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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

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 | 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.


Proceedings of the National Academy of Sciences of the United States of America | 2007

Analysis of phosphorylation sites on proteins from Saccharomyces cerevisiae by electron transfer dissociation (ETD) mass spectrometry

An Chi; Curtis Huttenhower; Lewis Y. Geer; Joshua J. Coon; John E. P. Syka; Dina L. Bai; Jeffrey Shabanowitz; Daniel J. Burke; Olga G. Troyanskaya; Donald F. Hunt

We present a strategy for the analysis of the yeast phosphoproteome that uses endo-Lys C as the proteolytic enzyme, immobilized metal affinity chromatography for phosphopeptide enrichment, a 90-min nanoflow-HPLC/electrospray-ionization MS/MS experiment for phosphopeptide fractionation and detection, gas phase ion/ion chemistry, electron transfer dissociation for peptide fragmentation, and the Open Mass Spectrometry Search Algorithm for phosphoprotein identification and assignment of phosphorylation sites. From a 30-μg (≈600 pmol) sample of total yeast protein, we identify 1,252 phosphorylation sites on 629 proteins. Identified phosphoproteins have expression levels that range from <50 to 1,200,000 copies per cell and are encoded by genes involved in a wide variety of cellular processes. We identify a consensus site that likely represents a motif for one or more uncharacterized kinases and show that yeast kinases, themselves, contain a disproportionately large number of phosphorylation sites. Detection of a pHis containing peptide from the yeast protein, Cdc10, suggests an unexpected role for histidine phosphorylation in septin biology. From diverse functional genomics data, we show that phosphoproteins have a higher number of interactions than an average protein and interact with each other more than with a random protein. They are also likely to be conserved across large evolutionary distances.


Nucleic Acids Research | 2010

The NCBI BioSystems database

Lewis Y. Geer; Renata C. Geer; Lianyi Han; Jane He; Siqian He; Chunlei Liu; Wenyao Shi; Stephen H. Bryant

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 resources. This integration allows users of NCBI’s Entrez databases to quickly categorize proteins, genes and small molecules by metabolic pathway, disease state or other BioSystem type, without requiring time-consuming inference of biological relationships from the literature or multiple experimental datasets.


Nucleic Acids Research | 2017

CDD/SPARCLE: functional classification of proteins via subfamily domain architectures

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

NCBIs 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 is maintained for proteins tracked by NCBIs Entrez database, and live search services are offered as well. CDD curation staff supplements a comprehensive collection of protein domain and protein family models, which have been imported from external providers, with representations of selected domain families that are curated in-house and organized into hierarchical classifications of functionally distinct families and sub-families. CDD also supports comparative analyses of protein families via conserved domain architectures, and a recent curation effort focuses on providing functional characterizations of distinct subfamily architectures using SPARCLE: Subfamily Protein Architecture Labeling Engine. CDD can be accessed at https://www.ncbi.nlm.nih.gov/Structure/cdd/cdd.shtml.


Nucleic Acids Research | 1999

MMDB: Entrez's 3D-structure database

Yanli Wang; John B. Anderson; Jie Chen; Lewis Y. Geer; Siqian He; David I. Hurwitz; Cynthia A. Liebert; Thomas Madej; Gabriele H. Marchler; Anna R. Panchenko; Benjamin A. Shoemaker; James S. Song; Paul A. Thiessen; Roxanne A. Yamashita; Stephen H. Bryant

Three-dimensional structures are now known within many protein families and it is quite likely, in searching a sequence database, that one will encounter a homolog with known structure. The goal of Entrezs 3D-structure database is to make this information, and the functional annotation it can provide, easily accessible to molecular biologists. To this end Entrezs search engine provides three powerful features. (i) Sequence and structure neighbors; one may select all sequences similar to one of interest, for example, and link to any known 3D structures. (ii) Links between databases; one may search by term matching in MEDLINE, for example, and link to 3D structures reported in these articles. (iii) Sequence and structure visualization; identifying a homolog with known structure, one may view molecular-graphic and alignment displays, to infer approximate 3D structure. In this article we focus on two features of Entrezs Molecular Modeling Database (MMDB) not described previously: links from individual biopolymer chains within 3D structures to a systematic taxonomy of organisms represented in molecular databases, and links from individual chains (and compact 3D domains within them) to structure neighbors, other chains (and 3D domains) with similar 3D structure. MMDB may be accessed at http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=Structure.


Trends in Biochemical Sciences | 2000

Cn3D: sequence and structure views for Entrez.

Yanli Wang; Lewis Y. Geer; Colombe Chappey; Jonathan A. Kans; Stephen H. Bryant

We thank the NCBI structure group for their work in testing Cn3D versions 2.0 and 2.5. We also thank Patrick Durand, Jim Ostell, Tatiana Tatusova, Denis Vakatov, David Wheeler and the NCBI software group for useful criticism and help with the software toolkit. We thank the NIH Intramural Research Program for support.

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Stephen H. Bryant

National Institutes of Health

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Gabriele H. Marchler

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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Marc Gwadz

National Institutes of Health

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David I. Hurwitz

National Institutes of Health

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Farideh Chitsaz

National Institutes of Health

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Myra K. Derbyshire

National Institutes of Health

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Narmada Thanki

National Institutes of Health

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