Projects per year
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Professional Information
Education:
> 2008 Dipl. Ing. Management, Slovak Technical University (SK)
> 2006 Ph.D. Biochemistry, University of Kuopio (FI)
> 2001 M.Sc. Biochemistry, Comenius University (SK)
Ferdinand Molnár is an Associate Professor in the Department of Biology at Nazarbayev University, Kazakhstan. He earned his MSc in Biochemistry from Comenius University in Bratislava (2001) and his PhD in Biochemistry, with minors in Pharmacology and Bioinformatics, from the University of Kuopio, Finland (2006). His path since has crossed four countries: a postdoc at the Institute of Genetics and Molecular and Cellular Biology in Illkirch, France (2006 to 2008), a return to Finland for a decade of research and lab leadership at the University of Eastern Finland, rising to Senior Researcher and laboratory head, and, since 2018, his move to Kazakhstan.
Prof. Molnár's research asks how cells read chemical signals and act on them. He studies mammalian transcriptional regulation and the cellular signaling driven by nuclear receptors in health and disease, down to the molecular handshakes involved: how ligands meet proteins, proteins meet proteins, and proteins meet DNA. What sets his work apart is that he refuses to pick a side of the traditional divide in biology. He pairs classical wet-lab experiments with heavy in-silico methods, moving fluidly between the bench and the machine. That combination extends into cheminformatics, drug discovery, protein design and engineering, and machine learning applied to chemistry, all pointed at the same target: preclinical drug development.
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Collaborations and top research areas from the last five years
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Structural Insight for Cooperative DNA-binding of Immunomodulatory Transcription Factors with Vitamin D Receptor
Molnar, F. (PI)
6/24/25 → 12/31/27
Project: FDCRGP
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Generative Machine Learning for Drug Discovery
Fazli, S. (PI), Molnar, F. (Other Faculty/Researcher), Zazybin, A. (Other Faculty/Researcher), Peshkov, V. (Other Faculty/Researcher), Zollanvari, A. (Other Faculty/Researcher) & Müller, K.-R. (Other Faculty/Researcher)
1/1/23 → 12/31/25
Project: FDCRGP
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Building a uniform platform for streamlining the development of new methodologies towards high added value chemicals: a step forward from multicomponent reactions
Molnar, F. (PI) & Hayrapetyan, D. (Other Faculty/Researcher)
1/1/22 → 12/31/24
Project: FDCRGP
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Human xenosensor CAR as novel target for treatment of metabolic disorders.
Molnar, F. (PI), Fazli, S. (Other Faculty/Researcher), Pogosyan, G. (Co-PI) & Suleimen, Y. (Co-PI)
1/1/20 → 12/31/25
Project: CRP
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Poison or remedy? The role of bile acids in colorectal cancer
Molnar, F. (PI)
1/31/19 → 12/31/22
Project: FDCRGP
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Bridging prediction and reality: Comprehensive analysis of experimental and AlphaFold 2 full-length nuclear receptor structures
Mazhibiyeva, A., Pham, T. T., Pats, K., Lukac, M. & Molnár, F., Jan 2025, In: Computational and Structural Biotechnology Journal. 27, p. 1998-2013 16 p.Research output: Contribution to journal › Article › peer-review
Open Access9 Link opens in a new tab Citations (Scopus) -
CSMA: A Standalone and ImageJ-Compatible Tool for Enhanced Wound Healing Assay Analysis
Pham, T. T., Sagymbayeva, A., Elebessov, T., Onzhanova, Z. & Molnar, F., 2025, In: IEEE Access. 13, p. 69341-69352 12 p.Research output: Contribution to journal › Article › peer-review
Open Access -
CSMA: A Standalone and ImageJ-Compatible Tool for Enhanced Wound Healing Assay Analysis
Thanh Pham, T., Sagymbayeva, A., Elebessov, T., Onzhanova, Z. & Molnar, F., 2025, In: IEEE Access. 13, p. 69341-69352 12 p.Research output: Contribution to journal › Article › peer-review
Open Access1 Link opens in a new tab Citation (Scopus) -
GEODES: geometric descriptors for the assessment of global and local flexibility of proteins during molecular dynamics simulation
Pats, K., Glukhov, I., Petrosian, S., Mamaeva, M., Sergushichev, A., Devignes, M. D. & Molnar, F., 2025, In: IEEE Access. 13, p. 64259-64270 12 p.Research output: Contribution to journal › Article › peer-review
Open Access -
GEODES: Geometric Descriptors for the Assessment of Global and Local Flexibility of Proteins during Molecular Dynamics Simulation
Pats, K., Glukhov, I., Petrosian, S., Mamaeva, M., Sergushichev, A., Devignes, M. D. & Molnár, F., 2025, In: IEEE Access. 13, p. 64259-64270 12 p.Research output: Contribution to journal › Article › peer-review
Open Access1 Link opens in a new tab Citation (Scopus)