Wim Vranken

Research professor

Vrije Universiteit Brussel

Belgium

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About

Wim Vranken is a Research Professor at Vrije Universiteit Brussel in Belgium. His research focuses on RNA recognition, tRNA modification, and protein biophysical properties, as evidenced by his recent publications. Notable works include the investigation of the MnmE-MnmG complex using Cryo-EM and the development of tools like RRMScorer for predicting RNA binding preferences.

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2021

Collaborators (16)

Wim Versées

Vrije Universiteit Brussel

BELGIUM

Wim Vranken

Research Interests

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Articles (22)

Cryo-EM structures of the MnmE–MnmG complex reveal large conformational changes and provide new insights into the mechanism of tRNA modification

Deciphering the RNA recognition by Musashi-1 to design protein and RNA variants for in vitro and in vivo applications

RRMScorer: A web server for predicting RNA recognition motif binding preferences

In silico identification of archaeal DNA-binding proteins

Large-scale structure-informed multiple sequence alignment of proteins with SIMSApiper

Data-driven probabilistic definition of the low energy conformational states of protein residues

Effects of Phosphorylation on Protein Backbone Dynamics and Conformational Preferences

Repurposing the mammalian RNA-binding protein Musashi-1 as an allosteric translation repressor in bacteria

Repurposing the mammalian RNA-binding protein Musashi-1 as an allosteric translation repressor in bacteria

Leucine Motifs Stabilize Residual Helical Structure in Disordered Proteins

Analysis of the inter-domain orientation of tandem RRM domains with diverse linkers: connecting experimental with AlphaFold2 predicted models

bio2Byte Tools deployment as a Python package and Galaxy tool to predict protein biophysical properties

The ACPYPE web server for small-molecule MD topology generation

New simulation insights on the structural transition mechanism of bovine rhodopsin activation

Author Correction: Deep mutational scanning of essential bacterial proteins can guide antibiotic development

Deciphering the RRM-RNA recognition code: A computational analysis

Deep mutational scanning of essential bacterial proteins can guide antibiotic development

Evolutionary adaptation of the protein folding pathway for secretability

b2bTools: online predictions for protein biophysical features and their conservation

Online biophysical predictions for SARS-CoV-2 proteins.

MutaFrame—an interpretative visualization framework for deleteriousness prediction of missense variants in the human exome

Interpreting a black box predictor to gain insights into early folding mechanisms

Collaborators (16)

Wim Versées

Fabrizio Pucci

Pathmanaban Ramasamy

Christian Galicia Diaz Santana

Michael Sattler

Liselot Dewachter

François Ancien

Joel Roca-Martínez

José Israel Mares Mejía

Jose Gavaldá García

Anastassia Vorobieva

Konstantina Tzavella

Jan Michiels

Helena Danielson

Marcus Fislage

Sophie-Luise Heidig

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