Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Stephen H. Bryant"'
Autor:
James S. Song, Yu Bo, Narmada Thanki, Dachuan Zhang, Zhouxi Wang, Jane He, Myra K. Derbyshire, Roxanne A. Yamashita, Stephen H. Bryant, Farideh Chitsaz, Noreen R. Gonzales, Lianyi Han, Lewis Y. Geer, Aron Marchler-Bauer, Chanjuan Zheng, Christopher J. Lanczycki, Marc Gwadz, Renata C. Geer, Fu Lu, Gabriele H. Marchler, Shennan Lu, David I. Hurwitz
Publikováno v:
Nucleic Acids Research
NCBI's Conserved Domain Database (CDD) aims at annotating biomolecular sequences with the location of evolutionarily conserved protein domain footprints, and functional sites inferred from such footprints. An archive of pre-computed domain annotation
Autor:
Renata C. Geer, Aron Marchler-Bauer, Paul A. Thiessen, Christopher J. Lanczycki, Stephen H. Bryant, Dachuan Zhang, Thomas Madej
Publikováno v:
Nucleic Acids Research
The computational detection of similarities between protein 3D structures has become an indispensable tool for the detection of homologous relationships, the classification of protein families and functional inference. Consequently, numerous algorith
Autor:
David I. Hurwitz, Christopher J. Lanczycki, Noreen R. Gonzales, Stephen H. Bryant, Farideh Chitsaz, James S. Song, Marc Gwadz, Gabriele H. Marchler, Narmada Thanki, Lewis Y. Geer, Dachuan Zhang, Renata C. Geer, Fu Lu, Chanjuan Zheng, Roxanne A. Yamashita, Myra K. Derbyshire, Aron Marchler-Bauer, Shennan Lu
Publikováno v:
Nucleic Acids Research
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 doma
Autor:
Ratna R. Thangudu, Aron Marchler-Bauer, Jessica H. Fong, Dachuan Zhang, Anna R. Panchenko, Manoj Tyagi, Benjamin A. Shoemaker, Thomas Madej, Stephen H. Bryant
Publikováno v:
Nucleic Acids Research
We have recently developed the Inferred Biomolecular Interaction Server (IBIS) and database, which reports, predicts and integrates different types of interaction partners and locations of binding sites in proteins based on the analysis of homologous
Autor:
Chunlei Liu, Renata C. Geer, Kenneth J. Addess, Anna R. Panchenko, Lewis Y. Geer, Thomas Madej, Stephen H. Bryant, Aron Marchler-Bauer, Christopher J. Lanczycki, Shennan Lu, Jie Chen, Jessica H. Fong, Dachuan Zhang, Yanli Wang, Paul A. Thiessen
Publikováno v:
Nucleic Acids Research
Close to 60% of protein sequences tracked in comprehensive databases can be mapped to a known three-dimensional (3D) structure by standard sequence similarity searches. Potentially, a great deal can be learned about proteins or protein families of in
Autor:
Fu-Ping Lu, Carol DeWeese-Scott, John B. Anderson, James S. Song, Christopher J. Lanczycki, Zhaoxi Ke, Farideh Chitsaz, John D. Jackson, Mikhail Mullokandov, Roxanne A. Yamashita, Aron Marchler-Bauer, Marina V. Omelchenko, Chanjuan Zheng, Naigong Zhang, Noreen R. Gonzales, Marc Gwadz, Cynthia L. Robertson, Stephen H. Bryant, Gabriele H. Marchler, Jessica H. Fong, David I. Hurwitz, Lewis Y. Geer, Narmada Thanki, Renata C. Geer, Dachuan Zhang, Myra K. Derbyshire, Shennan Lu
Publikováno v:
Nucleic Acids Research
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
Autor:
Evan E Bolton, Stephen H. Bryant, Karen Karapetyan, Jian Zhang, Yanli Wang, Tugba O. Suzek, Svetlana Dracheva, Benjamin A. Shoemaker, Jiyao Wang, Jewen Xiao
Publikováno v:
Nucleic Acids Research
The PubChem BioAssay database (http://pubchem.ncbi.nlm.nih.gov) is a public repository for biological activities of small molecules and small interfering RNAs (siRNAs) hosted by the US National Institutes of Health (NIH). It archives experimental des
Autor:
Eric W. Sayers, Tanya Barrett, Dennis A. Benson, Evan Bolton, Stephen H. Bryant, Kathi Canese, Vyacheslav Chetvernin, Deanna M. Church, Michael DiCuccio, Scott Federhen, Michael Feolo, Lewis Y. Geer, Wolfgang Helmberg, Yuri Kapustin, David Landsman, David J. Lipman, Zhiyong Lu, Thomas L. Madden, Tom Madej, Donna R. Maglott, Aron Marchler-Bauer, Vadim Miller, Ilene Mizrachi, James Ostell, Anna Panchenko, Kim D. Pruitt, Gregory D. Schuler, Edwin Sequeira, Stephen T. Sherry, Martin Shumway, Karl Sirotkin, Douglas Slotta, Alexandre Souvorov, Grigory Starchenko, Tatiana A. Tatusova, Lukas Wagner, Yanli Wang, W. John Wilbur, Eugene Yaschenko, Jian Ye
Publikováno v:
Nucleic Acids Research
Scopus-Elsevier
Scopus-Elsevier
In addition to maintaining the GenBank® nucleic acid sequence database, the National Center for Biotechnology Information (NCBI) provides analysis and retrieval resources for the data in GenBank and other biological data made available through the N
Autor:
Thomas Madej, Manoj Tyagi, Benjamin A. Shoemaker, Aron Marchler-Bauer, Dachuan Zhang, Stephen H. Bryant, Ratna R. Thangudu, Anna R. Panchenko, Jessica H. Fong
Publikováno v:
Nucleic Acids Research
IBIS is the NCBI Inferred Biomolecular Interaction Server. This server organizes, analyzes and predicts interaction partners and locations of binding sites in proteins. IBIS provides annotations for different types of binding partners (protein, chemi
Autor:
Farideh Chitsaz, Mikhail Mullokandov, Stephen H. Bryant, Siqian He, Jessica H. Fong, John B. Anderson, Fu-er Lu, Asba Tasneem, Myra K. Derbyshire, David I. Hurwitz, Renata C. Geer, Roxanne A. Yamashita, Carol DeWeese-Scott, James S. Song, Christopher J. Lanczycki, Zhaoxi Ke, Cynthia A. Liebert, Shennan Lu, Chunlei Liu, Dachuan Zhang, Noreen R. Gonzales, Naigong Zhang, Narmada Thanki, Lewis Y. Geer, John D. Jackson, Gabriele H. Marchler, Aron Marchler-Bauer, Marc Gwadz
Publikováno v:
Nucleic Acids Research
NCBI's 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