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.
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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.
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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.
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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.
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