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Dive into the research topics where Stephen H. Bryant is active.

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Featured researches published by Stephen H. Bryant.


Nucleic Acids Research | 2011

CDD: a Conserved Domain Database for the functional annotation of proteins

Shennan Lu; John B. Anderson; Farideh Chitsaz; Myra K. Derbyshire; Carol DeWeese-Scott; Jessica H. Fong; Lewis Y. Geer; Renata C. Geer; Noreen R. Gonzales; Marc Gwadz; David I. Hurwitz; John D. Jackson; Zhaoxi Ke; Christopher J. Lanczycki; Fu-Ping Lu; Gabriele H. Marchler; Mikhail Mullokandov; Marina V. Omelchenko; Cynthia L. Robertson; James S. Song; Narmada Thanki; Roxanne A. Yamashita; Dachuan Zhang; Naigong Zhang; Chanjuan Zheng; Stephen H. Bryant

NCBI’s Conserved Domain Database (CDD) is a resource for the annotation of protein sequences with the location of conserved domain footprints, and functional sites inferred from these footprints. CDD includes manually curated domain models that make use of protein 3D structure to refine domain models and provide insights into sequence/structure/function relationships. Manually curated models are organized hierarchically if they describe domain families that are clearly related by common descent. As CDD also imports domain family models from a variety of external sources, it is a partially redundant collection. To simplify protein annotation, redundant models and models describing homologous families are clustered into superfamilies. By default, domain footprints are annotated with the corresponding superfamily designation, on top of which specific annotation may indicate high-confidence assignment of family membership. Pre-computed domain annotation is available for proteins in the Entrez/Protein dataset, and a novel interface, Batch CD-Search, allows the computation and download of annotation for large sets of protein queries. CDD can be accessed via http://www.ncbi.nlm.nih.gov/Structure/cdd/cdd.shtml.


Nucleic Acids Research | 2015

CDD: NCBI's conserved domain database

Myra K. Derbyshire; Noreen R. Gonzales; Shennan Lu; Farideh Chitsaz; Lewis Y. Geer; Renata C. Geer; Jane He; Marc Gwadz; David I. Hurwitz; Christopher J. Lanczycki; Fu Lu; Gabriele H. Marchler; James S. Song; Narmada Thanki; Zhouxi Wang; Roxanne A. Yamashita; Dachuan Zhang; Chanjuan Zheng; Stephen H. Bryant

NCBIs CDD, the Conserved Domain Database, enters its 15th year as a public resource for the annotation of proteins with the location of conserved domain footprints. Going forward, we strive to improve the coverage and consistency of domain annotation provided by CDD. We maintain a live search system as well as an archive of pre-computed domain annotation for sequences tracked in NCBIs Entrez protein database, which can be retrieved for single sequences or in bulk. We also maintain import procedures so that CDD contains domain models and domain definitions provided by several collections available in the public domain, as well as those produced by an in-house curation effort. The curation effort aims at increasing coverage and providing finer-grained classifications of common protein domains, for which a wealth of functional and structural data has become available. CDD curation generates alignment models of representative sequence fragments, which are in agreement with domain boundaries as observed in protein 3D structure, and which model the structurally conserved cores of domain families as well as annotate conserved features. CDD can be accessed at http://www.ncbi.nlm.nih.gov/Structure/cdd/cdd.shtml.


Nucleic Acids Research | 2004

CD-Search: protein domain annotations on the fly

Stephen H. Bryant

We describe the Conserved Domain Search service (CD-Search), a web-based tool for the detection of structural and functional domains in protein sequences. CD-Search uses BLAST(R) heuristics to provide a fast, interactive service, and searches a comprehensive collection of domain models. Search results are displayed as domain architecture cartoons and pairwise alignments between the query and domain-model consensus sequences. Search results may be visualized in further detail by embedding the query sequence into multiple alignment displays and by mapping onto three-dimensional molecular graphic displays of known structures within the domain family. CD-Search can be accessed at http://www.ncbi.nlm.nih.gov/Structure/cdd/wrpsb.cgi.


