Proteins, Drugs & Data Science
Hello
My name is Miguel. I am a researcher at the intersection between Biology and Artificial Intelligence.
My background is Biophysics: I used to apply Nuclear Magnetic Resonance and other methods to model how extremely dynamic proteins work.
Nowadays I am interested in AI-driven protein science and drug discovery.
Interests
- Protein Science
- Drug Discovery
- Machine Learning
- Large Language Models
Education
PhD in Organic Chemistry, 2018
University of Barcelona, Spain
MSc in Organic Chemistry, 2013
University of Barcelona, Spain
BSc+MSc in Chemistry, 2012
University of Oviedo, Spain
Experience
Research engineer
Visiting researcher
Helmholtz Information & Data Science Academy (HIDA) grantee at the MDC Bioinformatics unit.
Projects:
- Protein:drug interaction prediction with geometric deep learning and protein language models.
Postdoctoral researcher
Projects:
- Liquid-liquid phase separation of human FUS by solid state Nuclear Magnetic Resonance
- Regulation of A. thaliana salt-stress response by phosphorylation of protein CC1
- Structural disorder in enteropathogenic bacterial proteomes.
Tasks:
- Method development
- Solid state and solution Nuclear Magnetic Resonance data acquisition
- Data analysis
PhD student
Thesis: A novel regulatory unit in the N-terminal region of c-src.
Tasks:
- Protein expression and purification
- Solution Nuclear Magnetic Resonance data acquisition
- Data analysis
Publications
Quickly discover relevant content by filtering publications.
(2021).
The pathogen-encoded signaling receptor Tir exploits host-like intrinsic disorder to assist infection.
In BioRxiv.
(2019).
Integrating disorder in globular multidomain proteins: Fuzzy sensors and the role of SH3 domains.
In Archives of Biochemistry and Biophysics.
(2019).
A Myristoyl-Binding Site in the SH3 Domain Modulates c-Src Membrane Anchoring.
In Iscience.
(2018).
Farseer-NMR: Automatic Treatment, Analysis and Plotting of Large, Multi-Variable NMR Data.
In Journal of Biomolecular NMR.
(2018).
Intramolecular Fuzzy Interactions Involving Intrinsically Disordered Domains.
In Frontiers in Molecular Biosciences.
(2018).
A novel regulatory unit in the N-terminal region of c-Src.
Universitat de Barcelona.
(2017).
The Unique Domain Forms a Fuzzy Intramolecular Complex in Src Family Kinases.
In Structure.
(2015).
The SH3 Domain Acts as a Scaffold for the N-Terminal Intrinsically Disordered Regions of c-Src.
In Structure.
(2013).
Lipid binding by disordered proteins.
In Protocol Exchange.
Contact
- miguelarbesu@gmail.com
- Berlin, Berlin 10115