ChemDB update--full-text search and virtual chemical space

ChemDB is a chemical database containing nearly 5M commercially available small molecules, important for use as synthetic building blocks, probes in systems biology and as leads for the discovery of drugs and other useful compounds. The data is publicly available over the web for download and for targeted searches using a variety of powerful methods. The chemical data includes predicted or experimentally determined physicochemical properties, such as 3D structure, melting temperature and solubility. Recent developments include optimization of chemical structure (and substructure) retrieval algorithms, enabling full database searches in less than a second. A text-based search engine allows efficient searching of compounds based on over 65M annotations from over 150 vendors. When searching for chemicals by name, fuzzy text matching capabilities yield productive results even when the correct spelling of a chemical name is unknown, taking advantage of both systematic and common names. Finally, built in reaction models enable searches through virtual chemical space, consisting of hypothetical products readily synthesizable from the building blocks in ChemDB. AVAILABILITY: ChemDB and Supplementary Materials are available at http://cdb.ics.uci.edu. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.     

The Binding Database: data management and interface design

MOTIVATION: The large and growing body of experimental data on biomolecular binding is of enormous value in developing a deeper understanding of molecular biology, in developing new therapeutics, and in various molecular design applications. However, most of these data are found only in the published literature and are therefore difficult to access and use. No existing public database has focused on measured binding affinities and has provided query capabilities that include chemical structure and sequence homology searches. METHODS & RESULTS: We have created Binding DataBase (BindingDB), a public, web-accessible database of measured binding affinities. BindingDB is based upon a relational data specification for describing binding measurements via Isothermal Titration Calorimetry (ITC) and enzyme inhibition. A corresponding XML Document Type Definition (DTD) is used to create and parse intermediate files during the on-line deposition process and will also be used for data interchange, including collection of data from other sources. The on-line query interface, which is constructed with Java Servlet technology, supports standard SQL queries as well as searches for molecules by chemical structure and sequence homology. The on-line deposition interface uses Java Server Pages and JavaBean objects to generate dynamic HTML and to store intermediate results. The resulting data resource provides a range of functionality with brisk response-times, and lends itself well to continued development and enhancement.     

Collation and data-mining of literature bioactivity data for drug discovery

The challenge of translating the huge amount of genomic and biochemical data into new drugs is a costly and challenging task. Historically, there has been comparatively little focus on linking the biochemical and chemical worlds. To address this need, we have developed ChEMBL, an online resource of small-molecule SAR (structure-activity relationship) data, which can be used to support chemical biology, lead discovery and target selection in drug discovery. The database contains the abstracted structures, properties and biological activities for over 700000 distinct compounds and in excess of more than 3 million bioactivity records abstracted from over 40000 publications. Additional public domain resources can be readily integrated into the same data model (e.g. PubChem BioAssay data). The compounds in ChEMBL are largely extracted from the primary medicinal chemistry literature, and are therefore usually 'drug-like' or 'lead-like' small molecules with full experimental context. The data cover a significant fraction of the discovery of modern drugs, and are useful in a wide range of drug design and discovery tasks. In addition to the compound data, ChEMBL also contains information for over 8000 protein, cell line and whole-organism 'targets', with over 4000 of those being proteins linked to their underlying genes. The database is searchable both chemically, using an interactive compound sketch tool, protein sequences, family hierarchies, SMILES strings, compound research codes and key words, and biologically, using a variety of gene identifiers, protein sequence similarity and protein families. The information retrieved can then be readily filtered and downloaded into various formats. ChEMBL can be accessed online at https://www.ebi.ac.uk/chembldb.     

绒山羊分子生物学数据库的设计与构建

结合国内外对绒山羊的分子生物学研究,利用已有的遗传多态、基因序列和结构、功能等方 面的数据,以计算机网络为载体,参考国际通用数据库的格式,建立一个简洁、友好、通用而且专用 性强的绒山羊分子生物学数据库。该数据库主要由文献索引库,基因组学库及绒山羊知识库组成。 数据库的建立为绒山羊的分子生物学研究提供一个良好的数据平台,为从事绒山羊遗传多态、遗传 进化、分子育种、绒毛生长机理等方面的理论和应用研究的工作者提供方便和帮助,并为探索其他 草食家畜分子生物学数据库的构建积累经验。     

Federating data with Information Integrator

Information Integrator is an extension to IBM's relational database DB2, which uses data federation to provide benefits to molecular biology researchers through two unique capabilities: increased flexibility in combining data from disparate sources, and SQL access to non-SQL data, easing the task of automating data analysis.     

