PubMed Health⌕ Search

SEARCH · PubMed Health

Results for “functional inference”

Explore indexed PubMed citations for clinical trials, systematic reviews and public health research. Read source abstracts and follow each citation to its original PubMed record.

Quote a phrase for an exact phrase match. Source license links do not imply unrestricted reuse.

At least 163 records · Page 9Linked to original sources

Protein structure similarities.

Comparison of protein structures can reveal distant evolutionary relationships that would not be detected by sequence information alone. This helps to infer functional properties. In recent years, many methods for pairwise protein structure alignment have been proposed and are now available on the World Wide Web. Although these methods have made it possible to compare all available protein structures, they also highlight the remaining difficulties in defining a reliable score for protein structure similarities.

Amino Acid Motifs↗

Missing genes in metabolic pathways: a comparative genomics approach.

The new techniques of genome context analysis--chromosomal gene clustering, protein fusions, occurrence profiles and shared regulatory sites--infer functional coupling between genes. In combination with metabolic reconstructions, these techniques can dramatically accelerate the pace of gene discovery.

Animals↗

Definitions of enzyme function for the structural genomics era.

Questions are being asked about how enzyme function is described at the molecular level and the strengths and weaknesses of the EC system for this purpose. A new approach to describing enzyme function has been proposed that might improve our capabilities for functional inference for members of enzyme superfamilies.

Animals↗

Fluorescence in situ hybridisation for the identification and characterisation of prokaryotes.

Fluorescence in situ hybridisation with rRNA-targeted nucleic acid probes can be used to directly identify microorganisms within complex samples in a few hours and therefore has widespread application in environmental and medical microbiology. The past year has seen significant methodological improvements in fluorescence in situ hybridisation, as well as in the combination of this method with other techniques for inferring functional traits of microorganisms within their environment.

Bacteria↗

Probing the catalytically essential residues of the alpha-L-fucosidase from the hyperthermophilic archaeon Sulfolobus solfataricus.

Retaining glycosidases promote the hydrolysis of the substrate by following a double-displacement mechanism involving a covalent intermediate. The catalytic residues are a general acid/base catalyst and the nucleophile. Experimental identification of these residues in a specific glycosidase allows for the assigning of the corresponding residues in all of the other enzymes belonging to the same family. By means of sequence alignment, mutagenesis, and detailed kinetic studies of the alpha-fucosidase from Sulfolobus solfataricus (Ssalpha-fuc) (family 29), we show here that the residues, invariant in this family, have the function inferred from the analysis of the 3D structure of the enzyme from Thermotoga maritima (Tmalpha-fuc). These include in Ssalpha-fuc the substrate-binding residues His46 and His123 and the nucleophile of the reaction, previously described. The acid/base catalyst could be assigned less easily. The k(cat) of the Ssalpha-fucGlu292Gly mutant, corresponding to the acid/base catalyst of Tmalpha-fuc, is reduced by 154-fold but could not be chemically rescued. Instead, the Ssalpha-fucGlu58Gly mutant revealed a 4000-fold reduction of k(cat)/K(M) if compared to the wild-type and showed the rescue of the k(cat) by sodium azide at wild-type levels. Thus, our data suggest that a catalytic triad, namely, Glu58, Glu292, and Asp242, is involved in catalysis. Glu58 and Glu292 cooperate in the role of acid/base catalyst, while Asp242 is the nucleophile of the reaction. Our data suggest that in glycosidase family 29 alpha-fucosidases promoting the retaining mechanism with slightly different catalytic machineries coexist.

Amino Acid Sequence↗

Multi-ancestry multi-trait analysis reveals shared genetics across major psychiatric disorders and Alzheimer's disease.

