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Results for “structural genomics”

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At least 19 recordsLinked to original sources

PubMed1998

Characterization of a novel class of interspersed LTR elements in primate genomes: structure, genomic distribution, and evolution.

Retrovirus-like sequences and their solitary (solo) long terminal repeats (LTRs) are common repetitive elements in eukaryotic genomes. We reported previously that the tandemly arrayed genes encoding U2 snRNA (the RNU2 locus) in humans and apes contain a solo LTR (U2-LTR) which was presumably generated by homologous recombination between the two LTRs of an ancestral provirus that is retained in the orthologous baboon RNU2 locus. We have now sequenced the orthologous U2-LTRs in human, chimpanzee, gorilla, orangutan, and baboon and examined numerous homologs of the U2-LTR that are dispersed throughout the human genome. Although these U2-LTR homologs have been collectively referred to as LTR13 in the literature, they do not display sequence similarity to any known retroviral LTRs; however, the structure of LTR13 closely resembles that of other retroviral LTRs with a putative promoter, polyadenylation signal, and a tandemly repeated 53-bp enhancer-like element. Genomic blotting indicates that LTR13 is primate-specific; based on sequence analysis, we estimate there are about 2,500 LTR13 elements in the human genome. Comparison of the primate U2-LTR sequences suggests that the homologous recombination event that gave rise to the solo U2-LTR occurred soon after insertion of the ancestral provirus into the ancestral U2 tandem array. Phylogenetic analysis of the LTR13 family confirms that it is diverse, but the orthologous U2-LTRs form a coherent group in which chimpanzee is closest to the humans; orangutan is a clear outgroup of human, chimpanzee, and gorilla; and baboon is a distant relative of human, chimpanzee, gorilla, and orangutan. We compare the LTR13 family with other known LTRs and consider whether these LTRs might play a role in concerted evolution of the primate RNU2 locus.

Animals↗

PubMed1994

A phospholipase A2 inhibitor from the plasma of the South American rattlesnake (Crotalus durissus terrificus). Protein structure, genomic structure, and mechanism of action.

The lethal toxicity of the South American rattlesnake (Crotalus durissus terrificus) venom can be attributed mainly to the presence of a pre-synaptic neurotoxin, crotoxin, with phospholipase A2 activity. Crotoxin is a heterodimer of an acidic protein (CA) and a basic phospholipase A2 (CB). An anti-toxic protein of subunit molecular mass 23.6 kDa that neutralizes both lethal and PLA2 activity of crotalid venom and crotoxin has been previously purified from the plasma of this snake (Fortes-Dias, C., Fonseca, B. C. B., Kochva, E., and Diniz, C. R. (1991) Toxicon 29, 997-1008). The protein has been named CNF for Crotalus neutralizing factor. In the present study, we have shown that CNF exists as an oligomeric aggregate of (CNF)n, where n = 6-8, and when it interacts with crotoxin, it replaces the acidic protein CA of crotoxin to form a stable near stoichiometric complex of CNF.CB. The CNF.CB complex no longer exhibits PLA2 activity and is inert in vivo. Thus, the exchange reaction between CA.CB of crotoxin and CNF to form CNF.CB and free CA is reminiscent of the interaction of crotoxin with its target receptor at the neuromuscular transmission site in the presynaptic cells. A cDNA encoding CNF has been isolated from a liver cDNA library using an appropriate nucleotide probe. The nucleotide sequence codes for a 19-residue signal peptide, followed by a 181-residue protein of which 16 are half-cystines. Calculated molecular mass is 20.06 kDa, and there is a putative N-linked carbohydrate site at Asn157.

Amino Acid Sequence↗

PubMed2002

Residual dipolar couplings: synergy between NMR and structural genomics.

Structural genomics is on a quest for the structure and function of a significant fraction of gene products. Current efforts are focusing on structure determination of single-domain proteins, which can readily be targeted by X-ray crystallography, NMR spectroscopy and computational homology modeling. However, comprehensive association of gene products with functions also requires systematic determination of more complex protein structures and other biomolecules participating in cellular processes such as nucleic acids, and characterization of biomolecular interactions and dynamics relevant to function. Such NMR investigations are becoming more feasible, not only due to recent advances in NMR methodology, but also because structural genomics is providing valuable structural information and new experimental and computational tools. The measurement of residual dipolar couplings in partially oriented systems and other new NMR methods will play an important role in this synergistic relationship between NMR and structural genomics. Both an expansion in the domain of NMR application, and important contributions to future structural genomics efforts can be anticipated.

