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At least 91 records · Page 5Linked to original sources
PubMed1985

Computerized database of drug interactions: a paradigm for resolving a communication gap in otolaryngology.

The tremendous increase in the number of prescription and non-prescription drugs available to physicians and patients increases the likelihood for adverse drug interactions. This study addresses the feasibility of using contemporary computer technology to provide the physician with the most up-to-date information in order to prevent such adverse reactions. The study involved three stages: 1. determination of physician attitudes regarding the use of the database; 2. creation of a database applicable to otolaryngology; and 3. testing of the database in office practice. The study demonstrated that many physicians were unsatisfied with their ability to remain conversant with the literature regarding drug interactions and that they were receptive to the notion of using computers for this purpose. It further demonstrated that a database could be constructed by an otolaryngologist for use in office practice and that the database contained other clinically useful information.

Attitude of Health Personnel↗
PubMed1992

LIPIDAT: a database of lipid phase transition temperatures and enthalpy changes. DMPC data subset analysis.

The systematic study of the mesomorphic phase properties of synthetic and biologically derived lipids began some 30 years ago. In the past decade, interest in this area has grown enormously. As a result, there exists a wealth of information on lipid phase behavior, but unfortunately these data have until now been scattered throughout the literature in a variety of books, proceedings and journals. The data have recently been compiled in a centralized database, LIPIDAT, with a view to providing ready access to the data and to the appropriate literature. LIPIDAT consists of a tabulation of all known mesomorphic and polymorphic phase transition temperatures and enthalpy changes for synthetic and biologically-derived lipids in the dry and in the partially and fully hydrated states. Also included is the effect of pH, and of salt and metal ion concentration and other additives such as proteins, drugs, etc., on the thermodynamic values. The methods used in making the measurements and the experimental conditions are reported. Bibliographic information includes comprehensive literature referencing and list of authors, but does not at the present time include article titles. As of this writing, the database is current through June, 1990 and is approaching 10,000 records in length. Each record contains 28 fields. In this paper we report the contents and present an analysis of LIPIDAT as it refers to fully hydrated 1,2-dimyristoyl-sn-glycero-3-phosphocholine (DMPC). This database subset represents about 7% of all LIPIDAT records. It includes data collected over a 23-year period from 1967 to 1989 and consists of 702 records obtained from 336 articles in 55 different journals. The number of records per year rises steadily beginning in 1971, reaches a maximum of 89 records/year in 1977 and remains relatively constant at 60-70 records/year in the succeeding period. Journals making the greatest contribution to the DMPC subset include Biochimica et Biophysica Acta, Biochemistry, Chemistry and Physics of Lipids and the Biophysical Journal. These four journals account for 71% of the total records in the database subset. The analysis shows that differential scanning calorimetry, electron spin resonance, fluorescence, nuclear magnetic resonance and Raman spectroscopy are the methods most commonly used for DMPC transition temperature determination. An interesting pattern emerges as to the place in time the different methods assume or loose popularity.(ABSTRACT TRUNCATED AT 400 WORDS)

Calorimetry, Differential Scanning↗
PubMedDate not supplied

Molecular biological databases--present and future.

The importance of databases as a research tool in molecular biology is growing steadily, and a wide range of databases relevant to genome research is currently available. However, the design of current databases is inadequate for accurate representation and analysis of the results of large-scale genome mapping and sequencing projects. A new generation of databases is required to master the challenges of the future.

Animals↗
PubMed2026

ProteoParc: A Reference Protein Database Builder for Ancient and Nonmodel Organisms.