The clinical overlap between major psychiatric disorders (MPDs) and Alzheimer's disease (AD) implicates complex shared etiology. Previous studies demonstrated that both diseases are genetically complex and highly heritable, suggesting that more endeavors are necessary to be made from the very bottom to understand their genetic basis. With the advance of post-genomic analysis, multi-ancestry meta-analysis allows the generalizability of the genetic architecture across different populations to uncover ancestry-specific variants, while multi-trait analysis enables the discovery of the co-colocalized risk genomic regions across diseases. Therefore, in this study, we leveraged published GWAS summary statistics from European, East Asian, Hispanic and African American populations to report schizophrenia, major depressive disorders, and Alzheimer's disease risk loci and further fine-mapping to credible sets with >95% PP inclusion of the causal variant. We distilled 2871 potential traits from publicly available and found 134 traits significantly genetically correlated with both MPDs and AD using batch LD score regression. We then prioritized the identified loci from multi-ancestry results for cross-trait colocalization analysis to assess shared genetic etiology and further nominated 2 colocalized loci across both conditions, including rs2532240 and rs6504163. In the end, we finalized our analysis by validation and functional inference of the underlying susceptibility genes as well as putative mechanisms using evidence from multiple resources, including FIVEx, Open Targets, and scQTLbase.

Humans↗

Early modern humans from the Pestera Muierii, Baia de Fier, Romania.

The early modern human remains from the Peştera Muierii, Romania have been directly dated to approximately 30,000 radiocarbon years before present (approximately 30 ka 14C BP) (approximately 35 ka cal BP) ("calendrical" age; based on CalPal 2005) and augment a small sample of securely dated, European, pre-28 ka 14C BP (approximately 32.5 ka cal BP) modern human remains. The Muierii fossils exhibit a suite of derived modern human features, including reduced maxillae with pronounced canine fossae, a narrow nasal aperture, small superciliary arches, an arched parietal curve, zygomatic arch above the auditory porous, laterally bulbous mastoid processes, narrow mandibular corpus, reduced anterior dentition, ventral-to-bisulcate scapular axillary border, and planoconcave tibial and fibular diaphyseal surfaces. However, these traits co-occur with contextually archaic and/or Neandertal features, including a moderately low frontal arc, a large occipital bun, a high coronoid process and asymmetrical mandibular notch, a more medial mandibular notch crest to condylar position, and a narrow scapular glenoid fossa. As with other European early modern humans, the mosaic of modern human and archaic/Neandertal features, relative to their potential Middle Paleolithic ancestral populations, indicates considerable Neandertal/modern human admixture. Moreover, the narrow scapular glenoid fossa suggests habitual movements at variance with the associated projectile technology. The reproductive and scapulohumeral functional inferences emphasize the subtle natures of behavioral contrasts between Neandertals and these early modern Europeans.

Anthropology↗

The alpha4 regulatory subunit exerts opposing allosteric effects on protein phosphatases PP6 and PP2A.

The protein Ser/Thr phosphatase family contains three enzymes called PP2A, PP4, and PP6 with separate biological functions inferred from genetics of the yeast homologues Pph21/22, Pph3, and Sit4. These catalytic subunits associate with a common subunit called alpha4 (related to yeast Tap42). Here, we characterized recombinant PP6 and PP2A catalytic monomers and alpha4.phosphatase heterodimers. Monomeric PP6 and PP2A showed identical kinetics using either p-nitrophenyl phosphate (pNPP) or 32P-myelin basic protein (MBP) as substrates, with matching Km and Vmax values. Using pNPP as substrate, PP6 and PP2A gave the same IC50 with active site inhibitors okadaic acid, microcystin-LR, calyculin A, and cantharidin. However, with MBP as substrate, PP6 was inhibited at 5-fold lower concentrations of toxins relative to PP2A, suggesting PP6 might be a preferred in vivo target of toxins. Heterodimeric alpha4.PP6 and alpha4.PP2A were starkly different. With MBP as substrate the alpha4.PP2A heterodimer had a 100-fold higher Vmax than alpha4.PP6, and neither heterodimer was active with pNPP. Thus, these phosphatases are distinguished by their different responses to allosteric binding of the common regulatory subunit alpha4. Transient expression of alpha4 differentially increased or decreased phosphorylation of endogenous phosphoproteins, consistent with opposing effects on PP2A and PP6.

