Author

Ferdinand Molnár

Nazarbayev UniversityORCID 0000-0001-9008-4233Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Approach:experimental assay· 2 Assay:imaging· 1 Assay:protein structure· 1 Research Focus:protein structure prediction· 1 Approach:statistical model· 1

Frequent Co-Authors

Tri Thanh PhamiD· 2 shared Akerke MazhibiyevaiD· 1 shared Amina SagymbayevaiD· 1 shared Karina PatsiD· 1 shared Martin LukáčiD· 1 shared Timur ElebessoviD· 1 shared Zhadyra OnzhanovaiD· 1 shared

Activity by Year

2025-2025 · peak 2/yr

Co-Author Collaboration Network

7 top collaborators · 12 mutual co-author links

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2 shared papersBioinformatics

Tri Thanh PhamORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintJan 12, 2025

CSMA: an ImageJ Plugin for the Analysis of Wound Healing Assays

Tri Thanh Pham, Amina Sagymbayeva, Timur Elebessov…·Ferdinand Molnár

CSMA is an ImageJ plugin that improves wound healing assay analysis by accurately quantifying wound closure through advanced image processing techniques.

DOI 10.1101/2025.01.12.632613

imagingexperimental assay

𝕏 PostBluesky

BioinformaticsComputational and Structural Biotechnology JournalPeer-reviewedJan 1, 2025

Bridging Prediction and Reality: Comprehensive Analysis of Experimental and AlphaFold 2 Full-Length Nuclear Receptor Structures

Akerke Mazhibiyeva, Tri Thanh Pham, Karina Pats…·Ferdinand Molnár

This study compares AlphaFold 2 predictions with experimental structures of nuclear receptors, finding high accuracy in stable conformations but limitations in capturing flexible regions and ligand-binding pocket variability.

13 citations

protein structurestatistical model

𝕏 PostBluesky