Blog

17/02/2022 - Journal Club
How to train your modified peptide MS/MS spectrum predictor?
This month’s PROTrEIN journal club covers an article presenting a tool – pDeep2 – capable of predicting MS/MS spectra of modified peptides.1 pDeep2 is built using a machine learning technique that makes it possible to generate prediction even when there are only a few datasets available for training the model. But… What is this machine learning […]

31/01/2022 - Journal Club
Ion mobility meets Deep Learning.
Proteomics can be simply defined as the large-scale analysis of proteins – all the meaningful genome products – in a given sample [1,2]. Mass spectrometry (MS)-based proteomics is one of the most powerful approaches for identifying proteins from biological samples. Over years, there were many proteomics workflows generated by scientists in this field. The development […]

16/12/2021 - News
Proteins form functional networks, and so do people – the first PROTrEIN summer school
The first PROTrEIN annual meeting and summer school took place between the 10th and 23rd of September 2021. Here our ESRs Marc and Mostafa share their thoughts and memories about it.

14/12/2021 - Journal Club
How to choose a proper combination of search engines to maximize Peptide and Protein Identification?
In this Journal Club, our ESRs Zahra and Arslan present the article «Optimization of Search Engines and Postprocessing Approaches to Maximize Peptide and Protein Identification for High-Resolution Mass Data» by C. Tu et al. from Sep 2015

14/10/2021 - Journal Club
How can proteomics data become more reproducible?
In this Journal Club, our ESRs Louise and Shamil present the article «Strategies to enable large-scale proteomics for reproducible research» by R. Poulos et al. from July 2020