Databases in CWM Global Search
| Provider | Description | Approv. Number of indexed items | |
| AKos Samples |
A database of approximate 7 million building blocks and screening compounds. There are five different kind of data files.
All samples are checked for identity and purity by NMR. A network of suppliers can provide custom synthesis. |
7'000'000 | |
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BASE is
one of the world's most voluminous search engines especially for
academic open access web resources. BASE is operated by Bielefeld
University Library. |
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BioMed
Central is an STM (Science, Technology and Medicine) publisher which has
pioneered the open access publishing model |
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BuyersGuideChem is a directory of chemicals and chemical suppliers on
the Internet. It is online since 1996. Now it is one of the leading
directories on the Internet. Last year 1,175,177 visitors had been
searching for products, and 9,384,101 names of suppliers had been
issued. Searching is free of charge for buyers. Registration and listing are charged
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150'000 | |
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Chemical Entities of Biological Interest (ChEBI) is a freely available dictionary of molecular entities focused on ‘small’ chemical compounds. The term ‘molecular entity’ refers to any constitutionally or isotopically distinct atom, molecule, ion, ion pair, radical, radical ion, complex, conformer, etc., identifiable as a separately distinguishable entity. The molecular entities in question are either products of nature or synthetic products used to intervene in the processes of living organisms. ChEBI shows the following data fields:
In addition, a separate page called 'Automatic Xrefs' contains automatically generated cross-references to a number of biological and chemical databases. |
150'000 | |
| CHEMBANK |
Initiative for Chemical Genetics. Freely available collection of data about small molecules (over 2000 compounds) and resources for studying their properties, especially their effects on biology. ChemBank stores an increasingly varied set of cell measurements derived from, among other biological objects, cell lines treated with small molecules. Analysis tools are available and are being developed that allow the relationships between cell states, cell measurements and small molecules to be determined. Currently, ChemBank stores information on hundreds of thousands of small molecules and hundreds of biomedically relevant assays that have been performed at the ICG in collaborations involving biomedical researchers worldwide. These scientists have agreed to perform their experiments in an open data-sharing environment |
20'000 | |
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Goal of the ChemExper Chemical Directory
The ChemExper Chemical Directory for chemical users The ChemExper Chemical Directory contains for now over 200,000 different chemicals, 10,000 MSDS and over 10,000 IR spectra. The directory can be searched by registry number, molecular formula, chemical name or synonyms in different languages as well as by physical and chemical characteristics and combinations of those data. The ChemExper Chemical Directory may also be searched by substructure. Current count is more than 4.6 million different products from more than 1800 chemical suppliers. |
4'600'000 | |
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A supplier database mainly for the Chinese market. http://www.chemicalbook.com |
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The Chemical Database will allow the user to retreive information for any of 25,496 hazardous chemicals or 'generic' entries based on a keyword search. Potential keywords include names, formula and registry numbers (CAS, DOT, RTECS, EINECS, Beilstein and Merck). Formula are represented in Hill format for searching and a more descriptive format for viewing. This database and the information it contains were independently compiled by the author from a large number of sources, and the data included as well as the manner in which it is presented have been independently chosen by the author to provide what is deemed to be an academic publication. Among the published references available, particular mention should be made of:
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25'000 | |
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Chemicalland21.com aims to be a resource of individual chemical
information including technical data, safety data, and related
compounds. More than 200,000 products are listed and 10,000 detail
descriptions are published. They also provide targeted suppliers for the
buyers. |
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This database allows users to search the NLM ChemIDplus database of over 370,000 chemicals. A user may enter compound identifiers such as Chemical Name, CAS Registry Number, Molecular Formula, Classification Code, Locator Code, and Structure or Substructure. New searchable features include search and display by Toxicity indicators such as Median Lethal Dose (LD50), by Physical/Chemical Properties such as LogP, and by Molecular Weight. |
350'000 | |
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At present the database ChemSpider contains information from such diverse sources as a marine natural products database, from all commercially available ACD/Labs databases, from the EPA’s DSSTox efforts and from a series of chemical vendors. ‘ChemSpider hosts the largest and most diverse online database of chemical structures sourced from over 150 different data sources ‘ (stated byAntony Williams from ChemSpider). Link for list of datasources indexed by ChemSpider: http://www.chemspider.com/DataSources.aspx |
20'000'000 | |
| Chemical Structure Lookup Service |
Search in 74 million indexed structures from over 100 databases (46 million unique structures). |
46'000'000 | |
