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Ceslovas Venclovas

Publications and source records attributed to Ceslovas Venclovas.

9 recordsLinked to original sources

Physical and functional interactions between MutY glycosylase homologue (MYH) and checkpoint proteins Rad9-Rad1-Hus1.

The MYH (MutY glycosylase homologue) increases replication fidelity by removing adenines or 2-hydroxyadenine misincorporated opposite GO (7,8-dihydro-8-oxo-guanine). The 9-1-1 complex (Rad9, Rad1 and Hus1 heterotrimer complex) has been suggested as a DNA damage sensor. Here, we report that hMYH (human MYH) interacts with hHus1 (human Hus1) and hRad1 (human Rad1), but not with hRad9. In addition, interactions between MYH and the 9-1-1 complex, from both the fission yeast Schizosaccharomyces pombe and human cells, are partially interchangeable. The major Hus1-binding site is localized to residues 295-350 of hMYH and to residues 245-293 of SpMYH (S. pombe MYH). Val315 of hMYH and Ile261 of SpMYH play important roles for their interactions with Hus1. hHus1 protein and the 9-1-1 complex of S. pombe can enhance the glycosylase activity of SpMYH. Moreover, the interaction of hMYH-hHus1 is enhanced following ionizing radiation. A significant fraction of the hMYH nuclear foci co-localizes with hRad9 foci in H2O2-treated cells. These results reveal that the 9-1-1 complex plays a direct role in base excision repair.

Active Transport, Cell Nucleus↗

DNA sliding clamps: just the right twist to load onto DNA.

Two recent papers illuminate a key step in DNA sliding clamp loading: one reveals the structure of the PCNA clamp wrapped around DNA--still open from being loaded--while the other finds that the clamp may assist this process by forming a right-handed helix upon opening.

DNA↗

PSI-BLAST-ISS: an intermediate sequence search tool for estimation of the position-specific alignment reliability.

BACKGROUND: Protein sequence alignments have become indispensable for virtually any evolutionary, structural or functional study involving proteins. Modern sequence search and comparison methods combined with rapidly increasing sequence data often can reliably match even distantly related proteins that share little sequence similarity. However, even highly significant matches generally may have incorrectly aligned regions. Therefore when exact residue correspondence is used to transfer biological information from one aligned sequence to another, it is critical to know which alignment regions are reliable and which may contain alignment errors. RESULTS: PSI-BLAST-ISS is a standalone Unix-based tool designed to delineate reliable regions of sequence alignments as well as to suggest potential variants in unreliable regions. The region-specific reliability is assessed by producing multiple sequence alignments in different sequence contexts followed by the analysis of the consistency of alignment variants. The PSI-BLAST-ISS output enables the user to simultaneously analyze alignment reliability between query and multiple homologous sequences. In addition, PSI-BLAST-ISS can be used to detect distantly related homologous proteins. The software is freely available at: http://www.ibt.lt/bioinformatics/iss. CONCLUSION: PSI-BLAST-ISS is an effective reliability assessment tool that can be useful in applications such as comparative modelling or analysis of individual sequence regions. It favorably compares with the existing similar software both in the performance and functional features.

Information Storage and Retrieval↗

Sequence-structure mapping errors in the PDB: OB-fold domains.

The Protein Data Bank (PDB) is the single most important repository of structural data for proteins and other biologically relevant molecules. Therefore, it is critically important to keep the PDB data, as much as possible, error-free. In this study, we have analyzed PDB crystal structures possessing oligonucleotide/oligosaccharide binding (OB)-fold, one of the highly populated folds, for the presence of sequence-structure mapping errors. Using energy-based structure quality assessment coupled with sequence analyses, we have found that there are at least five OB-structures in the PDB that have regions where sequences have been incorrectly mapped onto the structure. We have demonstrated that the combination of these computation techniques is effective not only in detecting sequence-structure mapping errors, but also in providing guidance to correct them. Namely, we have used results of computational analysis to direct a revision of X-ray data for one of the PDB entries containing a fairly inconspicuous sequence-structure mapping error. The revised structure has been deposited with the PDB. We suggest use of computational energy assessment and sequence analysis techniques to facilitate structure determination when homologs having known structure are available to use as a reference. Such computational analysis may be useful in either guiding the sequence-structure assignment process or verifying the sequence mapping within poorly defined regions.

Amino Acid Sequence↗

HhaI DNA methyltransferase uses the protruding Gln237 for active flipping of its target cytosine.

Access to a nucleotide by its rotation out of the DNA helix (base flipping) is used by numerous DNA modification and repair enzymes. Despite extensive studies of the paradigm HhaI methyltransferase, initial events leading to base flipping remained elusive. Here we demonstrate that the replacement of the target C:G pair with the 2-aminopurine:T pair in the DNA or shortening of the side chain of Gln237 in the protein severely perturb base flipping, but retain specific DNA binding. Kinetic analyses and molecular modeling suggest that a steric interaction between the protruding side chain of Gln237 and the target cytosine in B-DNA reduces the energy barrier for flipping by 3 kcal/mol. Subsequent stabilization of an open state by further 4 kcal/mol is achieved through specific hydrogen bonding of the side chain to the orphan guanine. Gln237 thus plays a key role in actively opening the target C:G pair by a "push-and-bind" mechanism.

2-Aminopurine↗

Selection and characterization of anti-MUC-1 scFvs intended for targeted therapy.

PURPOSE: The selection and characterization of anti-MUC-1 single-chain antibody fragments (scFv) is a first step toward the construction of new anticancer molecules designed for optimal blood clearance and tumor penetration. The mucin MUC-1 was chosen as an antigen because it is abundantly expressed on epithelial cancers in an aberrantly glycosylated form, making it structurally and antigenically distinct from MUC-1 expressed on normal cells. EXPERIMENTAL DESIGN: A previously constructed anti-MUC-1 phage display library from hyperimmunized mice, with 5 x 10(5) calculated variants, was screened for the selection of anti-MUC-1 scFvs. Selection criteria were high binding to a MUC-1 peptide containing 4 tandem repeats of 20 amino acids and to MUC-1-positive MCF-7 (human breast cancer) cell lysates in ELISA. RESULTS: Six anti-MUC-1 scFv clones were selected and characterized. Nucleotide sequencing showed that four of them were full length scFv genes (variable heavy chain + variable light chain), whereas the remaining two contained either a variable heavy chain or a variable light chain alone. Their binding affinities (K(a)) range between 8 x 10(7) and 10(9) M(-1). Immunohistopathology demonstrated reactivity with breast cancer cells (MCF-7 and BT20) and human breast biopsy tissue. Molecular modeling revealed high structural similarity of the anti-MUC-1 scFvs with the X-ray-determined structure of the anti-CEA scFv (MFE-23). CONCLUSIONS: In vitro antigen binding was demonstrated for the selected anti-MUC-1 scFvs. The binding affinities of these scFvs are in a promising range for efficient in vivo antigen binding. These anti-MUC-1 scFvs will be evaluated as antigen-binding modules in new multifunctional agents for the detection and therapy of cancer.

Amino Acid Sequence↗

Assessment of progress over the CASP experiments.

The quality of structure models produced in the CASP5 experiment has been compared with that in earlier CASPs. The most significant progress is in the fold recognition regime, where the development of meta-servers has allowed more accurate consensus models to be generated. In contrast to this, there is little evidence of progress in producing more accurate comparative models, particularly those based on sequence identities > 30%. For comparative models based on low-sequence identity and for fold recognition models, accuracy depends primarily on the fraction of the target structure that is similar to an available template, and the quality of the alignment. Overall, these results indicate that there are still no effective methods of improving model quality beyond that obtained by successfully copying a template structure. For models of proteins with previously unknown folds, there appears to be a pause in the previous consistent improvement. There is some evidence that more groups are producing top-quality models, however. Although specific progress between successive experiments is sometimes difficulty to identify, over the history of all the CASPs there has been steady, if sometimes slow, progress in all modeling regimes.

Algorithms↗

Comparative modeling in CASP5: progress is evident, but alignment errors remain a significant hindrance.

Models for 20 comparative modeling targets were submitted for the fifth round of the "blind" test of protein structure prediction methods (CASP5; http://predictioncenter.llnl.gov/casp5). The modeling approach used in CASP5 was similar to that used 2 years ago in CASP4 (Venclovas, Proteins 2001; Suppl 5:47-54). The main features of this approach include use of multiple templates, initial assessment of alignment reliability in a region-specific manner, and structure-based selection of alignment variants in unreliable regions. The CASP5 modeling results presented here show significant improvement in comparison to CASP4, especially in the area of distant homology. The improvements include more effective use of multiple templates and better alignments. However, a number of structurally conserved regions in submitted distant homology models were misaligned. Analysis of these errors indicates that the absolute majority of them occurred in regions deemed unreliable in the course of model building. Most of these error-prone regions can be characterized by their peripheral location and a lack of conserved sequence patterns. For a few of the error-prone regions, all methods evaluated during CASP5 proved ineffective, pointing to the need for more sensitive energy-based methods. Despite these remaining issues, the applicability of comparative modeling continues to expand into more distant evolutionary relationships, providing a means to structurally characterize a significant number of currently available protein sequences.

Computational Biology↗

Molecular modeling-based analysis of interactions in the RFC-dependent clamp-loading process.

Replication and related processes in eukaryotic cells require replication factor C (RFC) to load a molecular clamp for DNA polymerase in an ATP-driven process, involving multiple molecular interactions. The detailed understanding of this mechanism is hindered by the lack of data regarding structure, mutual arrangement, and dynamics of the players involved. In this study, we analyzed interactions that take place during loading onto DNA of either the PCNA clamp or the Rad9-Rad1-Hus1 checkpoint complex, using computationally derived molecular models. Combining the modeled structures for each RFC subunit with known structural, biochemical, and genetic data, we propose detailed models of how two of the RFC subunits, RFC1 and RFC3, interact with the C-terminal regions of PCNA. RFC1 is predicted to bind PCNA similarly to the p21-PCNA interaction, while the RFC3-PCNA binding is proposed to be similar to the E. coli delta-beta interaction. Additional sequence and structure analysis, supported by experimental data, suggests that RFC5 might be the third clamp loader subunit to bind the equivalent PCNA region. We discuss functional implications stemming from the proposed model of the RFC1-PCNA interaction and compare putative clamp-interacting regions in RFC1 and its paralogs, Rad17 and Ctf18. Based on the individual intermolecular interactions, we propose RFC and PCNA arrangement that places three RFC subunits in association with each of the three C-terminal regions in PCNA. The two other RFC subunits are positioned at the two PCNA interfaces, with the third PCNA interface left unobstructed. In addition, we map interactions at the level of individual subunits between the alternative clamp loader/clamp system, Rad17-RFC(2-5)/Rad9-Rad1-Hus1. The proposed models of interaction between two clamp/clamp loader pairs provide both structural framework for interpretation of existing experimental data and a number of specific findings that can be subjected to direct experimental testing.

Amino Acid Sequence↗