1 citations · 1 across the 3 of their papers we have counts for
3 papers
Machine Learning-driven Multiscale MD Workflows: The Mini-MuMMI Experience
Loïc Pottier, Konstantia Georgouli, Timothy S. Carpenter +8
Computational models have become one of the prevalent methods to model complex phenomena. To accurately model complex interactions, such as detailed biomolecular interactions, scie…
Identifying Orientation-specific Lipid-protein Fingerprints using Deep Learning
Fikret Aydin, Konstantia Georgouli, Gautham Dharuman +5
Improved understanding of the relation between the behavior of RAS and RAF proteins and the local lipid environment in the cell membrane is critical for getting insights into the m…
Emerging Patterns in the Continuum Representation of Protein-Lipid Fingerprints
Konstantia Georgouli, Helgi I Ingólfsson, Fikret Aydin +4
Capturing intricate biological phenomena often requires multiscale modeling where coarse and inexpensive models are developed using limited components of expensive and high-fidelit…