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ClinicalTrials.gov is a registry of federally and privately supported clinical trials conducted in the United States and around the world. ClinicalTrials.gov gives you information about a trial's purpose, who may participate, locations, and phone numbers for more details. This information should be used in conjunction with advice from health care professionals. Find trials for a specific medical condition or other criteria in the ClinicalTrials.gov registry. ClinicalTrials.gov currently has 80,834 trials with locations in 170 countries. |
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ChEBI
CiteXplore combines literature search with text mining tools for
biology. |
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Chemicals. CTD integrates a chemical subset of the Medical Subject Headings (MeSH®), the hierarchical vocabulary from the U.S. National Library of Medicine. You can view relationships among chemicals, obtain detailed information about them (including structure and toxicology data) and access related data (including genes, diseases, pathways and references) using the chemical browser. You can also use it to formulate gene, interaction and reference queries. Genes. The cross-species gene vocabulary (symbols, names, and synonyms) in CTD is derived from the Gene database at the National Center for Biotechnology Information (NCBI), a division of the U.S. National Library of Medicine. CTD curators may add to this vocabulary as required (e.g., to represent a species-specific gene that is not curated in NCBI Gene). Chemical, chemical–gene interaction, disease, reference, Gene Ontology and organism data are also provided for genes. You can search for genes by chemical name/symbol/accession ID, chemical–gene interaction type, gene symbol/name, disease, organism or Gene Ontology annotation. Chemical–Gene/Protein Interactions. To improve understanding about the mechanisms of chemical actions, we manually curate chemical–gene and protein interactions in vertebrates and invertebrates from the published literature. These interactions are both direct (e.g., “chemical binds to protein”) and indirect (e.g., “chemical results in increased phosphorylation of a protein” via intermediate events). Interactions are curated using a controlled interaction vocabulary that characterizes common physical, regulatory and biochemical interactions between chemicals and genes or proteins. This vocabulary comprises 70 terms including actions (e.g., “binds to”, “imports”), operators that describe the degree of a chemical's effect (e.g., “increases”), and qualifiers that specify the form of the gene or chemical involved in an interaction (e.g., “protein” or “chemical metabolite,” respectively). You can search chemical–gene interactions directly on the chemical–gene interaction query form. You may also search them on the gene and reference query forms by using the “chemical–gene interaction types” field. Chemical–gene interactions are presented via gene, reference and chemical detail pages. References that have not yet been curated manually are presented in CTD with chemical–gene/protein associations that have been extracted by an automated information retrieval method. Performing gene or reference queries without the “chemical–gene interaction types” field, you will search both manually curated interactions and automated chemical–gene associations. Diseases. CTD diseases consist of genetic disorders from the Online Mendelian Inheritance in Man (OMIM) database at the National Center for Biotechnology Information (NCBI) and the disease subset of the Medical Subject Headings (MeSH®), resources available through the U.S. National Library of Medicine. CTD curators mapped OMIM diseases to terms within the hierarchical MeSH disease vocabulary to expand disease representation in CTD. This combined disease vocabulary is used to curate gene–disease and chemical–disease relationships. You can browse diseases and use them to formulate gene and reference queries. Gene–Disease Relationships. CTD contains direct and inferred gene–disease relationships. Direct gene–disease relationships are curated from the published literature by CTD curators, or are derived from the OMIM database using the mim2gene file from the NCBI Gene database. Inferred relationships are established via CTD–curated chemical–gene interactions (e.g., gene A is associated with disease B because gene A has a curated interaction with chemical C, and chemical C has a direct relationship with disease B). Direct and inferred relationships are identified, and help users develop hypotheses about mechanisms underlying environmental diseases. Chemical–Disease Relationships. CTD contains direct and inferred chemical–disease relationships. Direct chemical–disease relationships are curated from the published literature by CTD curators. Inferred relationships are established via CTD–curated chemical–gene interactions (e.g., chemical A is associated with disease B because chemical A has a curated interaction with gene C, and gene C has a direct relationship with disease B). Direct and inferred relationships are identified, and help users develop hypotheses about mechanisms underlying environmental diseases. References. CTD contains references related to toxicologically significant vertebrate and invertebrate genes, diseases and associated chemicals. References were identified by information retrieval methods and comprise a subset of MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine. You can search for references by chemical, gene, organism taxon, disease, citation information and accession identifier. Using manual and automated methods, we are curating chemical–gene interactions from these references. Organisms. CTD's hierachical organism vocabulary consists of the Eumetazoa (vertebrates and invertebrates) component of the Taxonomy Database from NCBI, a division of the U.S. National Library of Medicine. You can browse organisms and use them to formulate gene, interaction and reference queries. Gene Ontology (GO). GO annotations are integrated with gene data in CTD. You can browse GO and use it to formulate gene and interaction queries. Pathways. KEGG pathway data is a collection of manually drawn pathway maps representing our knowledge on the molecular interaction and reaction networks. These data are integrated with chemicals, genes and diseases in CTD to provide insights into molecular networks that may be affected by chemicals, and possible mechanisms underlying environmental diseases. You can use KEGG pathway names or KEGG IDs to formulate gene and interaction queries. Pathway information is provided on chemical, gene/protein and disease detail pages. Link to datasource provider: |
