Search PubMed⌕ Search

SEARCH · Search PubMed

Results for “CATALOGING”

Search indexed PubMed citations on genomics, clinical trials, systematic reviews and public health. Explore titles, authors and supplied subject terms, then open the PubMed record.

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

At least 919 records · Page 51Linked to original sources
PubMed2000

Cell separation by dielectrophoretic field-flow-fractionation.

Dielectrophoretic field-flow-fractionation (DEP-FFF) was applied to several clinically relevant cell separation problems, including the purging of human breast cancer cells from normal T-lymphocytes and from CD34+ hematopoietic stem cells, the separation of the major leukocyte subpopulations, and the enrichment of leukocytes from blood. Cell separations were achieved in a thin chamber equipped with a microfabricated, interdigitated electrode array on its bottom wall that was energized with AC electric signals. Cells were levitated by the balance between DEP and sedimentation forces to different equilibrium heights and were transported at differing velocities and thereby separated when a velocity profile was established in the chamber. This bulk-separation technique adds cell intrinsic dielectric properties to the catalog of physical characteristics that can be applied to cell discrimination. The separation process and performance can be controlled through electronic means. Cell labeling is unnecessary, and separated cells may be cultured and further analyzed. It can be scaled up for routine laboratory cell separation or implemented on a miniaturized scale.

Animals↗
PubMed2025

ProteoformDB: A Built-In Application to Generate Proteoform Database.

Proteins play essential functions through their complex regulations on cell-type-specific expression, localization, and molecular complexes. Protein complexity is further enhanced by proteoforms, which are the diverse molecular forms that each gene can produce through genomic alterations, transcriptional variations, translational regulations, and protein modifications. Profiling of proteoforms is a promising method for gaining a deeper understanding of the role of proteins in biological pathways and disease mechanisms. Here, we developed ProteoformDB, an application tool for generating proteoform databases, and we cataloged a total of over one million unique single-site human proteoforms. We showed that ProteoformDB can serve as a valuable resource to document the experimentally identified proteoforms in a database, supporting protein characterization in quantitative proteomics for both total protein abundances and modified protein forms.

Humans↗
PubMed2026

The Pyridoxal-5'-Phosphate-Dependent Enzymes of Mycobacterium tuberculosis.

Enzymes that depend on the cofactor pyridoxal 5'-phosphate (PLP) catalyze a remarkable variety of biochemical reactions in all organisms. In particular, the genome of Mycobacterium tuberculosis, the causative agent of tuberculosis (TB), encodes 45 bona fide PLP-dependent enzymes plus a few related proteins that presumably do not have enzymic function. The large majority of the 45 enzymes have been characterized in terms of catalytic activity and structure. Several of them have been shown to be central to the bacterium's survival and pathogenicity, while some of these enzymes are targets of an extant drug (d-cycloserine). Herein, the annotated catalog of the PLP-dependent enzymes in M. tuberculosis is presented and analyzed with three main goals in mind. The first will be to assess the specific aspects of mycobacterial metabolism that rely most on PLP-dependent enzymes. A second goal will be to signal those enzymes whose function is still uncertain and whose functional characterization may help to further understand the biology of M. tuberculosis. Finally, we will examine the potential and limitations of targeting the PLP-dependent enzymes for the development of new antimycobacterial drugs.

Mycobacterium tuberculosis↗
PubMed1981

Developmental biochemistry of cottonseed embryogenesis and germination: changing messenger ribonucleic acid populations as shown by in vitro and in vivo protein synthesis.

Changes in messenger ribonucleic acid (mRNA) populations during embryogenesis of cottonseed have been followed by cataloging (a) extant proteins, (b) proteins synthesized in vivo, and (c) proteins synthesized in vitro from extracted RNA, all at specific stages of embryogenesis. Evidence is presented for the existence of five mRNA subsets, all apparently under different regulatory regimes, that produce the abundant proteins of embryogenesis. One of these functions principally during the cell division phase of embryogenesis and encodes among its products the seed storage proteins whose mRNA is superabundant during this period. This subset has disappeared from the abundant group by the mature seed stage. Two other subsets appear in late embryogenesis, one of which may result from the removal of the embryo from the maternal environment, since it is inducible by excision of the young embryo from the seed. The other appears to be induced by the plant growth regulator abscisic acid, whose endogenous concentration increases at this stage. It can be induced by incubating excised young embryos in abscisic acid. The last two subsets exist throughout embryogenesis, but only one of them appears to function in germination.

Gossypium↗
PubMed2005

Integrated insights from simulation, experiment, and mutational analysis yield new details of LacI function.