Adaptor Proteins, Signal Transducing↗

The greatest step in vertebrate history: a paleobiological review of the fish-tetrapod transition.

Recent discoveries of previously unknown fossil forms have dramatically transformed understanding of many aspects of the fish-tetrapod transition. Newer paleobiological approaches have also contributed to changed views of which animals were involved and when, where, and how the transition occurred. This review summarizes major advances made and reevaluates alternative interpretations of important parts of the evidence. We begin with general issues and concepts, including limitations of the Paleozoic fossil record. We summarize important features of paleoclimates, paleoenvironments, paleobiogeography, and taphonomy. We then review the history of Devonian tetrapods and their closest stem group ancestors within the sarcopterygian fishes. It is now widely accepted that the first tetrapods arose from advanced tetrapodomorph stock (the elpistostegalids) in the Late Devonian, probably in Euramerica. However, truly terrestrial forms did not emerge until much later, in geographically far-flung regions, in the Lower Carboniferous. The complete transition occurred over about 25 million years; definitive emergences onto land took place during the most recent 5 million years. The sequence of character acquisition during the transition can be seen as a five-step process involving: (1) higher osteichthyan (tetrapodomorph) diversification in the Middle Devonian (beginning about 380 million years ago [mya]), (2) the emergence of "prototetrapods" (e.g., Elginerpeton) in the Frasnian stage (about 372 mya), (3) the appearance of aquatic tetrapods (e.g., Acanthostega) sometime in the early to mid-Famennian (about 360 mya), (4) the appearance of "eutetrapods" (e.g., Tulerpeton) at the very end of the Devonian period (about 358 mya), and (5) the first truly terrestrial tetrapods (e.g., Pederpes) in the Lower Carboniferous (about 340 mya). We discuss each of these steps with respect to inferred functional utility of acquired character sets. Dissociated heterochrony is seen as the most likely process for the evolutionarily rapid morphological transformations required. Developmental biological processes, including paedomorphosis, played important roles. We conclude with a discussion of phylogenetic interpretations of the evidence.

Amphibians↗

Computational approaches for the analysis of gene neighbourhoods in prokaryotic genomes.

Gene order in prokaryotes is conserved to a much lesser extent than protein sequences. Only some operons, primarily those that encode physically interacting proteins, are conserved in all or most of the bacterial and archaeal genomes. Nevertheless, even the limited conservation of operon organisation that is observed provides valuable evolutionary and functional clues through multiple genome comparisons. With the rapid growth in the number and diversity of sequenced prokaryotic genomes, functional inferences for uncharacterized genes located in the same conserved gene neighborhood with well-studied genes are becoming increasingly important. In this review, we discuss various computational approaches for identification of conserved gene strings and construction of local alignments of gene orders in prokaryotic genomes.

Algorithms↗

Fundamentals of massive automatic pairwise alignments of protein sequences: theoretical significance of Z-value statistics.

MOTIVATION: Different automatic methods of sequence alignments are routinely used as a starting point for homology searches and function inference. Confidence in an alignment probability is one of the major fundamentals of massive automatic genome-scale pairwise comparisons, for clustering of putative orthologs and paralogs, sequenced genome annotation or multiple-genomic tree constructions. Extreme value distribution based on the Karlin-Altschul model, usually advised for large-scale comparisons are not always valid, particularly in the case of comparisons of non-biased with nucleotide-biased genomes (such that of Plasmodium falciparum). Z-values estimates based on Monte Carlo technics, can be calculated experimentally for any alignment output, whatever the method used. Empirically, a Z-value higher than approximately 8 is supposed reasonable to assess that an alignment score is significant, but this arbitrary figure was never theoretically justified. RESULTS: In this paper, we used the Bienaymé-Chebyshev inequality to demonstrate a theorem of the upper limit of an alignment score probability (or P-value). This theorem implies that a computed Z-value is a statistical test, a single-linkage clustering criterion and that 1/Z-value(2) is an upper limit to the probability of an alignment score whatever the actual probability law is. Therefore, this study provides the missing theoretical link between a Z-value cut-off used for an automatic clustering of putative orthologs and/or paralogs, and the corresponding statistical risk in such genome-scale comparisons (using non-biased or biased genomes).