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The DrugBank database is a unique bioinformatics and cheminformatics resource that combines detailed drug (i.e. chemical, pharmacological and pharmaceutical) data with comprehensive drug target (i.e. sequence, structure, and pathway) information. The database contains nearly 4800 drug entries including >1,350 FDA-approved small molecule drugs, 123 FDA-approved biotech (protein/peptide) drugs, 71 nutraceuticals and >3,243 experimental drugs. Additionally, more than 2,500 non-redundant protein (i.e. drug target) sequences are linked to these FDA approved drug entries. Each DrugCard entry contains more than 100 data fields with half of the information being devoted to drug/chemical data and the other half devoted to drug target or protein data. |
4'800 | |
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The
Directory of Open Access Journals (DOAJ) lists open access journals,
that is, scientific and scholarly journals that meet high quality
standards by exercising peer review or editorial quality control and are
free to all from the time of publication based on the Budapest Open
Access Initiative (BOAI) definition of open access. |
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Envirofacts contains chemical data from several different program system databases: the Aerometric Information Retrieval System, the Permit Compliance System, and the Toxics Release Inventory System. The Envirofacts Master Chemical Integrator (EMCI) identifies the chemicals in these systems. Using this integrator, you can learn details about a chemical substance, such as chemical names, discharge limits, and reported releases without knowing how the chemical is identified in the various program office systems throughout the Envirofacts database. The Chemical Query lets you obtain the acronyms, chemical identification numbers, and chemical names reported in the Envirofacts databases. You may also learn if the chemical is included in other groups, or composed of other chemical components. Additionally, you can get chemical information from the Toxic Releases Query, the Air Releases Query, and the Water Discharge Permits Query. You can also search our chemical reference information to learn more about the chemicals monitored by these databases. Click here to find a list of Envirofacts datasources EPA Envirofacts Data Source |
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What does eMolecules provide?
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10'000'000 | |
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This datasource search the European Patent Office database via the ChEBI CiteXplore search engine. European Patent Office (EPO) Espacenet is a free online service for searching patents and patent applications. Espacenet was developed by the European Patent Office (EPO) together with the member states of the European Patent Organisation. Every member state has an Espacenet service in its national language, and access to the EPO's worldwide database, most of which is in English. By the end of 2006, the Espacenet worldwide service contained records on almost 60 million patent publications. |
60'000'000 | |
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FDA is an agency within the Department of Health and Human Services and consists of centers and offices, which are listed in menu at left. The FDA is responsible for protecting the public health by assuring the safety, efficacy, and security of human and veterinary drugs, biological products, medical devices, our nation’s food supply, cosmetics, and products that emit radiation. The FDA is also responsible for advancing the public health by helping to speed innovations that make medicines and foods more effective, safer, and more affordable; and helping the public get the accurate, science-based information they need to use medicines and foods to improve their health. Link to datasource provider: http://www.fda.gov |
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Google
Scholar is a freely-accessible Web search engine that indexes the full
text of scholarly literature across an array of publishing formats and
disciplines. Released in beta in November 2004, the Google Scholar index
includes most peer-reviewed online journals of Europe and America's
largest scholarly publishers. |
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KEGG COMPOUND is a chemical structure database for metabolic compounds and other chemical substances that are relevant to biological systems. KEGG DRUG is a chemical structure based information resource for all approved drugs in Japan and the U.S.A. Each chemical structure is identified by the D number, and is associated with generic names, trade names, efficacy, target information, etc. |
15'000 | |
 |
Nature
Chemical Biology provides freely available summaries of the relevant
chemical, in vitro, cellular and in vivo information for newly reported
or newly characterized chemical probes reported in the journal. |
