Skip to content

24th International Mass Spectrometry Conference (IMSC)

August 27 – September 2, 2022

At this year's IMSC, MSAID will present the intelligent search algorithm CHIMERYS and AI-driven applications for proteomics

OUR POSTER PRESENTATIONS AT IMSC

  • An end-to-end machine learning workflow for MS-based proteomics

    In proteomics, machine learning augments various steps in the data analysis, from predicting peptide properties that serve as priors for experimental data, to training target/decoy classifiers for error estimation. How a model is integrated into production systems determines its requirements. However, generating, evaluating and integrating such models remains manual labor. Here we present a workflow that automates all steps from raw data to production-ready model. First, it imports identified spectra and transforms them to training datasets for various peptide properties. Second, a set of model architectures are trained, evaluated, and their hyperparameters optimized. Hyperparameter optimization automatically balances conflicting requirements such as speed and accuracy and is use-case specific. Third, the models are optimized and exported for different deployment scenarios

  • A unifying, spectrum-centric approach for the analysis of peptide tandem mass spectra

    Mass spectrometry-based proteomics data is acquired using data dependent (DDA), data independent (DIA) or targeted acquisition (PRM) methods. Typically, the former is analyzed using spectrum-centric algorithms assuming that it generates non-chimeric spectra, while the latter two are analyzed in a peptide-centric fashion. However, peptide-centric approaches often struggle to control for the contribution of multiple peptides to the experimental fragment ion intensity. Recently, we showed that DDA, and by extension PRM, spectra can be substantially chimeric and introduced an approach that deconvolutes spectra irrespective of isolation window size, thereby substantially boosting the number of identified peptides for DDA. Here, we demonstrate that the same approach generalizes to any chimeric MS2 spectrum, unifying the analysis of DDA, DIA and PRM data.

UPCOMING EVENTS

ASBMB


14th International Symposium on Mass Spectrometry in the Health and Life Sciences (ASBMB)

August 14 – 18, 2022
Cambridge, MA, USA.

HUPO-2022


21st Human Proteome Organization World Congress (HUPO)


December 4 – 8, 2022
Cancun, Mexico. 

PAST EVENTS

ISMB-2022


30th Conference on Intelligent Systems for Molecular Biology
(ISMB)

July 10 – 12, 2022
Madison, WI, USA.

ASMS2022


70th ASMS Conference on Mass Spectrometry and Allied Topics (ASMS)

June 5-9, 2022
Minneapolis, MN, USA.

ASMS2021


69th ASMS Conference on Mass Spectrometry and Allied Topics (ASMS)

October 31 - November 4, 2021
Philadelphia, PA, USA.