Free Marine Natural Products Databases for Biotechnology and Bioengineering

Marine organisms and micro‐organisms are a source of natural compounds with unique chemical features. These chemical properties are useful for the discovery of new functions and applications of marine natural products (MNPs). To extensively exploit the potential implementations of MNPs, they are gathered in chemical databases that allow their study and screening for applications of biotechnological interest. However, the classification of MNPs is currently poor in generic chemical databases. The present availability of free‐access‐focused MNP databases is scarce and the molecular diversity of these databases is still very low when compared to the paid‐access ones. In this review paper, the current scenario of free‐access MNP databases is presented as well as the hindrances involved in their development, mainly compound dereplication. Examples and opportunities for using freely accessible MNP databases in several important areas of biotechnology are also assessed. The scope of this paper is, as well, to notify the latent potential of these information sources for the discovery and development of new MNPs in biotechnology, and push future efforts to develop a public domain MNP database freely available for the scientific community.     

A chemical approach to stem cell biology

Small molecule libraries have been used successfully to probe several biological systems. Recent work has translated these successes across to the field of stem cell biology. Stem cells hold promise for both modeling of early development as well as having therapeutic potential. Enhanced understanding of the molecular mechanisms that control stem cell fates as well as an improved ability to manipulate cell populations are required. Known mechanistic chemical compounds have been used with stem cells to accomplish these two goals. More recently, through the utilization of high fitness libraries in phenotype-based screens, several small molecules that control self-renewal and differentiation in stem cells have been identified. These small molecules provide useful chemical tools for both basic research and practical applications.     

The binding database: overview and user's guide

The large and growing body of experimental data on molecular binding is of enormous value in biology, pharmacology, and chemistry. Applications include the assignment of function to biomolecules, drug discovery, molecular modeling, and nanotechnology. However, binding data are difficult to find and access because they are available almost exclusively through scientific journals. BindingDB, a public, web-accessible database of measured binding affinities, is designed to address this problem. BindingDB collects data for natural and modified biomolecules and for synthetic compounds, and provides detailed experimental information. Currently, measurements by isothermal titration calorimetry are fully supported; measurements by enzyme inhibition will soon be included as well. The web site allows data to be searched by a range of criteria, including binding thermodynamics, sequence homology, and chemical structure, substructure, and similarity. Experimentalists are encouraged to publicize their data by entering it into BindingDB via the online forms. Such data can be updated or revised by the depositor, if necessary, and will remain publicly accessible. User involvement and feedback are welcomed.     

Correcting ligands, metabolites, and pathways

Background  

A wide range of research areas in bioinformatics, molecular biology and medicinal chemistry require precise chemical structure information about molecules and reactions, e.g. drug design, ligand docking, metabolic network reconstruction, and systems biology. Most available databases, however, treat chemical structures more as illustrations than as a datafield in its own right. Lack of chemical accuracy impedes progress in the areas mentioned above. We present a database of metabolites called BioMeta that augments the existing pathway databases by explicitly assessing the validity, correctness, and completeness of chemical structure and reaction information.     

The creation of a database of odorous compounds focused on molecular rigidity and analysis of the molecular features of the compounds in the database

It is important to select odorous molecules for experiments on olfaction and for the development of an electronic nose. Odorous molecules having a small number of conformers, namely structurally rigid molecules, are assumed to interact with a small number of types of olfactory receptor proteins or to interact with the proteins in a simpler manner than that of fairly flexible molecules. Focusing on the rigidity of molecular structures, we collected 287 odorous molecules from data sources, which included 1205 chemicals in total and a database of the 287 odorous molecules (DB_odMOL) was created using CS ChemFinder Pro (version 5.0). The logarithmic value of the octanol/water partition coefficient (log P) and melting point, boiling point and vapour pressure of the molecules were estimated using CS Chem3D Pro. The database DB_odMOL accumulates these estimated data in addition to literature values for odour quality, odour detection thresholds and the safety of molecules. The rigidity of the 287 molecules was further analysed by conformational analysis performed by molecular mechanics using Conformer in CS Chem3D Pro (version 5) and 72 rigid odorous molecules were selected. The 287 molecules were also analysed based on atomic composition, substructure and molecular size. Sixty-two odorous molecules among the 72 rigid odorous molecules were further selected based on their atomic composition. The 62 rigid molecules with simple atomic composition that were finally selected should be useful for researchers in choosing odorous molecules for the study of olfaction, including the fields of molecular biology, physiology, structure-odour relationships and other fields of the study concerning odour.     

Construction of a microbial natural product library for chemical biology studies

The RIKEN Natural Products Depository (NPDepo) is a public depository of small molecules. Currently, the NPDepo chemical library contains 39,200 pure compounds, half of which are natural products and their derivatives. In order to reinforce the uniqueness of our chemical library, we have improved our strategies for the collection of microbial natural products. Firstly, a microbial metabolite fraction library coupled with an MP (microbial products) plot database provides a powerful resource for the efficient isolation of microbial metabolites. Secondly, biosynthetic studies of microbial metabolites have enabled us to not only access ingenious biosynthetic machineries, but also obtain a variety of biosynthetic intermediates. Our chemical library contributes to the discovery of molecular probes for increasing our understanding of complex biological processes and for eventually developing new drug leads.     

