.css-1xsl8rf{width:100%;display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;position:relative;overflow:hidden;background:var(--alert-bg);-webkit-padding-start:var(--chakra-space-4);padding-inline-start:var(--chakra-space-4);-webkit-padding-end:var(--chakra-space-4);padding-inline-end:var(--chakra-space-4);padding-top:var(--chakra-space-1);padding-bottom:var(--chakra-space-1);--alert-fg:var(--chakra-colors-orange-600);--alert-bg:var(--chakra-colors-orange-100);font-weight:var(--chakra-fontWeights-semibold);padding-left:var(--chakra-space-4);}.chakra-ui-dark .css-1xsl8rf:not([data-theme]),[data-theme=dark] .css-1xsl8rf:not([data-theme]),.css-1xsl8rf[data-theme=dark]{--alert-fg:var(--chakra-colors-orange-200);--alert-bg:rgba(251, 211, 141, 0.16);}@media screen and (min-width: 48em){.css-1xsl8rf{padding-left:var(--chakra-space-8);}}Please enable Javascript to use all features and improve your user experience.

Mathias Wilhelm

Munich / DE

Technical University of Munich

Chair

Mon, Oct 21
10:15 – 11:45
Bioinformatics hub
Machine Learning and AI in Proteomics: overview, resources, and opportunities
Seminar room 5-6
Mon, Oct 21
11:45 – 13:15
Bioinformatics hub
Machine Learning and AI in Proteomics: current models and new opportunities
Seminar room 5-6

Speaker

Tue, Oct 22
10:40 – 11:05 20 Min. 5 Min.
Keynote lecture
KN-19
Deep learning for peptide property prediction and beyond
Keynote Lecture

Further involvements

Mon, Oct 21
Poster presentation
P-I-0077
Peering into the microbial world: exploring proteomic diversity across the bacterial domain of life for enhanced bacterial identification
Microbiology and Microbiome Analysis
Tue, Oct 22
10:40 – 11:05 20 Min. 5 Min.
Keynote lecture
KN-19
Deep learning for peptide property prediction and beyond
Keynote Lecture
Tue, Oct 22
Poster presentation
P-II-0497
SWAPS: a joint peptide identification and quantification approach to increase the depth and coverage of LC-MS experiments
New Technology: AI and Bioinformatics in Mass Spectrometry
Tue, Oct 22
Poster presentation
P-II-0467
XL-Prosit: accurate fragment intensity prediction and enhanced cross-linked peptide identification for protein structural and interaction studies
New Technology: AI and Bioinformatics in Mass Spectrometry
Tue, Oct 22
Poster presentation
P-II-0491
ProteomicsDB: connecting proteomes across species
New Technology: AI and Bioinformatics in Mass Spectrometry
Tue, Oct 22
Poster presentation
P-II-0445
Extending PSM rescoring for timsTOF data to MSFragger with Oktoberfest
New Technology: AI and Bioinformatics in Mass Spectrometry
Tue, Oct 22
Poster presentation
P-II-0499
Benchmarking predictions models for improved peptide identification with MSBooster and Koina
New Technology: AI and Bioinformatics in Mass Spectrometry
Tue, Oct 22
17:06 – 17:18 10 Min. 2 Min.
Oral presentation
OP-66
A comparison of peptide- and spectrum-centric search engines beyond bar charts
New Technology: AI and Bioinformatics in Mass Spectrometry
Wed, Oct 23
Poster presentation
P-III-0850
DORSSAA: Drug-target interactOmics resource based on stability/solubility alteration assay
Data Integration: With Bioinformatics to Biological Knowledge
Wed, Oct 23
Poster presentation
P-III-0811
PTMNavigator: interactive visualization of differentially regulated post-translational modifications in cellular signaling pathways
Data Integration: With Bioinformatics to Biological Knowledge