Valentine Provazník

Has grant

Professor

Masaryk University

Czech Republic

Research Interests

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

About

Professor Valentine Provazník is a faculty member at Masaryk University in the Czech Republic. His research areas include metabolomic predictions, genetic and polygenic risk scores, and the synthesis and characterization of hybrid structures, with recent publications addressing cancer cell viscoelasticity and therapeutic drug targeting. His work also explores transcriptomic studies of solventogenic clostridia and the design of plant-derived antifungal peptides.

Recent Grants

Grant: Close

Quantitative Phase Microscopy for 3D Qualitative Characterization of Cancer Cells

Open Date: 2018-01-01

Close Date: 2021-07-01

Grant: Close

Relationship between butanol efflux and butanol tolerance of Clostridia

Open Date: 2017-01-01

Close Date: 2019-12-01

Grant: Close

Nano-Electro-Bio-Tools for Biochemical and Molecularly-Biological Studies of Eukaryotic Cells (NanoBioTECell)

Open Date: 2011-01-01

Close Date: 2015-12-31

Grant: Close

*Technology for transplantology T4T

Open Date: 2010-01-01

Close Date: 2012-12-31

Grant: Close

Information Technology in Biomedical Engineering

Open Date: 2009-01-01

Close Date: 2012-12-31

Articles (12)

Year:

2024

Year:

2024

Year:

2023

Year:

2022

Year:

2021

Year:

2021

Year:

2021

Year:

2021

Year:

2021

Year:

2021

Year:

2021

Year:

2021

Collaborators (15)

Jana Musilova

Brno University of Technology

CZECH REPUBLIC

Valentine Provazník

Research Interests

Contact this professor

About

Recent Grants

Articles (12)

A perspective on genetic and polygenic risk scores—advances and limitations and overview of associated tools

Enhanced metabolomic predictions using concept drift analysis: identification and correction of confounding factors

Synthesis, characterization and In-vitro studies of CNT/Gd2O3 hybrid structure

Cancer cell viscoelasticity measurement by quantitative phase and flow stress induction

Self-supervised pretraining for transferable quantitative phase image cell segmentation

Di-4-ANEPPS Modulates Electrical Activity and Progress of Myocardial Ischemia in Rabbit Isolated Heart

Transcriptomic studies of solventogenic clostridia, Clostridium acetobutylicum and Clostridium beijerinckii.

Increasing the Image Contrast via Fast Fluorescence Photobleaching.

Parametric Deconvolution for Cancer Cells Viscoelasticity Measurements from Quantitative Phase Images.

Development and Characterization of Natural Product Derived Macromolecules Based Interpenetrating Polymer Network for Therapeutic Drug Targeting.

PhytoAFP: In Silico Approaches for Designing Plant-Derived Antifungal Peptides

Self-supervised pretraining for transferable quantitative phase image cell segmentation.

Collaborators (15)

Jana Musilova

Katerina Sabatova

Petra Patakova

Rima Paul

Jan Balvan

Larisa Chmelikova

Barbora Branská

Vojtěch Bartoň

Radim Kolar

Tomas Vicar

Dirk Walther

Jiri Chmelik

Jana Schwarzerová

Matej Lexa

Tibor Stracina

Make your next move.