Algorithms↗

Protein function prediction via graph kernels.

MOTIVATION: Computational approaches to protein function prediction infer protein function by finding proteins with similar sequence, structure, surface clefts, chemical properties, amino acid motifs, interaction partners or phylogenetic profiles. We present a new approach that combines sequential, structural and chemical information into one graph model of proteins. We predict functional class membership of enzymes and non-enzymes using graph kernels and support vector machine classification on these protein graphs. RESULTS: Our graph model, derivable from protein sequence and structure only, is competitive with vector models that require additional protein information, such as the size of surface pockets. If we include this extra information into our graph model, our classifier yields significantly higher accuracy levels than the vector models. Hyperkernels allow us to select and to optimally combine the most relevant node attributes in our protein graphs. We have laid the foundation for a protein function prediction system that integrates protein information from various sources efficiently and effectively. AVAILABILITY: More information available via www.dbs.ifi.lmu.de/Mitarbeiter/borgwardt.html.

Algorithms↗

An improved hidden Markov model for transmembrane protein detection and topology prediction and its applications to complete genomes.

MOTIVATION: Knowledge of the transmembrane helical topology can help identify binding sites and infer functions for membrane proteins. However, because membrane proteins are hard to solubilize and purify, only a very small amount of membrane proteins have structure and topology experimentally determined. This has motivated various computational methods for predicting the topology of membrane proteins. RESULTS: We present an improved hidden Markov model, TMMOD, for the identification and topology prediction of transmembrane proteins. Our model uses TMHMM as a prototype, but differs from TMHMM by the architecture of the submodels for loops on both sides of the membrane and also by the model training procedure. In cross-validation experiments using a set of 83 transmembrane proteins with known topology, TMMOD outperformed TMHMM and other existing methods, with an accuracy of 89% for both topology and locations. In another experiment using a separate set of 160 transmembrane proteins, TMMOD had 84% for topology and 89% for locations. When utilized for identifying transmembrane proteins from non-transmembrane proteins, particularly signal peptides, TMMOD has consistently fewer false positives than TMHMM does. Application of TMMOD to a collection of complete genomes shows that the number of predicted membrane proteins accounts for approximately 20-30% of all genes in those genomes, and that the topology where both the N- and C-termini are in the cytoplasm is dominant in these organisms except for Caenorhabditis elegans. AVAILABILITY: http://liao.cis.udel.edu/website/servers/TMMOD/

Algorithms↗

The SYSTERS Protein Family Database in 2005.

The SYSTERS project aims to provide a meaningful partitioning of the whole protein sequence space by a fully automatic procedure. A refined two-step algorithm assigns each protein to a family and a superfamily. The sequence data underlying SYSTERS release 4 now comprise several protein sequence databases derived from completely sequenced genomes (ENSEMBL, TAIR, SGD and GeneDB), in addition to the comprehensive Swiss-Prot/TrEMBL databases. The SYSTERS web server (http://systers.molgen.mpg.de) provides access to 158 153 SYSTERS protein families. To augment the automatically derived results, information from external databases like Pfam and Gene Ontology are added to the web server. Furthermore, users can retrieve pre-processed analyses of families like multiple alignments and phylogenetic trees. New query options comprise a batch retrieval tool for functional inference about families based on automatic keyword extraction from sequence annotations. A new access point, PhyloMatrix, allows the retrieval of phylogenetic profiles of SYSTERS families across organisms with completely sequenced genomes.

Algorithms↗

Towards pathogenomics: a web-based resource for pathogenicity islands.