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The NCI database contains 250,251 structures, which corresponds to the open part of the NCI database up until and including the latest release of the DTP cancer screen results of August 2000. The structures used to build the Enhanced NCI Database Browser is also available for bulk download from this site in various formats, including structure files with screening data added. The original structure data and screening results are all maintained by NCI's Developmental Therapeutics Program. Additional information and downloadable files (such as the Standard Agent Database and the Mechanism of Action Database) can be obtained from that site. Database Size and Content At the time of this writing, the database contains 250,251 open records. Every record contains at least the NSC number and the chemical structure. Records without a chemical structure, which exist in the NCI DIS system, have not been included. The database in its first release contained 216,089 names (of 45,229 compounds) coming from the original DTP tables, 44,804 AIDS antiviral screening results, 1,886,719 GI50 tumor cell screen data rows, 1,889,077 LC50 tumor cell screen data rows, 1,890,137 TGI tumor cell screen data rows, 11384 Level I yeast data rows, 45900 Level II yeast data rows, and 122,631 CAS numbers from the original DTP sources. The second release of the database was enhanced by the results of many additional computational procedures, for example by computing CORINA and MSI Catalyst 3D coordinates, CACTVS structural complexity values, Organon drug likeness descriptors, two different logP calculation schemes, and others. We have also added IUPAC names calculated by ACD/Labs for 220,292 structures, and 64,188,212 (!) PASS pharmacological activity predictions. We intend to develop this database into a benchmark of structural descriptors and data mining algorithms. |
250'000 | |
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Overview
Dramatic advances in technologies and techniques for acquiring,
sequencing, and analyzing biological data have resulted in an explosion
of valuable information. This new information being generated is of
critical importance to biology, medical science, and drug discovery, but
its scale and complexity are overwhelming researchers' ability to
effectively utilize it. Moreover, biological data generated today are
heterogeneous and extremely specialized, and thus cannot be easily
searched using generic search engines. Finally, knowledge extraction is
typically performed by a highly trained and often scarce resource, the
bioinformatician. This approach is highly inefficient and inadequate for
researchers looking to quickly, without assistance, leverage the
knowledge and data that exist within their organizations as well as
within the global community. Content: · Experimental Data NextBio's integrated database contains publicly available data from a variety of sources, including GEO, caBIG, and Array Express, among others. All data entering NextBio undergoes a rigorous quality control process and passes through our semi-automated curation and tagging pipeline. All data within NextBio is correlated, and billions of pre-computations are calculated, enabling instant access to all studies and associations. NextBio is current with GEO, containing over 4,000 studies, 30,000 study results, and over 2 billion data points. NextBio's comprehensive database spans many major therapeutic groups and disease states. · Literature, News, and Clinical Trials Using our ontological framework, NextBio searches across text-based resources, such a literature, news, and clinical trials, to find all relevant information related to each search. NextBio contains over 18 million citations with full abstracts including all full-text content available in PubMed Central, over 56,000 clinical trials listings, and aggregated science news pulled from hundreds of sources. · Biogroups Biogroups are collections of genes sharing a specific biological function or pathway. Biogroups consist of signaling and metabolic pathways, protein families, gene ontologies, as well as other relevant gene sets. Examples of canonical gene lists represented as biogroups include those from the Gene Ontology Consortium and the Broad Institute's MSigDB. NextBio's library contains over 34,000 biogroups. · Ontologies With NextBio, all synonyms for genes, diseases, or drugs are recognized, allowing all relevant information to be presented for each and every query. NextBio incorporates sets of ontologies that include 65,000 disease concepts, 8 million compound clusters, and thousands of tissues, among others. · Cross-species Search Currently, NextBio supports 6 model organisms. Based on our ontologies, NextBio has created a cross-species ortholog-based translation engine, enabling users to retrieve all relevant results for genes, regardless of organism. This provides the largest possible context to interpret gene function and activity in normal tissues or disease states. Link to datasource provider: http://www.nextbio.com |
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| NIST Chemistry WebBook |
The NIST Chemistry WebBook provides access to data compiled and distributed by NIST under the Standard Reference Data Program. The NIST Chemistry WebBook contains:
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7'000 | |
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novo|seek is a biomedical search engine developed by bioalma for searching the published knowledge in biomedical literature.
novo|seek
indexes the biomedical literature from Medline, Full Text Publications
from Open Access Journals in PubMedCentral and US grants for over 75
institutions including the U.S. National Institutes of Health (NIH),
National Science Foundation, U.S. Department of Agriculture, and Centers
for Disease Control and Prevention (CDCP) with a text mining technology
that enables identification of the key biomedical terms. To do this
unambiguous identification the technology takes into account external
available data and contextual term information. As a result of this
indexing technology novo|seek is able to retrieve every document
where a term is mentioned no matter the synonym used and discards those
documents where the term is used with an unwanted meaning.
