András Aszódi
Novartis
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Publication
Featured researches published by András Aszódi.
ChemBioChem | 2004
Nicole-Claudia Meisner; Jörg Hackermüller; Volker Uhl; András Aszódi; Markus Jaritz; Manfred Auer
Approximately 3u2009000 genes are regulated in a time‐, tissue‐, and stimulus‐dependent manner by degradation or stabilization of their mRNAs. The process is mediated by interaction of AU‐rich elements (AREs) in the mRNAs 3′‐untranslated regions with trans‐acting factors. AU‐rich element‐controlled genes of fundamentally different functional relevance depend for their activation on one positive regulator, HuR. Here we present a methodology to exploit this central regulatory process for specific manipulation of AU‐rich element‐controlled gene expression at the mRNA level. With a combination of single‐molecule spectroscopy, computational biology, and molecular and cellular biochemistry, we show that mRNA recognition by HuR is dependent on the presentation of the sequence motif NNUUNNUUU in single‐stranded conformation. The presentation of the HuR binding site in the mRNA secondary structure appears to act analogously to a regulatory on/off switch that specifically controls HuR access to mRNAs in cis. Based on this finding we present a methodology for manipulating ARE mRNA levels by actuating this conformational switch specifically in a target mRNA. Computationally designed oligonucleotides (openers) enhance the NNUUNNUUU accessibility by rearranging the mRNA conformation. Thereby they increase in vitro and endogenous HuR–mRNA complex formation which leads to specific mRNA stabilization (as demonstrated for TNFα and IL‐2, respectively). Induced HuR binding both inside and outside the AU‐rich element promotes functional IL‐2 mRNA stabilization. This opener‐induced mRNA stabilization mimics the endogenous IL‐2 response to CD28 stimulation in human primary T‐cells. We therefore propose that controlled modulation of the AU‐rich element conformation by mRNA openers or closers allows message stabilization or destabilization in cis to be specifically triggered. The described methodology might provide a means for studying distinct pathways in a complex cellular network at the node of mRNA stability control. It allows ARE gene expression to be potentially silenced or boosted. This will be of particular value for drug‐target validation, allowing the diseased phenotype to ameliorate or deteriorate. Finally, the mRNA openers provide a rational starting point for target‐specific mRNA stability assays to screen for low‐molecular‐weight compounds acting as inhibitors or activators of an mRNA structure rearrangement.
Journal of Chemical Information and Computer Sciences | 2004
Christian Hofbauer; Hans Lohninger; András Aszódi
Analysis of the distributions of physicochemical properties mapped onto molecular surfaces can highlight important similarities or differences between compound classes, contributing to rational drug design efforts. Here we present an approach that uses maximal common subgraph comparison and harmonic shape image matching to detect locally similar regions between two molecular surfaces augmented with properties such as the electrostatic potential or lipophilicity. The complexity of the problem is reduced by a set of filters that implement various geometric and physicochemical heuristics. The approach was tested on dihydrofolate reductase and thermolysin inhibitors and was shown to recover the correct alignments of the compounds bound in the active sites.
RNA Biology | 2012
Betül Hekimoglu-Balkan; András Aszódi; Robert Heinen; Markus Jaritz; Leonie Ringrose
Non-coding (nc) RNAs are involved both in recruitment of vertebrate Polycomb (PcG) proteins to chromatin, and in activation of PcG target genes. Here we investigate dynamic changes in the relationship between ncRNA transcription and recruitment of PcG proteins to chromatin during differentiation. Profiling of purified cell populations from different stages of a defined murine in vitro neural differentiation system shows that over 50% of regulated intergenic non-coding transcripts precisely correspond to PcG target sites. We designate these PcG recruiting elements as Transcribed Intergenic Polycomb (TIP) sites. The relationship between TIP transcription and PcG recruitment switches dynamically during differentiation between different states, in which transcription and PcG recruitment exclude each other, or in which both are present. Reporter assays show that transcribed TIP sites can repress a flanking gene. Knockdown experiments demonstrate that TIP ncRNAs are themselves required for repression of target genes both in cis and in trans. We propose that TIP transcription may ensure coordinated regulation of gene networks via dynamic switching and recruitment of PcG proteins both in cis and in trans during lineage commitment.
european pvm mpi users group meeting on recent advances in parallel virtual machine and message passing interface | 2002
Siegfried Höfinger; Torsten Schindler; András Aszódi
A parallel version of an optimization algorithm for arbitrary functions of arbitrary dimension N has been developed and tested on an IBM-Regatta HPC system equipped with 16 CPUs of Power4 type, each with 1.3 GHz clock frequency. The optimization algorithm follows a simplex-like stochastic search technique aimed at quasi-complete sampling of all the local minima. Parallel functionality is incorporated with the Message Passing Interface - MPI - version 1.2. The program is applied to typical problems of dimension N=60 and N=512 and the results are analyzed with respect to operability and parallel scalability.
Journal of Chemical Information and Modeling | 2005
Christian Hofbauer; András Aszódi
To avoid side effects, it is often desirable to increase the specificity of a drug candidate when targeting one member of a family of related proteins, whereby one exploits small differences between the structures of the binding sites. Identification of such differences can be carried out by analyzing the distributions of physicochemical properties mapped onto molecular surfaces. Here we demonstrate that SURFCOMP, our local surface similarity detection method, is able to detect differences between the binding sites of two closely related proteins. We analyzed the SH2 domains of Sap and Eat-2, two highly similar signal transduction molecules involved in inflammatory processes and found differences between their binding sites that can possibly lead to a better understanding of the different specificities of the two proteins.
International Journal of Pharmaceutics | 2004
Andreas Billich; Heinrich Aschauer; András Aszódi; Anton Stuetz
Journal of Molecular Graphics & Modelling | 2007
Markus J. Loferer; István Kolossváry; András Aszódi
Archive | 2010
Frank Kolbinger; Herrera José M. Carballido; András Aszódi; José W. Saldanha; Bruce M. Hall; Silvia Gregori; Maria Grazia Roncarolo; Véronique Loux; Gregorio Aversa; Margit Jeschke
Archive | 2002
Gregorio Aversa; Frank Kolbinger; Herrera José M. Carballido; András Aszódi; Jose Saldanha; Bruce M. Hall
Archive | 2012
Betül Hekimoglu-Balkan; András Aszódi; Robert Heinen; Markus Jaritz; Leonie Ringrose