML and AI strategies for drug response prediction using proteomics expression data.

International doctoral program LRTN360 (360° leadership research-training network) aiming to chart out “The Proteomes that Feed the World”.

CLINSPECT-M unites an outstanding team of Munich-based experts in proteomics, medicine and bioinformatics to translate mass spectrometry-based proteomics into clinical practice.

The European Proteomics Infrastructure Consortium providing access (EPIC-XS) consists of a unified network of experienced access providers and research groups. The common goal is to facilitate the development and sustainability of proteomics exploration to all life science researchers within the European Union.

PROTrEIN is a European innovative and interdisciplinary research and training network to educate the next generation of researchers in computational proteomics.

The overarching aims of DIAS are to substantially extend the capabilities of ProteomicsDB, to integrate it with other important resources in the field and to develop a number of computational tools for the benefit of the scientific community.

The ProteomeTools project is a joint effort with the aim to translate the human proteome into molecular and digital tools for drug discovery, personalized medicine and life science research.