Hacettepe University Biological Data Science Laboratory
Hacettepe Biological Data Science Lab’s work focuses on developing machine/deep learning-based methods for:
- the integration and representation of heterogeneous biomedical data,
- the prediction of the functional properties of genes/proteins,
- discovering/designing new drug candidate molecules.
We frequently utilise representation learning and generative artificial intelligence and have multiple ongoing projects focused on small-molecule and protein design.
Highlights
Publications
We apply cutting-edge machine learning and deep learning to decode complex biological and chemical data. Our research focuses on novel AI methods for drug discovery, protein function prediction, and molecular representation learning.
Research
Our lab builds and applies novel computational tools to real-world challenges. Our projects range from generative models for novel drug design to advanced graph networks for analyzing drug-target interactions.
Team
Our lab is powered by an interdisciplinary team of bioinformaticians, computer scientists, computational biologists and AI engineers. We are passionate about using AI for science and fostering a collaborative research environment.