The 2nd AI Proteomics
Competition
Empowering de novo Peptide Sequencing with AI
Exploring the Unknown Sequences of Life Molecules
Empowering de novo Peptide Sequencing with AI
Exploring the Unknown Sequences of Life Molecules
de novo Peptide Sequencing: This competition aims to address the limitations of traditional proteomics, which heavily rely on standard protein databases (Database Searching)
Develop deep learning or generative architectures capable of directly translating raw tandem mass spectrometry (MS/MS) signals into accurate peptide sequences, bypassing traditional database-dependent search methods.
Enhance identification sensitivity specifically for neoantigens, variant peptides, and proteins from non-model organisms, enabling the discovery of sequences that are often missed by standard proteomic pipelines.
Design models that maintain high accuracy even when processing high-noise data and complex spectral backgrounds, ensuring reliable performance across diverse and challenging experimental conditions.
This competition is open to innovators worldwide, regardless of industry or affiliation. We are looking for the brightest minds to solve the next generation of proteomics challenges.
Deep Learning, NLP, Generative Models
Computational Biology & Sequence Analysis
Mass Spectrometry & Spectral Analysis
We strongly encourage participation from Students, Early-Career Researchers (ECRs), and Innovative Startups.
Strong Partners and Sponsors' Support
Substantial rewards and career opportunities for the most innovative teams solving the challenges of proteomics.
1 Team
1 Team
1 Team
Dedicated computational resources will be provided to outstanding teams or individuals with hardware constraints to ensure equitable participation.
Top-performing participants will be invited to collaborate on cutting-edge research projects and receive priority internship or career recommendations at premier research laboratories and AI-driven biotechnology (Biotech) firms.