Animals↗

PubMed2006

Solution NMR in structural genomics.

Structural genomics (also known as structural proteomics) aims to generate accurate three-dimensional models for all folded, globular proteins and domains in the protein universe to understand the relationship between protein sequence, structure and function. NMR spectroscopy of small (<20 kDa) proteins has been used successfully within several large-scale structural genomics projects for more than six years now. Recent advances coming from traditional NMR structural biology laboratories as well as large scale centers and consortia using NMR for structural genomics promise to facilitate NMR analysis making it even a more efficient and increasingly automated procedure.

Animals↗

PubMed2004

High-throughput computational and experimental techniques in structural genomics.

Structural genomics has as its goal the provision of structural information for all possible ORF sequences through a combination of experimental and computational approaches. The access to genome sequences and cloning resources from an ever-widening array of organisms is driving high-throughput structural studies by the New York Structural Genomics Research Consortium. In this report, we outline the progress of the Consortium in establishing its pipeline for structural genomics, and some of the experimental and bioinformatics efforts leading to structural annotation of proteins. The Consortium has established a pipeline for structural biology studies, automated modeling of ORF sequences using solved (template) structures, and a novel high-throughput approach (metallomics) to examining the metal binding to purified protein targets. The Consortium has so far produced 493 purified proteins from >1077 expression vectors. A total of 95 have resulted in crystal structures, and 81 are deposited in the Protein Data Bank (PDB). Comparative modeling of these structures has generated >40,000 structural models. We also initiated a high-throughput metal analysis of the purified proteins; this has determined that 10%-15% of the targets contain a stoichiometric structural or catalytic transition metal atom. The progress of the structural genomics centers in the U.S. and around the world suggests that the goal of providing useful structural information on most all ORF domains will be realized. This projected resource will provide structural biology information important to understanding the function of most proteins of the cell.

Algorithms↗

PubMed2000

An integrated approach to structural genomics.

Structural genomics aims at determining a set of protein structures that will represent all domain folds present in the biosphere. These structures can be used as the basis for the homology modelling of the majority of all remaining protein domains or, indeed, proteins. Structural genomics therefore promises to provide a comprehensive structural description of the protein universe. To achieve this, a broad scientific effort is required. The Berlin-based "Protein Structure Factory" (PSF) plans to contribute to this effort by setting up a local infrastructure for the low-cost, high-throughput analysis of soluble human proteins. In close collaboration with the German Human Genome Project (DHGP) protein-coding genes will be expressed in Escherichia coli or yeast. Affinity-tagged proteins will be purified semi-automatically for biophysical characterization and structure analysis by X-ray diffraction methods and NMR spectroscopy. In all steps of the structure analysis process, possibilities for automation, parallelization and standardization will be explored. Major new facilities that are created for the PSF include a robotic station for large-scale protein crystallization, an NMR center and an experimental station for protein crystallography at the synchrotron storage ring BESSY II in Berlin.

Crystallography, X-Ray↗

PubMed2001

Completeness in structural genomics.

Structural genomics has the goal of obtaining useful, three-dimensional models of all proteins by a combination of experimental structure determination and comparative model building. We evaluate different strategies for optimizing information return on effort. The strategy that maximizes structural coverage requires about seven times fewer structure determinations compared with the strategy in which targets are selected at random. With a choice of reasonable model quality and the goal of 90% coverage, we extrapolate the estimate of the total effort of structural genomics. It would take approximately 16,000 carefully selected structure determinations to construct useful atomic models for the vast majority of all proteins. In practice, unless there is global coordination of target selection, the total effort will likely increase by a factor of three. The task can be accomplished within a decade provided that selection of targets is highly coordinated and significant funding is available.

Algorithms↗

PubMed2002

Applications of NMR to structure-based drug design in structural genomics.

