معرفی
Max Bonomi is a Researcher and Head of the Brain-immune communication group at the Institut Pasteur, Paris, within the Department of Computational Biology. He leads a research team focused on integrative computational approaches to model the structure and dynamics of complex biological systems, particularly using cryo-EM data and molecular simulations.
- Institution: Institut Pasteur
- Department: Department of Computational Biology
- Role: Group Leader and Principal Investigator
His research lies at the intersection of biophysics, machine learning, and structural biology, with a strong emphasis on developing and applying methods for integrative modeling of proteins and RNA. He is a key contributor to the PLUMED open-source software and leads projects such as HARIBOSS and SHAMAN, which aim to advance RNA-targeted drug discovery.
The recent publications of Dr. Bonomi span topics including RNA-small molecule interactions, conformational dynamics of proteins, cryo-EM integration, and AI in structural biology. His work shows a clear trend toward computational tools that enhance reproducibility, integrate diverse data sources, and enable rational drug design, particularly for challenging targets like RNA and dynamic membrane proteins.
He has received no explicitly listed scientific awards in the provided text, but his publications in high-impact journals and leadership in open-source scientific software indicate significant recognition in the field.
Dr. Bonomi advises PhD students and postdoctoral researchers, including Carla Cabal Fernandez and Matteo Marengo. His group is supported by ongoing projects in integrative modeling and software development. He actively promotes scientific reproducibility through the PLUMED Consortium and develops public resources like PLUMED-NEST for data sharing.
His research group manages several tools and databases:
- PLUMED: Open-source library for free-energy calculations in molecular systems.
- HARIBOSS: Curated database of RNA-small molecule structures.
- PLUMED-NEST: Public repository for reproducing PLUMED simulation results.
- SHAMAN: Computational technique for identifying small-molecule binding sites in RNA ensembles.
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