Protein structural change underlies many signal transduction processes. Although end-state structures are known for various allosteric proteins, intermediates are difficult to observe. Recently, targeted molecular dynamics simulation (TMD) was used to examine the conformational transition and predict relevant intermediates for wild-type lactose repressor (LacI). A catalog of involved residues suggests that the transition of this homodimer is asymmetric and that K84 is a prominent participant in the dynamic N-subdomain interface. Previous experiments indicated that hydrophobic substitutions at position 84 engender slowed, biphasic inducer binding kinetics, which might reflect the same phenomena observed in TMD. Here, we report biochemical confirmation that DNA and inducer binding remain allosterically linked in K84A and K84L, albeit with a differential smaller than that found in wild-type LacI. Other features of these mutant proteins are consistent with an allosteric conformational shift that approximates that of the wild type. As a consequence, these repressors can be utilized to explore an unanswered question about LacI function: How many inducers (one or two per dimer) are required to diminish operator affinity? The biphasic natures of the K84L and K84A inducer association rates allow direct correlation between the two distinct inducer binding events and operator release. Indeed, the kinetics of operator release for the K84A and K84L closely parallel those for the second inducer binding event. Together with implications from previous equilibrium results for wild-type and mutant proteins, these kinetic data demonstrate that binding of two inducers per dimeric DNA binding unit is required to release the operator in these variant LacI proteins.

Amino Acid Substitution↗
PubMedDate not supplied

Counterexamples in chemical ring perception.

Ring information is a large part of the structural topology used to identify and characterize molecular structures. It is hence of crucial importance to obtain this information for a variety of tasks in computational chemistry. Many different approaches for "ring perception", i.e., the extraction of cycles from a molecular graph, have been described. The chemistry literature on this topic, however, reports a surprisingly large number of incorrect statements about the properties of chemically relevant ring sets and, in particular, about the mutual relationships of different sets of cycles in a graph. In part these problems seem to have arisen from a sometimes rather idiosyncratic terminology for notions that are fairly standard in graph theory. In this contribution we translate the definitions of concepts such as the Smallest Set of Smallest Rings, Essential Set of Essential Rings, Extended Set of Smallest Rings, Set of Smallest Cycles at Edges, Set of Elementary Rings, K-rings, and beta-rings into a more widely used mathematical language. We then outline the basic properties of different cycle sets and provide numerous counterexamples to incorrect claims in the published literature. These counterexamples may have a serious practical impact because at least some of them are molecular graphs of well-known molecules. As a consequence, we propose a catalog of desirable properties for chemically useful sets of rings.

Journal Article↗
PubMedDate not supplied

ZINC--a free database of commercially available compounds for virtual screening.

A critical barrier to entry into structure-based virtual screening is the lack of a suitable, easy to access database of purchasable compounds. We have therefore prepared a library of 727,842 molecules, each with 3D structure, using catalogs of compounds from vendors (the size of this library continues to grow). The molecules have been assigned biologically relevant protonation states and are annotated with properties such as molecular weight, calculated LogP, and number of rotatable bonds. Each molecule in the library contains vendor and purchasing information and is ready for docking using a number of popular docking programs. Within certain limits, the molecules are prepared in multiple protonation states and multiple tautomeric forms. In one format, multiple conformations are available for the molecules. This database is available for free download (http://zinc.docking.org) in several common file formats including SMILES, mol2, 3D SDF, and DOCK flexibase format. A Web-based query tool incorporating a molecular drawing interface enables the database to be searched and browsed and subsets to be created. Users can process their own molecules by uploading them to a server. Our hope is that this database will bring virtual screening libraries to a wide community of structural biologists and medicinal chemists.

Databases, Factual↗
PubMedDate not supplied

A hierarchical clustering approach for large compound libraries.

A modified version of the k-means clustering algorithm was developed that is able to analyze large compound libraries. A distance threshold determined by plotting the sum of radii of leaf clusters was used as a termination criterion for the clustering process. Hierarchical trees were constructed that can be used to obtain an overview of the data distribution and inherent cluster structure. The approach is also applicable to ligand-based virtual screening with the aim to generate preferred screening collections or focused compound libraries. Retrospective analysis of two activity classes was performed: inhibitors of caspase 1 [interleukin 1 (IL1) cleaving enzyme, ICE] and glucocorticoid receptor ligands. The MDL Drug Data Report (MDDR) and Collection of Bioactive Reference Analogues (COBRA) databases served as the compound pool, for which binary trees were produced. Molecules were encoded by all Molecular Operating Environment 2D descriptors and topological pharmacophore atom types. Individual clusters were assessed for their purity and enrichment of actives belonging to the two ligand classes. Significant enrichment was observed in individual branches of the cluster tree. After clustering a combined database of MDDR, COBRA, and the SPECS catalog, it was possible to retrieve MDDR ICE inhibitors with new scaffolds using COBRA ICE inhibitors as seeds. A Java implementation of the clustering method is available via the Internet (http://www.modlab.de).