my novo|seek now allows you to:
Over 3 million key biomedical concepts such as diseases, drugs, chemical compounds, symptoms or genes. |
3'000'000 | |
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Open J-Gate is an electronic gateway to global journal literature in
open access domain. Launched in 2006, Open J-Gate is the contribution of
Informatics (India) Ltd to promote OAI. Open J-Gate provides seamless
access to millions of journal articles available online. Open J-Gate is
also a database of journal literature, indexed from 6720 open access
journals, with links to full text at Publisher sites. |
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Proceedings of the National Academy of Sciences of the United States of America PNAS is one of the world's most-cited multidisciplinary scientific serials. Since its establishment in 1914, it continues to publish cutting-edge research reports, commentaries, reviews, perspectives, colloquium papers, and actions of the Academy. Coverage in PNAS spans the biological, physical, and social sciences. PNAS is published weekly in print, and daily online in PNAS Early Edition. The PNAS impact factor is 9.598 for 2007. PNAS is available by subscription. PNAS Online PNAS Online launched in January 1997 and now receives over 11.6 million hits per month. The site contains the full text, figures, tables, equations, and references of all articles in PNAS dating back to 1990. PNAS articles are also published online before print in a feature called PNAS Early Edition as soon as they are accepted and final author changes are made. Release of articles became daily in June 2002. The date of online release is posted on the website and is the official date of publication. Papers are published online 1 to 5 weeks before they appear in print. PNAS can now offer publication in as little as 3.5 weeks after acceptance to authors who return their proofs quickly. PNAS Online provides free access to:
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PubChem provides information on the biological activities of small molecules. It is a component of NIH's Molecular Libraries Roadmap Initiative. The Substance/Compound database, where possible, provides links to BioAssay description, literature, references, and assay data points. PubChem includes substance information, compound structures, and BioActivity data in three primary databases. Pcsubstance contains more than 40 million records. Pccompound contains more than 19 million unique structures. |
19'600'000 | |
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PubMed is a service of the U.S. National Library of Medicine that includes over 18 million citations from MEDLINE and other life science journals for biomedical articles back to 1948. PubMed includes links to full text articles and other related resources. |
18'000'000 | |
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PubMed Central (PMC) is a digital archive of life sciences journal literature that includes more than one million articles.PMC also includes a growing number of final, peer-reviewed author manuscripts by scientists who receive research funding from NIH and other funding agencies. For information on manuscript submission, please visit the NIH Manuscript Submission System homepage. PMC provides free access to articles from journals that deposit their content in the archive. Although the articles are free, they are still protected by copyright. (See PubMed Central Copyright Information for more information.) PMC does not publish anything itself. (Find out how journal publishers can participate in PMC). PMC is managed by the National Center for Biotechnology Information (NCBI) at the U.S. National Library of Medicine (NLM).
What journals are currently available in PubMed Central? |
1'000'000 | |
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Find here similar structures, molecule identifiers (InChINames and InChIKeys, as well as Smiles). Also find synonyms and registry numbers associated with molecule (CAS, Beilstein, Gmelin etc.).
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| SIRI MSDS Index |
The SIRI MSDS archive is maintained by Dan Woodard, MD dan@hazard.com and Ralph Stuart, CIH. Our objective is to make critical safety information asimmediately and universally accessible as possible. In the case of material safety data sheets, this and similar archives can benefit both safety and productivityby replacing tens of thousands of paper MSDS indexes at individual worksites with a few universal online archives. Electronic archives provide a single source where any MSDS can be instantly located; it is essential that information from all manufacturers be accessible in a single index because it is often difficult in an emergency to identify the manufacturer. All information in this archive is freely accessible; to restrict access to this information by imposing passwords or fees would inevitably make it unavailable in an emergency, defeating the purpose of hazard communication. |
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| Freepatents online |
Free patents online has hundreds of gigabytes of full-text data which is keyword searchable using the most powerful search engine in the industry. In addition to full-text data, they ave terabytes (a terabyte is 1000 gigabytes) of images so that you can view patent diagrams. The specific full-text data that you can search is:
*Full-text
is not available for some documents prior to 1976, and for a small
number of documents after 1976, due to incomplete data entry by the
USPTO. Note that our US collection is more comprehensive than the
USPTO's due to the incorporation of other data sources for US documents
and our own OCR efforts
http://www.freepatentsonline.com
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Wikipedia's articles provide links to guide the user to related pages
with additional information. Homepage (english) : Wikipedia, the free encyclopedia There are currently more than 5000 molecules indexed in Wikipedia. |
5'000 | |
