0000000000501376

AUTHOR

Sándor Suhai

showing 2 related works from this author

Establishment and functional validation of a structural homology model for human DNA methyltransferase 1

2003

Changes in DNA methylation patterns play an important role in tumorigenesis. The DNA methyltransferase 1 (DNMT1) protein represents a major DNA methyltransferase activity in human cells and is therefore a prominent target for experimental cancer therapies. However, there are only few available inhibitors and their high toxicity and low specificity have so far precluded their broad use in chemotherapy. Based on the strong conservation of catalytic DNA methyltransferase domains we have used a homology modeling approach to determine the three-dimensional structure of the DNMT1 catalytic domain. Our results suggest an overall structural conservation with other DNA methyltransferases but also in…

DNA (Cytosine-5-)-Methyltransferase 1Models MolecularMethyltransferaseMolecular Sequence DataBiophysicsDNA Methyltransferase InhibitorComputational biologyBiologymedicine.disease_causeModels BiologicalBiochemistryDNA methyltransferasechemistry.chemical_compoundCatalytic DomainTumor Cells CulturedmedicineHumansAmino Acid SequenceDNA (Cytosine-5-)-MethyltransferasesHomology modelingEnzyme InhibitorsMolecular BiologyGeneticsSequence Homology Amino AcidCell BiologyDNA MethylationModels ChemicalchemistryDNA methylationAzacitidineDNMT1Nucleic Acid ConformationCarcinogenesisDNABiochemical and Biophysical Research Communications
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2004

The current progress in sequencing projects calls for rapid, reliable and accurate function assignments of gene products. A variety of methods has been designed to annotate sequences on a large scale. However, these methods can either only be applied for specific subsets, or their results are not formalised, or they do not provide precise confidence estimates for their predictions. We have developed a large-scale annotation system that tackles all of these shortcomings. In our approach, annotation was provided through Gene Ontology terms by applying multiple Support Vector Machines (SVM) for the classification of correct and false predictions. The general performance of the system was bench…

ContigArtificial neural networkApplied MathematicsBiologycomputer.software_genreBiochemistryGenomeComputer Science ApplicationsTerm (time)Support vector machineAnnotationStructural BiologyControlled vocabularyData miningDNA microarrayMolecular BiologycomputerBMC Bioinformatics
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