Algorithms↗
PubMedDate not supplied

NIPALSTREE: a new hierarchical clustering approach for large compound libraries and its application to virtual screening.

A hierarchical clustering algorithm--NIPALSTREE--was developed that is able to analyze large data sets in high-dimensional space. The result can be displayed as a dendrogram. At each tree level the algorithm projects a data set via principle component analysis onto one dimension. The data set is sorted according to this one dimension and split at the median position. To avoid distortion of clusters at the median position, the algorithm identifies a potentially more suited split point left or right of the median. The procedure is recursively applied on the resulting subsets until the maximal distance between cluster members exceeds a user-defined threshold. The approach was validated in a retrospective screening study for angiotensin converting enzyme (ACE) inhibitors. The resulting clusters were assessed for their purity and enrichment in actives belonging to this ligand class. Enrichment was observed in individual branches of the dendrogram. In further retrospective virtual screening studies employing the MDL Drug Data Report (MDDR), COBRA, and the SPECS catalog, NIPALSTREE was compared with the hierarchical k-means clustering approach. Results show that both algorithms can be used in the context of virtual screening. Intersecting the result lists obtained with both algorithms improved enrichment factors while losing only few chemotypes.

Algorithms↗
PubMedDate not supplied

Locating biologically active compounds in medium-sized heterogeneous datasets by topological autocorrelation vectors: dopamine and benzodiazepine agonists.

Electronic properties located on the atoms of a molecule such as partial atomic charges as well as electronegativity and polarizability values are encoded by an autocorrelation vector accounting for the constitution of a molecule. This encoding procedure is able to distinguish between compounds being dopamine agonists and those being benzodiazepine receptor agonists even after projection into a two-dimensional self-organizing network. The two types of compounds can still be distinguished if they are buried in a dataset of 8323 compounds of a chemical supplier catalog comprising a wide structural variety. The maps obtained by this sequence of events, calculation of empirical physicochemical effects, encoding in a topological autocorrelation vector, and projection by a self-organizing neural network, can thus be used for searching for structural similarity, and, in particular, for finding new lead structures with biological activity.

Databases, Factual↗
PubMed2000

Bit-string methods for selective compound acquisition

Selective compound acquisition programs need to ensure that the compounds that are chosen do not contain undesirable functionality. This is easy to achieve if a supplier is prepared to provide unambiguous structure representations for the compounds that they have available: this paper discusses selection techniques that can be used when a supplier is prepared to make available only fragment bit-string representations for the compounds in their catalog. Experiments with three databases and three types of bit-string show that a simple k-nearest-neighbor searching method provides a surprisingly effective, although far from perfect, way of selecting compounds when only bit-string representations are available. A second approach, based on the use of a fragment weighting scheme analogous to those used in substructural analysis studies, proved to be noticeably less effective in operation.

Journal Article↗
PubMed1999

Identification of alleles for complex gene loci Glu-A1, Glu-B1, and Glu-D1, which code for high molecular weight subunits of glutenin in Japanese hexaploid wheat varieties.

Seed storage proteins of Japanese wheat (Triticum aestivum) varieties were fractionated by sodium dodecyl sulfate-polyacrylamide gel electrophoresis to identify the alleles for complex gene loci, Glu-A1, Glu-B1, and Glu-D1, which code for high molecular weight (HMW) subunits of glutenin in Japanese hexaploid wheat varieties. These were identified by comparison of subunit mobility with those previously found in hexaploid wheat. Twenty-four different, major glutenin HMW subunits were identified, and each variety contained three to five subunits. Seventeen different glutenin subunit patterns were observed for 14 alleles in Japanese varieties. A catalog of alleles for the complex gene loci, Glu-A1, Glu-B1, and Glu-D1, that code for HMW subunits of glutenin in hexaploid wheat was compiled. Japanese varieties showed some special allelic variation in glutenin HMW subunits that was different from those in hexaploid wheats of other countries.

Alleles↗
PubMed2006

Electronic structure analysis and electron detachment energies of polynitrogen pentagonal aromatic anions.

Various decouplings of the electron propagator have been employed to provide theoretical comparison to experimental electron detachment energies for the pyrrolide, imidazolide, and pyrazolide anions. Predictions for isoelectronic anions in which CH groups are replaced by N atoms also are reported. The ab initio electron propagator results agree closely with experimental values, and the associated Dyson orbitals provide a detailed catalog of bonding changes as the number and positions of N atoms vary within the set of pentagonal aromatic anions.