Over the past few years, the increasing interest in analyzing the proteome of extinct and nonmodel organisms has generated a new field of research expanding the scope of proteomics. The lack of curated databases and/or molecular data from these organisms forces researchers to manually search in different public repositories for related protein sequences, either for MS/MS peptide identification or ZooMS marker annotation. This can lead to format incongruences and hinder reproducibility between studies. To address this issue, we introduce ProteoParc, a user-friendly software that builds reference databases by systematically downloading and processing protein sequences from the most widely used public repositories. The pipeline's output is a nonredundant protein database, formatted in a way to be interpreted by typical peptide identification software. Moreover, the user can adjust the database dimension and composition by applying different criteria to include only a certain number of genes or species. Thus, ProteoParc is an easy and fast, custom-made bioinformatic tool useful for future paleoproteomics analysis in ancient samples related to understudied organisms.

Databases, Protein↗
PubMedDate not supplied

UTAB: a computer database on residues of xenobiotic organic chemicals and heavy metals in plants.

The UTAB Database contains information concerned with the uptake/accumulation, translocation, adhesion, and biotransformation of both xenobiotic organic chemicals and heavy metals by vascular plants. UTAB can be used to estimate the accumulation of chemicals in vegetation and their subsequent movement through the food chain. The database contains actual data from papers in the published literature dating from 1926 for organic chemicals and from 1976 for heavy metals. At present the database is comprised of more than 37,000 records pertaining to 900 different organic chemicals, 21 heavy metals, and over 350 plant species. Each record contains information on a single combination of species, chemical, and dose. Other information includes the application and destination sites, amount accumulated, rates of uptake or translocation, products and sites of biotransformation, experimental condition parameters, and the source paper. Thus, the database can be used to quickly obtain specific data pertaining to a chemical, plant species, mine spoil, etc. or it can be used for the comparative analysis of a set of data pertaining to groups of chemicals and plants.

Databases, Bibliographic↗
PubMed2025

GBRAP: A Comprehensive Database and Tool for Exploring Genomic Diversity Across All Domains of Life.

Evolutionary studies require extensive examination of genomic information across all domains of life. Despite the availability of a large number of genomes through GenBank, the effective visualization or comparison of the information they contain is challenging due to many reasons, including their size. We introduce genome-based retrieval and analysis parser, a comprehensive software tool to analyze genome files, and an online database housing an extensive collection of carefully curated, high-quality genome statistics for all the organisms available in the RefSeq database of National Center for Biotechnology Information. Users can either directly search, or select from precategorized groups, the organisms of their choice and retrieve data, and the output is generated as tables containing more than 200 columns of useful genomic information (base counts, GC content, Shannon entropy, codon usage, etc.) separately calculated for different genomic elements (e.g. coding sequences, introns, transfer RNA, ribosomal RNA, noncoding RNA, etc.). The data are independently displayed (if applicable) for each chromosomal, mitochondrial, plastid, or plasmid sequence. All the data can be visualized on the database or downloaded as comma-separated value or Excel files. The genome-based retrieval and analysis parser database is free to access without any registration and is publicly available at http://tacclab.org/gbrap/.

Software↗
PubMed2025

PlantPan: A comprehensive multi-species plant pan-genome database.

The pan-genome represents the complete genomic diversity of specific species, serving as a valuable resource for studying species evolution, crop domestication, and guiding crop breeding and improvement. While there are several single-species-specific plant pan-genome databases, the availability of multi-species pan-genome databases is limited. Additionally, variations in methods and data types used for plant pan-genome analysis across different databases hinder the comparison and integration of pan-genome information from various projects at multi-species or single-species levels. To tackle this challenge, we introduce PlantPan, a comprehensive database housing the results of pan-genome analysis for 195 genomes from 11 plant species. PlantPan aims to provide extensive information, including gene-centric and sequence-centric pan-genome information, graph-based pan-genome, pan-genome openness profiles, gene functions and its variation characteristics, homologous genes, and gene clusters across different species. Statistically, PlantPan incorporates 9 163 011 genes, 694 191 gene clusters, 526 973 370 genome variations, and 1 616 089 non-redundant genome variation groups at the species level, 33 455,098 genome synteny, and 177 827 non-redundant genome synteny groups at the species level. Regarding functional genes, PlantPan contains 5 222 720 genes related to transcription factors, 395 247 literature-reported resistance genes, 455 748 predicted microbial/disease resistance genes, and 1 612 112 genes related to molecular pathways. In summary, PlantPan is a vital platform for advancing the application of pan-genomes in molecular breeding for crops and evolutionary research for plants.