Structural genomics is poised to have a tremendous impact on traditional structure-based drug design programs. As a result, there is a growing need to obtain rapid structural information in a reliable form that is amenable to rational drug design. In this manner, NMR has been expanding and evolving its role in aiding the design process. A variety of NMR methodologies that cover a range of inherent resolution are described in the context of structure-based drug design in the era of structural genomics.

Chromatography, Gel↗

PubMed2003

More for less in structural genomics.

Structural genomics is the idea of covering protein space so that every protein sequence comes within model building distance of a protein of known structure. Unfortunately, reproducing the structural alignment of distantly related proteins is a difficult challenge to existing sequence alignment and motif search software. We have developed a new transitive alignment algorithm (MaxFlow), which generates accurate alignments between proteins deep in the twilight zone of sequence similarity, below 20% sequence identity. In particular, MaxFlow reliably identifies conserved core motifs between proteins which are only indirect PSI-Blast neighbours. Based on MaxFlow alignments, useful 3D models can be generated for all members of a superfamily from as few as a single structural template--despite hundreds of representatives at 40% sequence identity level and patchy detection of homology by PSI-Blast. We propose novel strategies for target prioritization using MaxFlow scores to predict the optimal templates in a superfamily. Our results support an increase in the granularity of covering protein space that has potentially enormous economic implications for planning the transition to the full production phase of structural genomics.

Algorithms↗

PubMed2000

Automated search of natively folded protein fragments for high-throughput structure determination in structural genomics.

Structural genomic projects envision almost routine protein structure determinations, which are currently imaginable only for small proteins with molecular weights below 25,000 Da. For larger proteins, structural insight can be obtained by breaking them into small segments of amino acid sequences that can fold into native structures, even when isolated from the rest of the protein. Such segments are autonomously folding units (AFU) and have sizes suitable for fast structural analyses. Here, we propose to expand an intuitive procedure often employed for identifying biologically important domains to an automatic method for detecting putative folded protein fragments. The procedure is based on the recognition that large proteins can be regarded as a combination of independent domains conserved among diverse organisms. We thus have developed a program that reorganizes the output of BLAST searches and detects regions with a large number of similar sequences. To automate the detection process, it is reduced to a simple geometrical problem of recognizing rectangular shaped elevations in a graph that plots the number of similar sequences at each residue of a query sequence. We used our program to quantitatively corroborate the premise that segments with conserved sequences correspond to domains that fold into native structures. We applied our program to a test data set composed of 99 amino acid sequences containing 150 segments with structures listed in the Protein Data Bank, and thus known to fold into native structures. Overall, the fragments identified by our program have an almost 50% probability of forming a native structure, and comparable results are observed with sequences containing domain linkers classified in SCOP. Furthermore, we verified that our program identifies AFU in libraries from various organisms, and we found a significant number of AFU candidates for structural analysis, covering an estimated 5 to 20% of the genomic databases. Altogether, these results argue that methods based on sequence similarity can be useful for dissecting large proteins into small autonomously folding domains, and such methods may provide an efficient support to structural genomics projects.

Algorithms↗

PubMed2000

Expectations from structural genomics.

Structural genomics projects aim to provide an experimental structure or a good model for every protein in all completed genomes. Most of the experimental work for these projects will be directed toward proteins whose fold cannot be readily recognized by simple sequence comparison with proteins of known structure. Based on the history of proteins classified in the SCOP structure database, we expect that only about a quarter of the early structural genomics targets will have a new fold. Among the remaining ones, about half are likely to be evolutionarily related to proteins of known structure, even though the homology could not be readily detected by sequence analysis.

Databases, Factual↗

PubMed2004

Expression screening, protein purification and NMR analysis of human protein domains for structural genomics.

Structural genomics, the determination of protein structures on a genome-wide scale, is still in its infancy for eukaryotes due to the number and size of their genes. Low protein expression and solubility of eukaryotic geneproducts are the major bottlenecks in high-throughput (HTP) recombinant protein production with the E. coli expression systems. To circumvent this problem we decided to focus on separate protein domains. We describe here a fast microtiterplate based, expression and solubility screening procedure, using a combination of in vitro and in vivo expression, and purification with nickel-NTA magnetic beads. All steps are optimized for automatic HTP processing using a liquid handling station. Furthermore, large-scale expression and protein purification conditions are optimized, permitting the purification of 24 protein samples per week. We further show that results obtained from the expression screening can be extrapolated to the production of protein samples for NMR. Starting with 81 cloned human protein domains, in vivo expression was detected in 54 cases, and from 28 of those milligrams of protein were purified. An informative HSQC spectrum was recorded for 18 proteins (22%), half of which were indicative of a folded protein. The success rate and quality of the HSQC spectra suggest that the domain approach holds promise for human proteins.