Journal Article↗
PubMed2000

Available pathways database (APD): an essential resource for combinatorial biology.

A relational database, the Available Pathways Database (APD), has been constructed of microbial natural products, their producing strains, and their biosynthetic pathways. The database allows the ready selection of donor strains for combinatorial biology experiments. It provides the same type of resource for combinatorial biology as the Available Chemicals Directory (ACD) does for combinatorial chemical library generation. Its cataloging ability can also provide insight into novel aspects of biosynthetic routes. In particular, no 10-unit Type I polyketides were found in the compilation of this edition of the APD (Version I).

Bacteria↗
PubMedDate not supplied

The ubiquitin superfamily: members, features, and phylogenies.

The ubiquitin superfamily is a rich repository of small, conserved, functionally unique, and important proteins. Its member proteins fold simply and similarly, with kinetic and thermodynamic ease (Sorenson, J. M.; Head-Gordon, T. Toward minimalist models of larger proteins: A ubiquitin-like protein. Proteins 2002, 46, 368-379). They have been implicated in numerous cancers, neurodegenerations, inflammations, and various disorders affecting signal transduction or protein half-life. These proteins serve the cell generally as portable recognition tags with distinct intracellular roles; indeed, tagging with small protein modifiers has become a new hallmark of post-translational modifications and other signal transduction phenomenon (Finley, D. J. Signal transduction. An alternative to destruction. Nature 2001, 412, 283, 285-286). Because many ubiquitin-like proteins bear similarities in sequence, structure, and function, we gathered protein sequences containing the ubiquitin domain from public databases and created a highly granular and defined protein catabolism database to catalog, summarize, reference, and relate them to their targets and specific ligases (to be described elsewhere). In this paper, we reveal a compilation of proteins possessing the ubiquitin domain. This comprises the first and most important part of our database content. We searched available organismal proteomes for sequence-related members of the ubiquitin superfamily and here present over 200 proteins possessing this domain. These proteins were organized phylogenetically and functionally, thereby defining several new families. To our knowledge, this is the most complete assemblage of ubiquitin domains to date.

Animals↗
PubMedDate not supplied

Expanded coverage of the human heart mitochondrial proteome using multidimensional liquid chromatography coupled with tandem mass spectrometry.

Recent evidence suggests that mitochondria are closely linked with the aging process and degenerative disorders such as Alzheimer's disease and Parkinson's disease. Thus, there has been increasing interest in cataloging mitochondrial proteomes to identify potential diagnostic and therapeutic targets. We have previously reported results of a one-dimensional electrophoresis/liquid chromatography MS/MS study to characterize the proteome of normal human heart mitochondria (Taylor et al. Nat. Biotechnol. 2003, 21, 281-286). We now report two subsequent studies where multidimensional liquid chromatography MS/MS was investigated as an alternative means for characterizing the same sample.

Chromatography, Liquid↗
PubMedDate not supplied

Comprehensive proteomic analysis of human pancreatic juice.

Proteomic technologies provide an excellent means for analysis of body fluids for cataloging protein constituents and identifying biomarkers for early detection of cancers. The biomarkers currently available for pancreatic cancer, such as CA19-9, lack adequate sensitivity and specificity contributing to late diagnosis of this deadly disease. In this study, we carried out a comprehensive characterization of the "pancreatic juice proteome" in patients with pancreatic adenocarcinoma. Pancreatic juice was first fractionated by 1-dimensional gel electrophoresis and subsequently analyzed by liquid chromatography tandem mass spectrometry (LC-MS/MS). A total of 170 unique proteins were identified including known pancreatic cancer tumor markers (e.g., CEA, MUC1) and proteins overexpressed in pancreatic cancers (e.g., hepatocarcinoma-intestine-pancreas/pancreatitis-associated protein (HIP/PAP) and lipocalin 2). In addition, we identified a number of proteins that have not been previously described in pancreatic juice (e.g., tumor rejection antigen (pg96) and azurocidin). Interestingly, a novel protein that is 85% identical to HIP/PAP was identified, which we have designated as PAP-2. The proteins identified in this study could be directly assessed for their potential as biomarkers for pancreatic cancer by quantitative proteomics methods or immunoassays.

Agglutinins↗
PubMedDate not supplied

Canonical labeling of proteome maps.

We propose a canonical labeling of proteome maps, which enables one to sort and catalog the maps in a simple way. The canonical label of a proteome map is based on the canonical labeling of vertexes of Hasse diagram embedded in the map resulting in the adjacency matrix, the rows of which when viewed as binary numbers are the smallest possible such numbers. The use of the approach in documentation is illustrated with the proteome maps of liver cells of healthy male Fisher F344 rats and the rats treated with different peroxisome proliferators.

Algorithms↗