Genome, Plant↗
PubMed1991

Structure-activity relations: maximizing the usefulness of mutagenicity and carcinogenicity databases.

The most important criteria for the development and analysis of databases for elucidating the structural bases of toxicological activity include the integrity of the databases with respect to uniformity of the experimental protocol and interpretation of the test results and inclusion of chemicals representing different chemical classes and differing mechanisms of action. Within these criteria, it is demonstrated that when the chemicals are chosen at random, the larger the database, the better the predictivity of chemicals not included in the learning set. It is shown however, that when chemicals are selected on the basis of structural features, that a learning set of approximately 180 chemicals is as informative as a database consisting of 800 chemicals chosen at random.

Animals↗
PubMed1991

Methanog: a specialized database on methanogenic bacteria.

A specialized, interdisciplinary database on various types of related information on methanogenic bacteria is described. Derived from other sequence databases etc., this database collects information from many sources, including unpublished work from research laboratories working in this field, and makes them accessible from a single source, to interested scientists, free of cost. It is presently held in eight 48 T.P.I. floppy disks and can be run on any IBM PC under DOS 3.0 or above, making this database of particular interest to researchers with limited resources and on-line search/access facilities.

Amino Acid Sequence↗
PubMed1990

The MRC-5 human embryonal lung fibroblast two-dimensional gel cellular protein database: quantitative identification of polypeptides whose relative abundance differs between quiescent, proliferating and SV40 transformed cells.

A new version of the MRC-5 two-dimensional gel cellular protein database (Celis et al., Electrophoresis 1989, 10, 76-115) is presented. Gels were scanned with a Molecular Dynamics laser scanner and processed by the PDQUEST II software. A total of 1895 [35S]methionine-labeled cellular polypeptides (1323 with isoelectric focusing and 572 with nonequilibrium pH gradient electrophoresis) are recorded in this database, containing quantitative and qualitative data on the relative abundance of cellular proteins synthesized by quiescent, proliferating and SV40 transformed MRC-5 fibroblasts. Of the 592 proteins quantitated so far, the levels of 138 were up- or down-regulated (51 and 87, respectively) by two times or more in the transformed cells as compared to their normal proliferating counterparts, while only 14 behaved similarly in quiescent cells. Seven MRC-5 SV40 proteins, including plastin and two interferon-induced proteins, were not detected in the master MRC-5 images. The identity of 36 of the transformation-sensitive proteins whose levels are up or down regulated by two times or more was determined and additional information can be transferred from the master transformed human epithelial amnion cells (AMA) database (Celis et al., Electrophoresis 1990, 11, 989-1071) for those polypeptides of known and unknown identity that have been matched to AMA polypeptides. As more information is gathered in this and other laboratories, including data on oncogene proteins and transcription factors, this comprehensive database will outline an integrated picture of the expression levels and properties of the thousands of protein components of organelles, pathways and cytoskeletal systems that may be directly or indirectly involved in properties associated with the transformed state.

Cell Transformation, Viral↗
PubMed1992

A database of protein structure families with common folding motifs.

