Biomedical subjects

Agnieszka Obarska

Publications and source records attributed to Agnieszka Obarska.

4 recordsLinked to original sources

PubMed2006

Identification of a new subfamily of HNH nucleases and experimental characterization of a representative member, HphI restriction endonuclease.

The restriction endonuclease (REase) R. HphI is a Type IIS enzyme that recognizes the asymmetric target DNA sequence 5'-GGTGA-3' and in the presence of Mg(2+) hydrolyzes phosphodiester bonds in both strands of the DNA at a distance of 8 nucleotides towards the 3' side of the target, producing a 1 nucleotide 3'-staggered cut in an unspecified sequence at this position. REases are typically ORFans that exhibit little similarity to each other and to any proteins in the database. However, bioinformatics analyses revealed that R.HphI is a member of a relatively big sequence family with a conserved C-terminal domain and a variable N-terminal domain. We predict that the C-terminal domains of proteins from this family correspond to the nuclease domain of the HNH superfamily rather than to the most common PD-(D/E)XK superfamily of nucleases. We constructed a three-dimensional model of the R.HphI catalytic domain and validated our predictions by site-directed mutagenesis and studies of DNA-binding and catalytic activities of the mutant proteins. We also analyzed the genomic neighborhood of R.HphI homologs and found that putative nucleases accompanied by a DNA methyltransferase (i.e. predicted REases) do not form a single group on a phylogenetic tree, but are dispersed among free-standing putative nucleases. This suggests that nucleases from the HNH superfamily were independently recruited to become REases in the context of RM systems multiple times in the evolution and that members of the HNH superfamily may be much more frequent among the so far unassigned REase sequences than previously thought.

Amino Acid Sequence↗

PubMed2006

Structural model for the multisubunit Type IC restriction-modification DNA methyltransferase M.EcoR124I in complex with DNA.

Recent publication of crystal structures for the putative DNA-binding subunits (HsdS) of the functionally uncharacterized Type I restriction-modification (R-M) enzymes MjaXIP and MgeORF438 have provided a convenient structural template for analysis of the more extensively characterized members of this interesting family of multisubunit molecular motors. Here, we present a structural model of the Type IC M.EcoR124I DNA methyltransferase (MTase), comprising the HsdS subunit, two HsdM subunits, the cofactor AdoMet and the substrate DNA molecule. The structure was obtained by docking models of individual subunits generated by fold-recognition and comparative modelling, followed by optimization of inter-subunit contacts by energy minimization. The model of M.EcoR124I has allowed identification of a number of functionally important residues that appear to be involved in DNA-binding. In addition, we have mapped onto the model the location of several new mutations of the hsdS gene of M.EcoR124I that were produced by misincorporation mutagenesis within the central conserved region of hsdS, we have mapped all previously identified DNA-binding mutants of TRD2 and produced a detailed analysis of the location of surface-modifiable lysines. The model structure, together with location of the mutant residues, provides a better background on which to study protein-protein and protein-DNA interactions in Type I R-M systems.

Amino Acid Sequence↗

PubMed2006

Molecular phylogenetics and comparative modeling of HEN1, a methyltransferase involved in plant microRNA biogenesis.

BACKGROUND: Recently, HEN1 protein from Arabidopsis thaliana was discovered as an essential enzyme in plant microRNA (miRNA) biogenesis. HEN1 transfers a methyl group from S-adenosylmethionine to the 2'-OH or 3'-OH group of the last nucleotide of miRNA/miRNA* duplexes produced by the nuclease Dicer. Previously it was found that HEN1 possesses a Rossmann-fold methyltransferase (RFM) domain and a long N-terminal extension including a putative double-stranded RNA-binding motif (DSRM). However, little is known about the details of the structure and the mechanism of action of this enzyme, and about its phylogenetic origin. RESULTS: Extensive database searches were carried out to identify orthologs and close paralogs of HEN1. Based on the multiple sequence alignment a phylogenetic tree of the HEN1 family was constructed. The fold-recognition approach was used to identify related methyltransferases with experimentally solved structures and to guide the homology modeling of the HEN1 catalytic domain. Additionally, we identified a La-like predicted RNA binding domain located C-terminally to the DSRM domain and a domain with a peptide prolyl cis/trans isomerase (PPIase) fold, but without the conserved PPIase active site, located N-terminally to the catalytic domain. CONCLUSION: The bioinformatics analysis revealed that the catalytic domain of HEN1 is not closely related to any known RNA:2'-OH methyltransferases (e.g. to the RrmJ/fibrillarin superfamily), but rather to small-molecule methyltransferases. The structural model was used as a platform to identify the putative active site and substrate-binding residues of HEN and to propose its mechanism of action.

Amino Acid Sequence↗

PubMed2005

FRankenstein becomes a cyborg: the automatic recombination and realignment of fold recognition models in CASP6.

In the course of CASP6, we generated models for all targets using a new version of the "FRankenstein's monster approach." Previously (in CASP5) we were able to build many very accurate full-atom models by selection and recombination of well-folded fragments obtained from crude fold recognition (FR) results, followed by optimization of the sequence-structure fit and assessment of alternative alignments on the structural level. This procedure was however very arduous, as most of the steps required extensive visual and manual input from the human modeler. Now, we have automated the most tedious steps, such as superposition of alternative models, extraction of best-scoring fragments, and construction of a hybrid "monster" structure, as well as generation of alternative alignments in the regions that remain poorly scored in the refined hybrid model. We have also included the ROSETTA method to construct those parts of the target for which no reasonable structures were generated by FR methods (such as long insertions and terminal extensions). The analysis of successes and failures of the current version of the FRankenstein approach in modeling of CASP6 targets reveals that the considerably streamlined and automated method performs almost as well as the initial, mostly manual version, which suggests that it may be a useful tool for accurate protein structure prediction even in the hands of nonexperts.

Algorithms↗