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A Systematic Review on Bioethics in Proteomics

20/05/2022 - Journal Club

A Systematic Review on Bioethics in Proteomics

by Aditi Sharma and Marc Pauper

The moment to begin exercising control over the rules and regulations that will bind us tomorrow is soon. The time to begin thinking and talking about them is now. In this month’s Journal Club, we have decided to step away from technical topics such the latest advances in proteomics methodologies. Instead, we will approach a more “philosophic” […]

Adding the third dimension to protein modifications analysis

15/04/2022 - Journal Club

Adding the third dimension to protein modifications analysis

by Chiara Sopegno and Arthur Grimaud

Short description In the study of post-translational modifications from mass spectrometry experiments, proteins are almost always represented as a linear string of amino acids. However, it should be kept in mind that proteins’ function is conferred by their 3-dimensional structure and that understanding the modifications of proteins calls for studying them in their structural context. […]

Machine Learning Algorithms Applications in fMRI Data Analysis

28/03/2022 - Journal Club

Machine Learning Algorithms Applications in fMRI Data Analysis

by Carlo De Nart and Alireza Nameni

The article Performance of machine learning classification models of autism using resting-state fMRI is contingent on sample heterogeneity (Maya A. Reiter, Afrooz Jahedi, A. R. Jac Fredo, Inna Fishman, Barbara Bailey, Ralph-Axel Müller, Springer Nature 2020) was chosen because it shows potential applications of machine learning in fMRI data analysis. Unsupervised machine learning has been […]

How to train your modified peptide MS/MS spectrum predictor?

17/02/2022 - Journal Club

How to train your modified peptide MS/MS spectrum predictor?

by Zoltan and Mostafa

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 […]

Ion mobility meets Deep Learning.

31/01/2022 - Journal Club

Ion mobility meets Deep Learning.

by Pinar and Prajwal

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 […]

Proteins form functional networks, and so do people – the first PROTrEIN summer school

16/12/2021 - News

Proteins form functional networks, and so do people – the first PROTrEIN summer school

by Marc Pauper and Mostafa Kalhor

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.

How to choose a proper combination of search engines to maximize Peptide and Protein Identification?

14/12/2021 - Journal Club

How to choose a proper combination of search engines to maximize Peptide and Protein Identification?

by Zahra and Arslan

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

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