The availability of fast and robust algorithms for protein structure comparison provides an opportunity to produce a database of three-dimensional comparisons, called families of structurally similar proteins (FSSP). The database currently contains an extended structural family for each of 154 representative (below 30% sequence identity) protein chains. Each data set contains: the search structure; all its relatives with 70-30% sequence identity, aligned structurally; and all other proteins from the representative set that contain substructures significantly similar to the search structure. Very close relatives (above 70% sequence identity) rarely have significant structural differences and are excluded. The alignments of remote relatives are the result of pairwise all-against-all structural comparisons in the set of 154 representative protein chains. The comparisons were carried out with each of three novel automatic algorithms that cover different aspects of protein structure similarity. The user of the database has the choice between strict rigid-body comparisons and comparisons that take into account interdomain motion or geometrical distortions; and, between comparisons that require strictly sequential ordering of segments and comparisons, which allow altered topology of loop connections or chain reversals. The data sets report the structurally equivalent residues in the form of a multiple alignment and as a list of matching fragments to facilitate inspection by three-dimensional graphics. If substructures are ignored, the result is a database of structure alignments of full-length proteins, including those in the twilight zone of sequence similarity.(ABSTRACT TRUNCATED AT 250 WORDS)

Algorithms↗
PubMed1991

A relational database for sequence-specific protein NMR data.

A protein NMR database has been designed and is being implemented. The database is intended to contain solution NMR results from proteins and peptides (larger than 12 residues). A relational database format has been chosen that indexes data by: primary journal citation, molecular species, sequence-related and atom-specific assignments, and experimental conditions. At present, all data are entered from the primary refereed literature. Examples are given of sample queries to the database. Possible distribution formats are discussed.

Animals↗
PubMed1991

A database of lipid phase transition temperatures and enthalpy changes.

The systematic study of the mesomorphic phase properties of synthetic and biologically derived lipids began some 30 years ago. In the past decade, interest in this area has grown enormously. As a result, there exists a wealth of information on lipid phase behavior, but unfortunately these data have, until now, been scattered throughout the literature in a variety of books, proceedings and journals. The data have recently been compiled in a centralized database with a view to providing ready access to same and to the appropriate literature. The compilation facilitates review of what has thus far been accomplished and highlights what remains to be done in this active research area. As such, it represents a convenient summary of the existing data which, when evaluated, will enable us to identify where deficits exist in the data, to reveal the fundamental physicochemical principles upon which lipid phase behavior is based and to understand more completely lipid phase relations in biological, reconstituted and formulated systems. The compilation consists of a tabulation of all known mesomorphic and polymorphic phase transition temperatures and enthalpy changes for synthetic and biologically-derived lipids in the dry and in the partially and fully hydrated states. Also included is the effect on these thermodynamic values of pH, and of salt and metal ion concentration and other additives such as proteins, drugs, etc. The methods used in making the measurements and the experimental conditions are reported. Bibliographic information includes complete literature referencing and list of authors. As of this writing, the database is current through June, 1990 and contains in excess of 9500 records. Each record contains 28 fields. Here, we describe how the database originated, its scope and contents, data abstraction procedures, and issues relating to mesophase and lipid nomenclature, data analysis and evaluation, and database maintenance and distribution.

Databases, Factual↗
PubMed1989

Extended relational operators for statistical data manipulations in medical databases.

Conventional relational database management systems fail to address three features of statistical data management in a biomedical/clinical database, namely, that (1) statistical and medical data (SMD) require a great deal of space and need to be stored in a reduced form with minimal duplication; indeed, SMD have many derived/calculated and summary statistics that make the number of attributes in a relation (i.e., a set of records) grow rapidly and dynamically; (2) most SMD have hierarchical structures that are difficult to manage using the relational data model since SMD are stored in separate relations for duplication and space considerations; and (3) the management of SMD is made easier if it is possible to reorganize relations or group data, a capability lacking in conventional relational database management systems. In this paper, we (1) introduce five extended relational operators, (lattice) NEST, (lattice) UNNEST, MERGE, SPREAD, and GEN, to reorganize relations; (2) integrate the extended operators with conventional relational algebra and introduce the concept of the lattice relational model; and (3) give applications of the extended relational operators and the lattice relational model in solving the problems of statistical data manipulation in medical databases.

