24 <sup>th</sup> International Workshop on Data Mining in Bioinformatics (BIOKDD 2025)
The goal of the 24 th International Workshop on Data Mining in Bioinformatics (BIOKDD 2025) is to encourage KDD researchers to solve the numerous problems and challenges in Bioinformatics using Data Mining technologies.Based on the organizers' expertise and communities, BIOKDD 2025 features the theme "Generative AI in Biomolecular Designs".This theme encourages using large language models to design and optimize proteins or other biomolecules such as compounds, natural products, and RNAs with generative AI techniques.We also welcome broader research applying data mining to address biomedical problems.The key goal is to accelerate the convergence between Data Mining and Bioinformatics communities to expedite discoveries in basic biology, medicine and healthcare.
Authors
- Mohammed J. Zaki (ORCID: https://orcid.org/0000-0003-4711-0234)
- Jake Y. Chen (ORCID: https://orcid.org/0000-0001-8829-7504)
- Da Yan (ORCID: https://orcid.org/0000-0002-4653-0408)
- Truong Son Hy (ORCID: https://orcid.org/0000-0002-5092-3757)
Institutions
- Rensselaer Polytechnic Institute (US)
- University of Alabama at Birmingham (US)
- Indiana University Bloomington (US)
Publication Details
- Published
- 2025-08-03
- DOI
- https://doi.org/10.1145/3711896.3737844
- Primary Topic
- Machine Learning in Bioinformatics
- Type
- article
- Field-Weighted Citation Impact
- 0.00