Cloning, Molecular↗

PubMed2002

Engineering soluble proteins for structural genomics.

Structural genomics has the ambitious goal of delivering three-dimensional structural information on a genome-wide scale. Yet only a small fraction of natural proteins are suitable for structure determination because of bottlenecks such as poor expression, aggregation, and misfolding of proteins, and difficulties in solubilization and crystallization. We propose to overcome these bottlenecks by producing soluble, highly expressed proteins that are derived from and closely related to their natural homologs. Here we demonstrate the utility of this approach by using a green fluorescent protein (GFP) folding reporter assay to evolve an enzymatically active, soluble variant of a hyperthermophilic protein that is normally insoluble when expressed in Escherichia coli, and determining its structure by X-ray crystallography. Analysis of the structure provides insight into the substrate specificity of the enzyme and the improved solubility of the variant.

Evolution, Molecular↗

PubMed2000

Target selection for structural genomics.

Structural genomics aims to use high-throughput structure determination and computational analysis to provide three-dimensional models of every tractable protein. The process of choosing proteins for experimental structure characterization is known as target selection. In this nomenclature, the targets are regions of proteins to be studied by crystallography or NMR. Selection of the targets is principally a computational process of restricting candidate proteins to those that are tractable and of unknown structure, and prioritizing according to expected interest and accessibility.

Computational Biology↗

PubMed2001

A tour of structural genomics.

Structural genomics projects aim to provide an experimental or computational three-dimensional model structure for all of the tractable macromolecules that are encoded by complete genomes. To this end, pilot centres worldwide are now exploring the feasibility of large-scale structure determination. Their experimental structures and computational models are expected to yield insight into the molecular function and mechanism of thousands of proteins. The pervasiveness of this information is likely to change the use of structure in molecular biology and biochemistry.

Amino Acid Sequence↗

PubMed2004

Bottlenecks and roadblocks in high-throughput XAS for structural genomics.

Structural and functional characterization of the entire protein complement (the proteome) of an organism can provide an infrastructure upon which questions about biological pathways and systems biology can be framed. The technology necessary to perform this proteome-level structural and functional characterization is under development in numerous structural genomics and functional genomics initiatives. Given the ubiquity of metal active sites in a proteome, it seems appropriate to ask whether comprehensive local structural characterization of metal sites within a proteome (metalloproteomics) is either a valid or obtainable goal. With a proteome-wide knowledge of the active-site structures of all metalloproteins, one could start to ask how metal insertion, cluster assembly and metalloprotein expression are affected by growth conditions or developmental status etc. High-throughput X-ray absorption spectroscopy (HTXAS) is being developed as a technology for investigating the metalloproteome. In creating a pipeline from genome to metalloproteome, several bottlenecks to high-throughput determination of metal-site structures must be overcome. For example, automation of arraying small samples for XAS examination must be invented, automation of rapid data collection of multiple low-volume low-concentration samples must be developed, automation of data reduction and analysis must be perfected. Discussed here are the promises and the pitfalls of HTXAS development, including the results of initial feasibility experiments.

Automation↗

PubMed2006

Understanding the cell in terms of structure and function: insights from structural genomics.

Structural genomics programs are only now moving into the large-scale production phase, yet have already produced around 2000 protein structures. Through a widespread if not exclusive emphasis on structural novelty, our knowledge of the protein fold universe is improving rapidly. With this information comes the challenge of structure-based function annotation for the many target proteins about which little or nothing is known. Recent years have therefore seen the emergence of impressively diverse bioinformatics approaches to predict the function of a protein structure. Attention is now turning to means of combining these predictions with information from various other sources.

Computational Biology↗

PubMed2007

Looking ahead with structural genomics.

Structural genomics initiatives aim to create a library of all existing protein folds. We take a look at the progress that has been made and what more needs to be done.

Computational Biology↗