Molecular Events & Design of Pharmaceuticals
We connect molecular modelling, membrane biophysics, microfluidic experiments and clinically interpretable AI to study biological mechanisms and support therapeutic design.
Co-led by Sebastian Kraszewski and Dominik Drabik.
Molecular mechanisms. Controlled experiments. Biomedical applications.
MEDΦ combines molecular biophysics, numerical modelling, microfluidic engineering and AI-assisted biomedical engineering. The central question is pragmatic: which microscopic events can be turned into actionable design rules?
We connect atomistic simulation, membrane and transporter pharmacology, controlled microfluidic experiments and clinical machine learning to explain mechanisms and support rational therapeutic design.
Complementary directions connect molecular mechanisms, experimental observations and biomedical applications.
SGLT and GLUT modelling, selectivity determinants and the molecular logic of transport relevant to metabolic disease and cancer. Cryo-EM, AlphaFold2 and free-energy methods turned into design rules.
Mechanisms of surfactants, antiseptics and membrane-active compounds against resistant bacteria, including AI-generated candidates aimed at specific bacterial microdomains.
Realistic bacterial envelopes and asymmetric bilayers, micropipette aspiration and flicker-noise spectroscopy, plus numerical tools that quantify membrane mechanics and interaction energetics.
Interpretable machine learning on laboratory markers and medical images: coronary-artery and multi-sequence MRI pipelines, histopathology analysis and clinical decision support.
Dominik Drabik connects microfluidic platforms, molecular dynamics, CFD and quantitative data analysis.
Controlled microfluidic environments for studying lipid membranes and GUVs, cell culture under flow, and the formulation of lipid-based nanocarriers.
Explore Dominik's research →Grouped by domain rather than ranked. Each can grow into its own page.
Computational insight into human sodium-glucose transporters and the design challenge of selective SGLT1 inhibition.
Deactivation of sodium-dependent glucose transport for targeted anticancer therapy, framed as a transporter-level intervention.
Molecular guidelines for promising antimicrobial agents and AI-generated candidates aimed at bacterial microdomains.
Numerical analysis of membrane interactions and descriptor-driven selection of antimicrobial detergents and drug-delivery aids.
More realistic E. coli membrane systems for molecular dynamics, and how membrane complexity shapes mechanical parameters.
Interpretable machine learning on laboratory markers and medical images to support non-invasive clinical assessment.
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The laboratory is jointly led by Sebastian Kraszewski and Dominik Drabik.
dr hab. inż. · prof. PWr
Lab co-lead · Associate Professor
Computational biophysics, drug design and AI in medicine.
Sebastian Kraszewski co-leads the MEDΦ Laboratory with Dominik Drabik at the Department of Biomedical Engineering. He earned his PhD in 2010 at the Université de Franche-Comté in Besançon, working on the computational biophysics of carbon-nanotube interactions with biological membranes, and his habilitation in 2020 at the Silesian University of Technology on numerical methods in biomedical engineering.
Sebastian Kraszewski współprowadzi z Dominikiem Drabikiem laboratorium MEDΦ w Katedrze Inżynierii Biomedycznej. Doktorat obronił w 2010 r. na Université de Franche-Comté w Besançon, badając obliczeniowo oddziaływania nanorurek węglowych z błonami biologicznymi, a habilitację uzyskał w 2020 r. na Politechnice Śląskiej w zakresie metod numerycznych w inżynierii biomedycznej.
dr hab. inż. · prof. PWr
Lab co-lead · Associate Professor
Microfluidic Biophysics and Multiscale Bioengineering.
Dominik Drabik earned his PhD in 2020 and his habilitation in 2025 at the Wrocław University of Science and Technology. During PhD he was working on biomechanics of lipid membranes, integrating experimental techniques with numerical methods in biomedical engineering. Nowadays, he leads multi-scale biophysical research, bridging computational modeling, custom data analytics, and microfluidic bio-design.
Dominik Drabik uzyskał stopień doktora w 2020 roku, a doktora habilitowanego w 2025 roku na Politechnice Wrocławskiej. Podczas doktoratu zajmował się biomechaniką błon lipidowych, łącząc techniki eksperymentalne z metodami numerycznymi w inżynierii biomedycznej. Obecnie prowadzi wieloskalowe badania biofizyczne, łącząc modelowanie obliczeniowe, autorską analizę danych i projektowanie mikroukładów do zastosowań biologicznych.
Molecular modelling, membrane pharmacology and AI/ML, with links to the source.
Frontiers in Molecular Biosciences. A roadmap toward selective SGLT1 inhibition built from cryo-EM, AlphaFold2 and free-energy calculations.
doi: 10.3389/fmolb.2025.1668400Scientific Reports. Generative design of membrane-active antimicrobials aimed at cardiolipin-rich microdomains.
doi: 10.1038/s41598-025-31350-1Journal of Chemical Information and Modeling. Molecular dynamics of a next-generation antibiotic in complex and single-membrane systems.
doi: 10.1021/acs.jcim.4c00228Biophysical Journal. Does electrostatics matter? A molecular account of two everyday antiseptics.
doi: 10.1016/j.bpj.2021.06.027International Journal of Molecular Sciences. A systematic molecular-dynamics route to comparing antimicrobial surfactants.
doi: 10.3390/ijms222010939For students, clinicians and industrial partners working with molecular modelling, membrane-active therapeutics, microfluidic systems, transporter pharmacology and biomedical AI.