Computational Biology and Biological Physics

Organisational unit: Division

Research

Computational Biology & Biological Physics (CBBP) at Lund University pursues a very broad spectrum of research activities. In particular, CBBP builds models of macromolecules and living systems, and investigates biological processes by applying machine learning and statistical techniques. Examples of problems areas are: protein folding, misfolding and interactions; bionanophysics, e.g., studies of nano-confined DNA; transcriptional regulation, development and stem cell fates; machine learning (e.g., deep neural networks) for medical decision support.

Recent research outputs

Yassin Refahi, Argyris Zardilis, Gaël Michelin, Raymond Wightman, Bruno Leggio, Jonathan Legrand, Emmanuel Faure, Laetitia Vachez, Alessia Armezzani, Anne Evodie Risson, Feng Zhao, Pradeep Das, Nathanaël Prunet, Elliot M. Meyerowitz, Christophe Godin, Grégoire Malandain, Henrik Jönsson & Jan Traas, 2021, In: Developmental Cell. 56, 4, p. 540-556.e8

Research output: Contribution to journalArticle

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