Zobrazeno 1 - 10
of 13
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:
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:
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
Autor:
James S. Song, Gabriele H. Marchler, Carol DeWeese-Scott, Jodie J. Yin, Dmitri M. Krylov, John B. Anderson, Myra K. Derbyshire, Narmada Thanki, Aron Marchler-Bauer, Christopher J. Lanczycki, Zhaoxi Ke, Mikhail Mullokandov, Roxanne A. Yamashita, Chunlei Liu, John D. Jackson, Cynthia A. Liebert, Siqian He, Noreen R. Gonzales, Shennan Lu, Marc Gwadz, Fu Lu, Stephen H. Bryant, Luning Hao, David I. Hurwitz, Dachuan Zhang
Publikováno v:
Nucleic Acids Research
The conserved domain database (CDD) is part of NCBI's Entrez database system and serves as a primary resource for the annotation of conserved domain footprints on protein sequences in Entrez. Entrez's global query interface can be accessed at http://
Autor:
James S. Song, Farideh Chitsaz, Marc Gwadz, Stephen H. Bryant, Roxanne A. Yamashita, Narmada Thanki, Aron Marchler-Bauer, Lewis Y. Geer, Jane He, Gabriele H. Marchler, Noreen R. Gonzales, Chanjuan Zheng, Christopher J. Lanczycki, Zhouxi Wang, Dachuan Zhang, Renata C. Geer, Shennan Lu, David I. Hurwitz, Fu Lu, Myra K. Derbyshire
Publikováno v:
Nucleic Acids Research
NCBI's CDD, the Conserved Domain Database, enters its 15(th) 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 annotat
Autor:
Cynthia A. Liebert, David I. Hurwitz, Stephen H. Bryant, Gabriele H. Marchler, Paul A. Thiessen, Vahan Simonyan, James S. Song, Dachuan Zhang, Jodie J. Yin, John B. Anderson, Benjamin A. Shoemaker, John D. Jackson, Lewis Y. Geer, Carol DeWeese-Scott, Mikhail Mullokandov, Siqian He, Roxanne A. Yamashita, Christopher J. Lanczycki, Zhaoxi Ke, Chunlei Liu, Fu Lu, Aron Marchler-Bauer, Marc Gwadz, Praveen F. Cherukuri
Publikováno v:
Nucleic Acids Research
The Conserved Domain Database (CDD) is the protein classification component of NCBI's 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.g
Autor:
Wenyao Shi, Stephen H. Bryant, Jane He, Aron Marchler-Bauer, Renata C. Geer, Lianyi Han, Siqian He, Chunlei Liu, Lewis Y. Geer
Publikováno v:
Nucleic Acids Research
The NCBI BioSystems database, found at http://www.ncbi.nlm.nih.gov/biosystems/, centralizes and cross-links existing biological systems databases, increasing their utility and target audience by integrating their pathways and systems into NCBI resour