How good is your screening library?

Efficient library design is an ongoing challenge for investigators seeking novel ligands for proteins, whether for drug discovery or chemical biology. Strategies that add neglected chemistry or exclude unproductive compounds are two dominant recent themes, as is a growing awareness of molecular complexity and its implications. The choice of how complex molecules in screening libraries should be often amounts to how big they should be. Small, simple molecules have lower affinities and must be screened at high concentration, but they will also have higher hit rates. Larger compounds, on the other hand, will often more closely resemble final drugs, but because they are more highly functionalized and specific, they will have much lower hit rates. The best general-purpose screening libraries may well be those of intermediate complexity that are free of artifact-causing nuisance compounds.     

Inhibitors of Escherichia coli serine acetyltransferase block proliferation of Entamoeba histolytica trophozoites

The protozoan parasite Entamoeba histolytica is the etiologic agent of amebiasis, a major global public health problem, particularly in developing countries. There is an effective anti-amoebic drug available, however its long term use produces undesirable side effects. As E. histolytica is a micro-aerophilic organism, it is sensitive to high levels of oxygen and the enzymes that are involved in protecting against oxygen-stress are crucial for its survival. Therefore serine acetyltransferase, an enzyme involved in cysteine biosynthesis, was used as a target for identifying potential inhibitors. Virtual screening with Escherichia coli serine acetyltransferase was carried out against the National Cancer Institute chemical database utilizing molecular docking tools such as GOLD and FlexX. The initial analysis yielded 11 molecules of which three compounds were procured and tested for biological activity. The results showed that these compounds partially block activity of the E. coli enzyme and the growth of E. histolytica trophozoites but not mammalian cells.     

Chemistry and biology for the small molecules targeting characteristics of cancer cells

Despite the marked progress of cancer research, cancer is the predominant cause of death in Japan, and therefore development of effective therapeutic drugs is expected.

Chemical biology is a research field utilizing small molecules to investigate biological phenomena. One of the most important aims of chemical biology is to find the small molecules, and natural products are ideal screening sources due to their structural diversity. Therefore, natural product screening based on the progress of chemical biology prompted us to find small molecules targeting cancer characteristics. Another contribution of chemical biology is to facilitate the target identification of small molecule. Therefore, among a variety of methods to uncover protein function, chemical biology is a remarkable approach in which small molecules are used as probes to elucidate protein functions related to cancer development.

Abbreviations: EGF: Epidermal growth factor; PDGF: Platelet-derived growth factor; CRPC: Castration-resistant prostate cancer; AR: Androgen receptor; FTase: Farnesyl transferase; 5-LOX: 5-Lipoxygenase; LT: Leukotriene; CysLT1: Cysteinyl leukotriene receptor 1; GPA: Glucopiericidin A; PA: Piericidin A; XN: Xanthohumol; VCP: Valosin-containing protein; ACACA: Acetyl-CoA carboxylase-α.     

The EBI SRS server-new features

MOTIVATION: Here we report on recent developments at the EBI SRS server (http://srs.ebi.ac.uk). SRS has become an integration system for both data retrieval and sequence analysis applications. The EBI SRS server is a primary gateway to major databases in the field of molecular biology produced and supported at EBI as well as European public access point to the MEDLINE database provided by US National Library of Medicine (NLM). It is a reference server for latest developments in data and application integration. The new additions include: concept of virtual databases, integration of XML databases like the Integrated Resource of Protein Domains and Functional Sites (InterPro), Gene Ontology (GO), MEDLINE, Metabolic pathways, etc., user friendly data representation in 'Nice views', SRSQuickSearch bookmarklets. AVAILABILITY: SRS6 is a licensed product of LION Bioscience AG freely available for academics. The EBI SRS server (http://srs.ebi.ac.uk) is a free central resource for molecular biology data as well as a reference server for the latest developments in data integration.     

dbSNP: a database of single nucleotide polymorphisms

In response to a need for a general catalog of genome variation to address the large-scale sampling designs required by association studies, gene mapping and evolutionary biology, the National Cancer for Biotechnology Information (NCBI) has established the dbSNP database. Submissions to dbSNP will be integrated with other sources of information at NCBI such as GenBank, PubMed, LocusLink and the Human Genome Project data. The complete contents of dbSNP are available to the public at website: http://www.ncbi.nlm.nih.gov/SNP. Submitted SNPs can also be downloaded via anonymous FTP at ftp://ncbi.nlm.nih.gov/snp/     

The guide RNA database.

Guide RNAs (gRNAs) are small, metabolically stable RNA molecules which perform a pivotal, template-like function during the RNA editing process in kinetoplastid protozoa. The gRNA database currently contains 250 guide RNA sequences as well as secondary and tertiary structure models and other relevant information. The database is made available as a hypertext document accessible via the World Wide Web (WWW) at the URL: http://www.biochem.mpg.de/ goeringe/