Koina: Democratizing machine learning for proteomics research.

ABSTRACT: Recent developments in machine learning (ML) and deep learning have immense potential for applications in proteomics, such as generating spectral libraries, improving peptide identification, and optimizing targeted acquisition modes. Although new ML models are regularly published, the rate at which the community adopts these models is slow. This is in part due to a lack of findability and accessibility of these models as well as the technical challenges involved in incorporating these models into data analysis pipelines and demonstrating their reusability for end-users. Here we show Koina, an open-source decentralized and online-accessible model repository to facilitate publication of ML models. Koina enables ML model usage via an easy-to-use online interface, facilitating the integration

SUBMITTER: Lautenbacher L 

PROVIDER: S-EPMC12606132 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature