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Biomedical subjects

L Rychlewski

Publications and source records attributed to L Rychlewski.

At least 19 recordsLinked to original sources
PubMed2001

Reassignment of specificities of two cap methyltransferase domains in the reovirus lambda 2 protein.

BACKGROUND: The reovirus lambda2 protein catalyzes mRNA capping, that is, addition of a guanosine to the 5' end of each transcript in a 5'-to-5' orientation, as well as transfer of a methyl group from S-adenosyl-L-methionine (AdoMet) to the N7 atom of the added guanosyl moiety and subsequently to the ribose 2'-O atom of the first template-encoded nucleotide. The structure of the human reovirus core has been solved at 3.6 A resolution, revealing a series of domains that include a putative guanylyltransferase domain and two putative methyltransferase (MTase) domains. It has been suggested that the order of domains in the lambda2 protein corresponds to the order of reactions in the pathway and that the m7G (cap 0) and the 2'-O-ribose (cap 1) MTase activities may be exerted by the MTase 1 and the MTase 2 domains, respectively. RESULTS: We show that the reovirus MTase 1 domain shares a putative active site with the structurally characterized 2'-O-ribose MTases, including vaccinia virus cap 1 MTase, whereas the MTase 2 domain is structurally similar to glycine N-MTase. CONCLUSIONS: On the basis of our analysis of the structural details we propose that the previously suggested functional assignments of the MTase 1 and MTase 2 domains should be swapped.

Animals↗
PubMed2001

A study of quality measures for protein threading models.

BACKGROUND: Prediction of protein structures is one of the fundamental challenges in biology today. To fully understand how well different prediction methods perform, it is necessary to use measures that evaluate their performance. Every two years, starting in 1994, the CASP (Critical Assessment of protein Structure Prediction) process has been organized to evaluate the ability of different predictors to blindly predict the structure of proteins. To capture different features of the models, several measures have been developed during the CASP processes. However, these measures have not been examined in detail before. In an attempt to develop fully automatic measures that can be used in CASP, as well as in other type of benchmarking experiments, we have compared twenty-one measures. These measures include the measures used in CASP3 and CASP2 as well as have measures introduced later. We have studied their ability to distinguish between the better and worse models submitted to CASP3 and the correlation between them. RESULTS: Using a small set of 1340 models for 23 different targets we show that most methods correlate with each other. Most pairs of measures show a correlation coefficient of about 0.5. The correlation is slightly higher for measures of similar types. We found that a significant problem when developing automatic measures is how to deal with proteins of different length. Also the comparisons between different measures is complicated as many measures are dependent on the size of the target. We show that the manual assessment can be reproduced to about 70% using automatic measures. Alignment independent measures, detects slightly more of the models with the correct fold, while alignment dependent measures agree better when selecting the best models for each target. Finally we show that using automatic measures would, to a large extent, reproduce the assessors ranking of the predictors at CASP3. CONCLUSIONS: We show that given a sufficient number of targets the manual and automatic measures would have given almost identical results at CASP3. If the intent is to reproduce the type of scoring done by the manual assessor in in CASP3, the best approach might be to use a combination of alignment independent and alignment dependent measures, as used in several recent studies.

Computational Biology↗
PubMed2001

mRNA:guanine-N7 cap methyltransferases: identification of novel members of the family, evolutionary analysis, homology modeling, and analysis of sequence-structure-function relationships.

BACKGROUND: The 5'-terminal cap structure plays an important role in many aspects of mRNA metabolism. Capping enzymes encoded by viruses and pathogenic fungi are attractive targets for specific inhibitors. There is a large body of experimental data on viral and cellular methyltransferases (MTases) that carry out guanine-N7 (cap 0) methylation, including results of extensive mutagenesis. However, a crystal structure is not available and cap 0 MTases are too diverged from other MTases of known structure to allow straightforward homology-based interpretation of these data. RESULTS: We report a 3D model of cap 0 MTase, developed using sequence-to-structure threading and comparative modeling based on coordinates of the glycine N-methyltransferase. Analysis of the predicted structural features in the phylogenetic context of the cap 0 MTase family allows us to rationalize most of the experimental data available and to propose potential binding sites. We identified a case of correlated mutations in the cofactor-binding site of viral MTases that may be important for the rational drug design. Furthermore, database searches and phylogenetic analysis revealed a novel subfamily of hypothetical MTases from plants, distinct from "orthodox" cap 0 MTases. CONCLUSIONS: Computational methods were used to infer the evolutionary relationships and predict the structure of Eukaryotic cap MTase. Identification of novel cap MTase homologs suggests candidates for cloning and biochemical characterization, while the structural model will be useful in designing new experiments to better understand the molecular function of cap MTases.

Amino Acid Motifs↗
PubMed2001

Identification of a PD-(D/E)XK-like domain with a novel configuration of the endonuclease active site in the methyl-directed restriction enzyme Mrr and its homologs.

The Escherichia coli K-12 restriction enzyme Mrr recognizes and cleaves N6-methyladenine- and 5-methylcytosine-containing DNA. Its amino acid sequence has been subjected to structure prediction and comparison with other sequences from publicly available sources. The results obtained suggest that Mrr and related putative endonucleases possess a cleavage domain typical for all the so far structurally characterized type II restriction enzymes, however with an unusual glutamine residue at the central position of the (D/E)-(D/E)XK hallmark of the active site. The "missing" acidic side chain was instead found anchored in a different, unusual position, suggesting that Mrr represents a third topological variant of the endonuclease active site in addition to the two alternatives determined previously (Skirgaila et al., 1998. J. Mol. Biol. 279, 473-481). One of the newly identified putative endonucleases from the Mrr family is composed of two diverged cleavage domains, which possess both the "typical" D-EXK and the "Mrr-like" D-QXK variants of the active site. Among the Mrr homologs there are also proteins from yeast, in which restriction phenotype has not been observed, suggesting that the free-standing Eukaryotic PD-(D/E)XK superfamily members might be implicated in other cellular processes involving enzymatic DNA cleavage.

Amino Acid Sequence↗
PubMed2001

The herpesvirus alkaline exonuclease belongs to the restriction endonuclease PD-(D/E)XK superfamily: insight from molecular modeling and phylogenetic analysis.

The PD-(D/E)XK superfamily of deoxyribonucleases (ENases) comprises restriction endonucleases, exonucleases and nicking enzymes, which share a common fold and the architecture of the active site. Their extreme divergence generally hampers identification of novel members based solely on sequence comparisons. Here we report a remote similarity between the phage lambda exonuclease (lambda-exo), branching out early in the evolutionary history of ENases (3), with the family of alkaline exonucleases (AE) encoded by various viruses infecting higher Eukaryota. The predicted structural compatibility and the conservation of the functionally important residues between AE and ENases strongly suggest a distant evolutionary relationship between these proteins. According to the results of extensive sequence database mining, sequence/structure threading and molecular modeling it is plausible that the AE proteins with lambda-exo and some other putative phage-encoded exonucleases form a distinct subfamily of PD-(D/E)XK ENases. The phylogenetic history of this subfamily is inferred using sequence alignment and distance matrix methods.

Amino Acid Sequence↗
PubMed2001

Structure prediction meta server.

UNLABELLED: The Structure Prediction Meta Server offers a convenient way for biologists to utilize various high quality structure prediction servers available worldwide. The meta server translates the results obtained from remote services into uniform format, which are consequently used to request a jury prediction from a remote consensus server Pcons. AVAILABILITY: The structure prediction meta server is freely available at http://BioInfo.PL/meta/, some remote servers have however restrictions for non-academic users, which are respected by the meta server. SUPPLEMENTARY INFORMATION: Results of several sessions of the CAFASP and LiveBench programs for assessment of performance of fold-recognition servers carried out via the meta server are available at http://BioInfo.PL/services.html.

Amino Acid Sequence↗
PubMed2001

Unusual evolutionary history of the tRNA splicing endonuclease EndA: relationship to the LAGLIDADG and PD-(D/E)XK deoxyribonucleases.

The tRNA splicing endoribonuclease EndA from Methanococcus jannaschii is a homotetramer formed via heterologous interaction between the two pairs of homodimers. Each monomer consists of two alpha/beta domains, the N-terminal domain (NTD) and the C-terminal domain (CTD) containing the RNase A-like active site. Comparison of the EndA coordinates with the publicly available protein structure database revealed the similarity of both domains to site-specific deoxyribonucleases: the NTD to the LAGLIDADG family and the CTD to the PD-(D/E)XK family. Superposition of the NTD on the catalytic domain of LAGLIDADG homing endonucleases allowed a suggestion to be made about which amino acid residues of the tRNA splicing nuclease might participate in formation of a presumptive cryptic deoxyribonuclease active site. On the other hand, the CTD and PD-(D/E)XK endonucleases, represented by restriction enzymes and a phage lambda exonuclease, were shown to share extensive similarities of the structural framework, to which entirely different active sites might be attached in two alternative locations. These findings suggest that EndA evolved from a fusion protein with at least two distinct endonuclease activities: the ribonuclease, which made it an essential "antitoxin" for the cells whose RNA genes were interrupted by introns, and the deoxyribonuclease, which provided the means for homing-like mobility. The residues of the noncatalytic CTDs from the positions corresponding to the catalytic side chains in PD-(D/E)XK deoxyribonucleases map to the surface at the opposite side to the tRNA binding site, for which no function has been implicated. Many restriction enzymes from the PD-(D/E)XK superfamily might have the potential to maintain an additional active or binding site at the face opposite the deoxyribonuclease active site, a property that can be utilized in protein engineering.

Binding Sites↗
PubMed2001

LiveBench-1: continuous benchmarking of protein structure prediction servers.

We present a novel, continuous approach aimed at the large-scale assessment of the performance of available fold-recognition servers. Six popular servers were investigated: PDB-Blast, FFAS, T98-lib, GenTHREADER, 3D-PSSM, and INBGU. The assessment was conducted using as prediction targets a large number of selected protein structures released from October 1999 to April 2000. A target was selected if its sequence showed no significant similarity to any of the proteins previously available in the structural database. Overall, the servers were able to produce structurally similar models for one-half of the targets, but significantly accurate sequence-structure alignments were produced for only one-third of the targets. We further classified the targets into two sets: easy and hard. We found that all servers were able to find the correct answer for the vast majority of the easy targets if a structurally similar fold was present in the server's fold libraries. However, among the hard targets--where standard methods such as PSI-BLAST fail--the most sensitive fold-recognition servers were able to produce similar models for only 40% of the cases, half of which had a significantly accurate sequence-structure alignment. Among the hard targets, the presence of updated libraries appeared to be less critical for the ranking. An "ideally combined consensus" prediction, where the results of all servers are considered, would increase the percentage of correct assignments by 50%. Each server had a number of cases with a correct assignment, where the assignments of all the other servers were wrong. This emphasizes the benefits of considering more than one server in difficult prediction tasks. The LiveBench program (http://BioInfo.PL/LiveBench) is being continued, and all interested developers are cordially invited to join.

Computer Simulation↗
PubMed2001

Grouping together highly diverged PD-(D/E)XK nucleases and identification of novel superfamily members using structure-guided alignment of sequence profiles.

The PD-(D/E)XK nuclease domains, initially identified in type II restriction enzymes, serve as models for studying aspects of protein-DNA interactions, mechanisms of phosphodiester hydrolysis, and provide indispensable tools for techniques in genetic engineering and molecular medicine. However, the low degree of amino acid conservation hampers the possibility of identification of PD-(D/E)XK superfamily members based solely on sequence comparisons. In several proteins implicated in DNA recombination and repair the restriction enzyme-like nuclease domain has been found only after the corresponding structures were determined experimentally. Here, we identified highly diverged variants of the PD-(D/E)XK domain in many proteins and open reading frames using iterative database searches and progressive, structure-guided alignment of sequence profiles. We predicted the possible cellular function for many hypothetical proteins based on their relative similarity to characterized nucleases or observed presence of additional domains. We also identified the nuclease domain in genuine recombinases and restriction enzymes, whose homology to other PD-(D/E)XK enzymes has not been demonstrated previously. The first superfamily-wide comparative analysis, not limited to nucleases of known structure, will guide cloning and characterization of novel enzymes and planning new experiments to better understand those already studied.

Amino Acid Sequence↗
PubMed2001

Sequence analysis and structure prediction of aminoglycoside-resistance 16S rRNA:m7G methyltransferases.

Methylation of G1405 within bacterial 16S ribosomal RNA results in high-level resistance to specific combinations of aminoglycoside antibiotics. Only a few closely related methyltransferases (MTases), which carry out the respective modification (here dubbed "Agr", for aminoglycoside resistance), are known. It is not clear, whether they are related to "typical" S-adenosylmethionine (AdoMet)-dependent MTases or not. Demydchuk et al., 1998 proposed that the cofactor-binding region is localized at the C-terminus of Agr MTases, which implies an interesting case of sequence permutation. Since the Agr MTases lack significant sequence similarity to other proteins, we tested that hypothesis using more sensitive sequence/structure threading approach. Structure prediction confirmed the presence of a putative AdoMet-binding site in these proteins, albeit at a distinct location, resembling that of "typical", non-permuted MTases. Additionally, a small alpha-helical domain dissimilar to other proteins in the database was identified in the N-terminal region of Agr MTases. Comparison of a three-dimensional model of the Agr family member with a recently solved structure of reovirus mRNA capping MTase suggests that the mechanism of guanine-N7 methylation in rRNA and mRNA may be different.

Actinomycetales↗
PubMed2000

ATP-activated oligomerization as a mechanism for apoptosis regulation: fold and mechanism prediction for CED-4.

Fold recognition algorithm FFAS (Rychlewski et al., Protein Sci, 2000;9:232-241) was used to match the nucleotide-binding adaptor shared by APAF-1, certain R gene products and CED-4 (NB-ARC domain) to the structure of the D2 domain of N-ethylemaleimide-Sensitive Fusion Protein and the delta; subunit of clamp loader of DNA polymerase III. The predicted structure consists of the p-loop ATP-binding domain, followed by two alpha-helical domains that regulate the oligomerization process. This prediction suggests a detailed molecular mechanism for the "induced proximity" hypothesis (Salvesen and Dixit, Proc Natl Acad Sci USA 1999;96:10964-10967) for CED3/caspase-9 activation by CED4/APAF-1 complex. According to this model, the ATP binding acts as a trigger in CED-4 oligomerization and the helical domain immediately following the ATP-binding domain provides additional mechanisms for regulation of the oligomerization process. This model explains most of known experimental data about CED-4-mediated caspase activation and, at the same time, suggest experiments that could test this hypothesis.

Adenosine Triphosphate↗
PubMed2000

From fold to function predictions: an apoptosis regulator protein BID.

With the rapidly increasing pace of genome sequencing projects and the resulting flood of predicted amino acid sequences of uncharacterized proteins, protein sequence analysis, and in particular, protein structure prediction is quickly gaining in importance. Prediction algorithms can be used for preliminary annotation of newly sequenced proteins and, at least in some cases, provide insights into their function and specific mode of action. Such annotations for several microbial genomes were performed by several groups and placed in public domain for evaluation. An example presented in this work comes from a related project of structural and functional predictions for proteins involved in the process of controlled cell death (apoptosis). The BID protein belongs to an important class of regulators of apoptosis identified by short sequence motifs. Here, several fold prediction methods are used to build a series of three-dimensional models. Structure analysis of the models with reference to the biological data available allows selection of the most appropriate model. It is found that the most likely structural model of BID is built on the structure of Bcl-X(L). The model is discussed in terms of experimental data on specific proteolytic cleavage of BID and its effect on BID interactions with other proteins and membranes.

Algorithms↗
PubMed2000

MaxSub: an automated measure for the assessment of protein structure prediction quality.

MOTIVATION: Evaluating the accuracy of predicted models is critical for assessing structure prediction methods. Because this problem is not trivial, a large number of different assessment measures have been proposed by various authors, and it has already become an active subfield of research (Moult et al. (1997,1999) and CAFASP (Fischer et al. 1999) prediction experiments have demonstrated that it has been difficult to choose one single, 'best' method to be used in the evaluation. Consequently, the CASP3 evaluation was carried out using an extensive set of especially developed numerical measures, coupled with human-expert intervention. As part of our efforts towards a higher level of automation in the structure prediction field, here we investigate the suitability of a fully automated, simple, objective, quantitative and reproducible method that can be used in the automatic assessment of models in the upcoming CAFASP2 experiment. Such a method should (a) produce one single number that measures the quality of a predicted model and (b) perform similarly to human-expert evaluations. RESULTS: MaxSub is a new and independently developed method that further builds and extends some of the evaluation methods introduced at CASP3. MaxSub aims at identifying the largest subset of C(alpha) atoms of a model that superimpose 'well' over the experimental structure, and produces a single normalized score that represents the quality of the model. Because there exists no evaluation method for assessment measures of predicted models, it is not easy to evaluate how good our new measure is. Even though an exact comparison of MaxSub and the CASP3 assessment is not straightforward, here we use a test-bed extracted from the CASP3 fold-recognition models. A rough qualitative comparison of the performance of MaxSub vis-a-vis the human-expert assessment carried out at CASP3 shows that there is a good agreement for the more accurate models and for the better predicting groups. As expected, some differences were observed among the medium to poor models and groups. Overall, the top six predicting groups ranked using the fully automated MaxSub are also the top six groups ranked at CASP3. We conclude that MaxSub is a suitable method for the automatic evaluation of models.

Algorithms↗
PubMed2000

The 2000 Olympic Games of protein structure prediction; fully automated programs are being evaluated vis-à-vis human teams in the protein structure prediction experiment CAFASP2.

In this commentary, we describe two new protein structure prediction experiments being run in parallel with the CASP experiment, which together may be regarded as the 2000 Olympic Games of structure prediction. The first new experiment is CAFASP, the Critical Assessment of Fully Automated Structure Prediction. In CAFASP, the participants are fully automated programs or Internet servers, and here the automated results of the programs are evaluated, without any human intervention. The second new experiment, named LiveBench, follows the CAFASP ideology in that it is aimed towards the evaluation of automatic servers only, while it runs on a large set of prediction targets and in a continuous fashion. Researchers will be watching the 2000 protein structure prediction Olympic Games, to be held in December, in order to learn about the advances in the classical 'human-plus-machine' CASP category, the fully automated CAFASP category, and the comparison between the two.

Amino Acid Sequence↗
PubMed2000

Comparison of sequence profiles. Strategies for structural predictions using sequence information.

Distant homologies between proteins are often discovered only after three-dimensional structures of both proteins are solved. The sequence divergence for such proteins can be so large that simple comparison of their sequences fails to identify any similarity. New generation of sensitive alignment tools use averaged sequences of entire homologous families (profiles) to detect such homologies. Several algorithms, including the newest generation of BLAST algorithms and BASIC, an algorithm used in our group to assign fold predictions for proteins from several genomes, are compared to each other on the large set of structurally similar proteins with little sequence similarity. Proteins in the benchmark are classified according to the level of their similarity, which allows us to demonstrate that most of the improvement of the new algorithms is achieved for proteins with strong functional similarities, with almost no progress in recognizing distant fold similarities. It is also shown that details of profile calculation strongly influence its sensitivity in recognizing distant homologies. The most important choice is how to include information from diverging members of the family, avoiding generating false predictions, while accounting for entire sequence divergence within a family. PSI-BLAST takes a conservative approach, deriving a profile from core members of the family, providing a solid improvement without almost any false predictions. BASIC strives for better sensitivity by increasing the weight of divergent family members and paying the price in lower reliability. A new FFAS algorithm introduced here uses a new procedure for profile generation that takes into account all the relations within the family and matches BASIC sensitivity with PSI-BLAST like reliability.

Algorithms↗