Database Management Systems↗
PubMed1991

The PDQ (Physician Data Query), the cancer database, in oncological clinical practice.

The above illustrates the fact that a physician interested in consulting the PDQ database must dedicate a certain amount of time to an analytical review of the database. It is difficult to determine how much time is required to acquire a sufficient level of control because there are many variables affecting the learning time: experience in using computerized systems, cultural background, personal inclination, etc. However, a certain amount of caution and humility should be exercised whenever a physician approaches a database of this type for the first time, in order to avoid the mistake of dangerously underestimating the nature of the problem. On the other hand, the physician's specific competence and professionalism will not be questioned at all, since they are fundamental to obtain productive search results. If, indeed, the above discussion focussed heavily on the most closely documental aspect of the problem, it should not be forgotten that the contents of the database can be fully understood only by experts who are used to encountering certain terms and procedures on a daily basis. In fact, when a physician turns to a documentation center for a PDQ research, the physician's assistance is always requested in order pair clinical and documental competence. It is this second skill that the physician must acquire to become totally independent.

Databases, Factual↗
PubMed1989

Review of Papyrus bibliographic database software.

Papyrus is an inexpensive bibliographic database which provides some features not found in other similar packages. Its flexibility in handling references of many types and formats, its capacity for integration with manuscripts prepared with word processors, its capacity for importing references from national databases and its ability to perform microcosmic literature searches are attractive features. Because Papyrus has tackled a complex task, mastery of the intricacies of the program may present a substantial challenge to novice computer users. Although the manipulation of an existing customized bibliographic database would seem to be attractive for any researcher or author who prepares manuscripts for publication, the optimal use of the program also requires an extensive commitment of time and labor for the initial entry of all pertinent references into the database. While this could be accomplished gradually in conjunction with the preparation of individual manuscripts, the creation of a complete file of references could require hundreds of hours of labor. Individual authors, as well as larger research groups, should be prepared for this type of commitment before acquiring the Papyrus system.

Bibliographies as Topic↗
PubMed2025

An adjuvant database for preclinical evaluation of vaccines and immunotherapeutics.

Adjuvants are immunostimulators used to enhance vaccine efficacy against infectious diseases. However, current methods for evaluating their efficacy and safety are limited, hindering large-scale screening. To address this, we developed a prototype Adjuvant Database (ADB) containing transcriptome data, generated using the same protocols as the widely used Open TG-GATEs (OTG) toxicogenomics database, covering 25 adjuvants across multiple species, organs, time points, and doses. This enabled cross-database integration of ADB and OTG. Transcriptomic patterns successfully distinguished each adjuvant regardless of organs or species. Using both databases, we built machine learning models to predict adjuvanticity and hepatotoxicity. Notably, we identified colchicine's adjuvant activity and FK565's liver toxicity through data-driven analysis. Overall, ADB combined with OTG offers a framework for transcriptomics-based, data-driven screening of adjuvant candidates.

Animals↗
PubMed2025

Unique signatures of highly constrained genes across publicly available genomic databases.

PURPOSE: Publicly available genomic databases are critical in understanding human genetic variation. They also provide unique insights into patterns of genetic constraints and their relationship with human disease. METHODS: We utilized one of the largest publicly available databases, Genome Aggregate Database, to determine genes that are highly constrained for only loss-of-function, only missense, and both loss-of-function/missense variants. We identified their unique signatures and explored their causal relationship with human diseases. Those genes were also evaluated for chromosomal location, tissue-level expression, Gene Ontology analysis, and gene family categorization using multiple publicly available databases. RESULTS: We identified unique patterns of inheritance, protein size, and enrichment in distinct molecular pathways for those constrained genes associated with human disease. In addition, we identified genes that are currently not known to cause human disease, which may be excellent gene discovery candidates. CONCLUSION: We elucidate biological pathways of highly constrained genes that expand our understanding of critical cellular proteins. The findings can also advance research in rare diseases.

Humans↗