Pathogenicity islands (PAIs) are genetic elements whose products are essential to the process of disease development. They have been horizontally (laterally) transferred from other microbes and are important in evolution of pathogenesis. In this study, a comprehensive database and search engines specialized for PAIs were established. The pathogenicity island database (PAIDB) is a comprehensive relational database of all the reported PAIs and potential PAI regions which were predicted by a method that combines feature-based analysis and similarity-based analysis. Also, using the PAI Finder search application, a multi-sequence query can be analyzed onsite for the presence of potential PAIs. As of April 2006, PAIDB contains 112 types of PAIs and 889 GenBank accessions containing either partial or all PAI loci previously reported in the literature, which are present in 497 strains of pathogenic bacteria. The database also offers 310 candidate PAIs predicted from 118 sequenced prokaryotic genomes. With the increasing number of prokaryotic genomes without functional inference and sequenced genetic regions of suspected involvement in diseases, this web-based, user-friendly resource has the potential to be of significant use in pathogenomics. PAIDB is freely accessible at http://www.gem.re.kr/paidb.

Bacteria↗

GO PaD: the Gene Ontology Partition Database.

Gene Ontology (GO) has been widely used to infer functional significance associated with sets of genes in order to automate discoveries within large-scale genetic studies. A level in GO's direct acyclic graph structure is often assumed to be indicative of its terms' specificities, although other work has suggested this assumption does not hold. Unfortunately, quantitative analysis of biological functions based on nodes at the same level (as is common in gene enrichment analysis tools) can lead to incorrect conclusions as well as missed discoveries due to inefficient use of available information. This paper addresses these using an informational theoretic approach encoded in the GO Partition Database that guarantees to maximize information for gene enrichment analysis. The GO Partition Database was designed to feature ontology partitions with GO terms of similar specificity. The GO partitions comprise varying numbers of nodes and present relevant information theoretic statistics, so researchers can choose to analyze datasets at arbitrary levels of specificity. The GO Partition Database, featuring GO partition sets for functional analysis of genes from human and 10 other commonly studied organisms with a total of 131,972 genes, is available on the internet at: bcl.med.harvard.edu/proj/gopart. The site also includes an online tutorial.

Computer Graphics↗

Modelling in molecular biology: describing transcription regulatory networks at different scales.

Approaches to describe gene regulation networks can be categorized by increasing detail, as network parts lists, network topology models, network control logic models or dynamic models. We discuss the current state of the art for each of these approaches. We study the relationship between different topology models, and give examples how they can be used to infer functional annotations for genes of unknown function. We introduce a new simple way of describing dynamic models called finite state linear model (FSLM). We discuss the gap between the parts list and topology models on one hand, and network logic and dynamic models, on the other hand. The first two classes of models have reached a genome-wide scale, while for the other model classes high-throughput technologies are yet to make a major impact.

Computational Biology↗

Large-scale taxonomic profiling of eukaryotic model organisms: a comparison of orthologous proteins encoded by the human, fly, nematode, and yeast genomes.

Comparisons of DNA and protein sequences between humans and model organisms, including the yeast Saccharomyces cerevisiae, the nematode Caenorhabditis elegans, and the fruit fly Drosophila melanogaster, are a significant source of information about the function of human genes and proteins in both normal and disease states. Important questions regarding cross-species sequence comparison remain unanswered, including (1) the fraction of the metabolic, signaling, and regulatory pathways that is shared by humans and the various model organisms; and (2) the validity of functional inferences based on sequence homology. We addressed these questions by analyzing the available fractions of human, fly, nematode, and yeast genomes for orthologous protein-coding genes, applying strict criteria to distinguish between candidate orthologous and paralogous proteins. Forty-two quartets of proteins could be identified as candidate orthologs. Twenty-four Drosophila protein sequences were more similar to their human orthologs than the corresponding nematode proteins. Analysis of sequence substitutions and evolutionary distances in this data set revealed that most C. elegans genes are evolving more rapidly than Drosophila genes, suggesting that unequal evolutionary rates may contribute to the differences in similarity to human protein sequences. The available fraction of Drosophila proteins appears to lack representatives of many protein families and domains, reflecting the relative paucity of genomic data from this species.

Animals↗