Nucleic Acids Research | 2004

CDD: a Conserved Domain Database for protein classification

John B. Anderson; Praveen F. Cherukuri; Carol DeWeese-Scott; Lewis Y. Geer; Marc Gwadz; Siqian He; David I. Hurwitz; John D. Jackson; Zhaoxi Ke; Christopher J. Lanczycki; Cynthia A. Liebert; Chunlei Liu; Fu Lu; Gabriele H. Marchler; Mikhail Mullokandov; Benjamin A. Shoemaker; Vahan Simonyan; James S. Song; Paul A. Thiessen; Roxanne A. Yamashita; Jodie J. Yin; Dachuan Zhang; Stephen H. Bryant

The Conserved Domain Database (CDD) is the protein classification component of NCBIs Entrez query and retrieval system. CDD is linked to other Entrez databases such as Proteins, Taxonomy and PubMed®, and can be accessed at http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=cdd. CD-Search, which is available at http://www.ncbi.nlm.nih.gov/Structure/cdd/wrpsb.cgi, is a fast, interactive tool to identify conserved domains in new protein sequences. CD-Search results for protein sequences in Entrez are pre-computed to provide links between proteins and domain models, and computational annotation visible upon request. Protein–protein queries submitted to NCBIs BLAST search service at http://www.ncbi.nlm.nih.gov/BLAST are scanned for the presence of conserved domains by default. While CDD started out as essentially a mirror of publicly available domain alignment collections, such as SMART, Pfam and COG, we have continued an effort to update, and in some cases replace these models with domain hierarchies curated at the NCBI. Here, we report on the progress of the curation effort and associated improvements in the functionality of the CDD information retrieval system.


Nucleic Acids Research | 2009

CDD: specific functional annotation with the Conserved Domain Database.

John B. Anderson; Farideh Chitsaz; Myra K. Derbyshire; Carol DeWeese-Scott; Jessica H. Fong; Lewis Y. Geer; Renata C. Geer; Noreen R. Gonzales; Marc Gwadz; Siqian He; David I. Hurwitz; John D. Jackson; Zhaoxi Ke; Christopher J. Lanczycki; Cynthia A. Liebert; Chunlei Liu; Fu-er Lu; Shennan Lu; Gabriele H. Marchler; Mikhail Mullokandov; James S. Song; Asba Tasneem; Narmada Thanki; Roxanne A. Yamashita; Dachuan Zhang; Naigong Zhang; Stephen H. Bryant

NCBIs Conserved Domain Database (CDD) is a collection of multiple sequence alignments and derived database search models, which represent protein domains conserved in molecular evolution. The collection can be accessed at http://www.ncbi.nlm.nih.gov/Structure/cdd/cdd.shtml, and is also part of NCBIs Entrez query and retrieval system, cross-linked to numerous other resources. CDD provides annotation of domain footprints and conserved functional sites on protein sequences. Precalculated domain annotation can be retrieved for protein sequences tracked in NCBIs Entrez system, and CDDs collection of models can be queried with novel protein sequences via the CD-Search service at http://www.ncbi.nlm.nih.gov/Structure/cdd/wrpsb.cgi. Starting with the latest version of CDD, v2.14, information from redundant and homologous domain models is summarized at a superfamily level, and domain annotation on proteins is flagged as either ‘specific’ (identifying molecular function with high confidence) or as ‘non-specific’ (identifying superfamily membership only).


Nucleic Acids Research | 2007

CDD: a conserved domain database for interactive domain family analysis

John B. Anderson; Myra K. Derbyshire; Carol DeWeese-Scott; Noreen R. Gonzales; Marc Gwadz; Luning Hao; Siqian He; David I. Hurwitz; John D. Jackson; Zhaoxi Ke; Dmitri M. Krylov; Christopher J. Lanczycki; Cynthia A. Liebert; Chunlei Liu; Fu Lu; Shennan Lu; Gabriele H. Marchler; Mikhail Mullokandov; James S. Song; Narmada Thanki; Roxanne A. Yamashita; Jodie J. Yin; Dachuan Zhang; Stephen H. Bryant

The conserved domain database (CDD) is part of NCBIs Entrez database system and serves as a primary resource for the annotation of conserved domain footprints on protein sequences in Entrez. Entrezs global query interface can be accessed at and will search CDD and many other databases. Domain annotation for proteins in Entrez has been pre-computed and is readily available in the form of ‘Conserved Domain’ links. Novel protein sequences can be scanned against CDD using the CD-Search service; this service searches databases of CDD-derived profile models with protein sequence queries using BLAST heuristics, at . Protein query sequences submitted to NCBIs protein BLAST search service are scanned for conserved domain signatures by default. The CDD collection contains models imported from Pfam, SMART and COG, as well as domain models curated at NCBI. NCBI curated models are organized into hierarchies of domains related by common descent. Here we report on the status of the curation effort and present a novel helper application, CDTree, which enables users of the CDD resource to examine curated hierarchies. More importantly, CDD and CDTree used in concert, serve as a powerful tool in protein classification, as they allow users to analyze protein sequences in the context of domain family hierarchies.


