The Belgian CompOmics group of Prof. Dr. Lennart Martens at Ghent University and the Bio2Byte group of Prof. Dr. Wim Vranken at VUB collaborate on the analysis and integration of high-throughput omics data in relation to protein post-translational modifications (PTMs) and dynamics. We are inviting applications for a fully funded joint PhD position focusing on the role of protein PTMs in shaping protein structures, dynamics, and behavior. This project seeks to understand how PTMs influence protein subcellular (re-)localization, interactions, and overall behavior in cells, while leveraging these insights to enhance biophysical predictions.
Project Overview:
Post-translational modifications (PTMs) are critical regulators of protein function; however, their roles in determining subcellular localization and driving protein-protein interactions are still not fully understood. This project aims to: 1. Investigate where PTMs drive subcellular localization and re-localization of proteins and how this affects their interactions; 2.Use this understanding to explore the broader question of how PTMs influence protein behavior within cells; 3. Integrate these insights with protein dynamics from MD and biophysical properties, so improving predictions of protein stability, dynamics, and function based on PTM patterns. In this project, you will:
• Integrate and analyze protein structural data, PTMs, and biophysical properties using computational tools and predictive modeling.
• Develop PTM-aware biophysical prediction models and use MD to refine prediction methods for protein flexibility, conformational changes, and interaction dynamics.
• Collaborate with experts in bioinformatics, structural biology, and cell biology to contextualize findings and advance the understanding of protein behavior.
• Contribute to the development of a comprehensive framework for linking PTMs, biophysical characteristics, and cellular behavior at a proteome-wide scale.
• A master's degree (or equivalent) in (Bio-)informatics, computational biology, medical sciences, (bio-)engineering, or related disciplines.
• Strong computational skills, including experience with Python for analyzing and interpreting large-scale datasets and Molecular dynamics. Familiarity with structural analysis tools or machine learning techniques is a plus.
• Excellent communication skills and a collaborative mindset.
Please apply by filling in this online form: bit.ly/phd_proteincontour, by January 31, 2025. Include a CV with publications (if any) and contact details of two references, a motivation letter explaining your interest in this position and your relevant skills/experience.