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

Institutions

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
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

24 th International Workshop on Data Mining in Bioinformatics (BIOKDD 2025)

Mohammed J. Zaki, Jake Y. Chen, Da Yan, Truong Son Hy
Machine Learning in Bioinformatics
article

24 th International Workshop on Data Mining in Bioinformatics (BIOKDD 2025)

Mohammed J. Zaki, Jake Y. Chen, Da Yan, Truong Son Hy
article en

Abstract

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.

Rensselaer Polytechnic Institute (US), University of Alabama at Birmingham (US), Indiana University Bloomington (US)
Industry, innovation and infrastructure
Openalex Percentile: Top 83%
Machine Learning in Bioinformatics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

24 <sup>th</sup> International Workshop on Data Mining in Bioinformatics (BIOKDD 2025) — Mohammed J. Zaki, Jake Y. Chen, et al. · (2025) | TGRS Research Map | TGRS