Annual Reports in Computational Chemistry | 2008

PubChem: Integrated Platform of Small Molecules and Biological Activities

Evan Bolton; Yanli Wang; Paul A. Thiessen; Stephen H. Bryant

Abstract PubChem is an open repository for experimental data identifying the biological activities of small molecules. PubChem contents include more than: 1000 bioassays, 28 million bioassay test outcomes, 40 million substance contributed descriptions, and 19 million unique compound structures contributed from over 70 depositing organizations. PubChem provides a significant, publicly accessible platform for mining the biological information of small molecules.


Nucleic Acids Research | 2009

PubChem: a public information system for analyzing bioactivities of small molecules

Yanli Wang; Jewen Xiao; Tugba O. Suzek; Jian Zhang; Jiyao Wang; Stephen H. Bryant

PubChem (http://pubchem.ncbi.nlm.nih.gov) is a public repository for biological properties of small molecules hosted by the US National Institutes of Health (NIH). PubChem BioAssay database currently contains biological test results for more than 700 000 compounds. The goal of PubChem is to make this information easily accessible to biomedical researchers. In this work, we present a set of web servers to facilitate and optimize the utility of biological activity information within PubChem. These web-based services provide tools for rapid data retrieval, integration and comparison of biological screening results, exploratory structure–activity analysis, and target selectivity examination. This article reviews these bioactivity analysis tools and discusses their uses. Most of the tools described in this work can be directly accessed at http://pubchem.ncbi.nlm.nih.gov/assay/. URLs for accessing other tools described in this work are specified individually.


Nucleic Acids Research | 2016

PubChem Substance and Compound databases

Sunghwan Kim; Paul A. Thiessen; Evan Bolton; Jie Chen; Gang Fu; Asta Gindulyte; Lianyi Han; Jane He; Siqian He; Benjamin A. Shoemaker; Jiyao Wang; Bo Yu; Jian-Jian Zhang; Stephen H. Bryant

PubChem (https://pubchem.ncbi.nlm.nih.gov) is a public repository for information on chemical substances and their biological activities, launched in 2004 as a component of the Molecular Libraries Roadmap Initiatives of the US National Institutes of Health (NIH). For the past 11 years, PubChem has grown to a sizable system, serving as a chemical information resource for the scientific research community. PubChem consists of three inter-linked databases, Substance, Compound and BioAssay. The Substance database contains chemical information deposited by individual data contributors to PubChem, and the Compound database stores unique chemical structures extracted from the Substance database. Biological activity data of chemical substances tested in assay experiments are contained in the BioAssay database. This paper provides an overview of the PubChem Substance and Compound databases, including data sources and contents, data organization, data submission using PubChem Upload, chemical structure standardization, web-based interfaces for textual and non-textual searches, and programmatic access. It also gives a brief description of PubChem3D, a resource derived from theoretical three-dimensional structures of compounds in PubChem, as well as PubChemRDF, Resource Description Framework (RDF)-formatted PubChem data for data sharing, analysis and integration with information contained in other databases.


Nucleic Acids Research | 2012

CDD: conserved domains and protein three-dimensional structure

Chanjuan Zheng; Farideh Chitsaz; Myra K. Derbyshire; Lewis Y. Geer; Renata C. Geer; Noreen R. Gonzales; Marc Gwadz; David I. Hurwitz; Christopher J. Lanczycki; Fu Lu; Shennan Lu; Gabriele H. Marchler; James S. Song; Narmada Thanki; Roxanne A. Yamashita; Dachuan Zhang; Stephen H. Bryant

CDD, the Conserved Domain Database, is part of NCBI’s Entrez query and retrieval system and is also accessible via http://www.ncbi.nlm.nih.gov/Structure/cdd/cdd.shtml. CDD provides annotation of protein sequences with the location of conserved domain footprints and functional sites inferred from these footprints. Pre-computed annotation is available via Entrez, and interactive search services accept single protein or nucleotide queries, as well as batch submissions of protein query sequences, utilizing RPS-BLAST to rapidly identify putative matches. CDD incorporates several protein domain and full-length protein model collections, and maintains an active curation effort that aims at providing fine grained classifications for major and well-characterized protein domain families, as supported by available protein three-dimensional (3D) structure and the published literature. To this date, the majority of protein 3D structures are represented by models tracked by CDD, and CDD curators are characterizing novel families that emerge from protein structure determination efforts.

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Yanli Wang

National Institutes of Health

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Anna R. Panchenko

National Institutes of Health

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Evan Bolton

National Institutes of Health

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Lewis Y. Geer

National Institutes of Health

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Paul A. Thiessen

National Institutes of Health

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Benjamin A. Shoemaker

National Institutes of Health

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Thomas Madej

National Institutes of Health

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James S. Song

National Institutes of Health

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Roxanne A. Yamashita

National Institutes of Health

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