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Dive into the research topics where Shennan Lu is active.

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Featured researches published by Shennan Lu.


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 | 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.


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.


Nucleic Acids Research | 2017

InterPro in 2017—beyond protein family and domain annotations

Robert D. Finn; Teresa K. Attwood; Patricia C. Babbitt; Alex Bateman; Peer Bork; Alan Bridge; Hsin Yu Chang; Zsuzsanna Dosztányi; Sara El-Gebali; Matthew Fraser; Julian Gough; David R Haft; Gemma L. Holliday; Hongzhan Huang; Xiaosong Huang; Ivica Letunic; Rodrigo Lopez; Shennan Lu; Huaiyu Mi; Jaina Mistry; Darren A. Natale; Marco Necci; Gift Nuka; Christine A. Orengo; Youngmi Park; Sebastien Pesseat; Damiano Piovesan; Simon Potter; Neil D. Rawlings; Nicole Redaschi

InterPro (http://www.ebi.ac.uk/interpro/) is a freely available database used to classify protein sequences into families and to predict the presence of important domains and sites. InterProScan is the underlying software that allows both protein and nucleic acid sequences to be searched against InterPros predictive models, which are provided by its member databases. Here, we report recent developments with InterPro and its associated software, including the addition of two new databases (SFLD and CDD), and the functionality to include residue-level annotation and prediction of intrinsic disorder. These developments enrich the annotations provided by InterPro, increase the overall number of residues annotated and allow more specific functional inferences.


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 | 2007

MMDB: annotating protein sequences with Entrez's 3D-structure database

Yanli Wang; Kenneth J. Addess; Jie Chen; Lewis Y. Geer; Jane He; Siqian He; Shennan Lu; Thomas Madej; Paul A. Thiessen; Naigong Zhang; Stephen H. Bryant

Three-dimensional (3D) structure is now known for a large fraction of all protein families. Thus, it has become rather likely that one will find a homolog with known 3D structure when searching a sequence database with an arbitrary query sequence. Depending on the extent of similarity, such neighbor relationships may allow one to infer biological function and to identify functional sites such as binding motifs or catalytic centers. Entrezs 3D-structure database, the Molecular Modeling Database (MMDB), provides easy access to the richness of 3D structure data and its large potential for functional annotation. Entrezs search engine offers several tools to assist biologist users: (i) links between databases, such as between protein sequences and structures, (ii) pre-computed sequence and structure neighbors, (iii) visualization of structure and sequence/structure alignment. Here, we describe an annotation service that combines some of these tools automatically, Entrezs ‘Related Structure’ links. For all proteins in Entrez, similar sequences with known 3D structure are detected by BLAST and alignments are recorded. The ‘Related Structure’ service summarizes this information and presents 3D views mapping sequence residues onto all 3D structures available in MMDB ().


Nucleic Acids Research | 2012

MMDB: 3D structures and macromolecular interactions

Thomas Madej; Kenneth J. Addess; Jessica H. Fong; Lewis Y. Geer; Renata C. Geer; Christopher J. Lanczycki; Chunlei Liu; Shennan Lu; Anna R. Panchenko; Jie Chen; Paul A. Thiessen; Yanli Wang; Dachuan Zhang; Stephen H. Bryant

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 interest from considering 3D structure, and to this day 3D structure data may remain an underutilized resource. Here we present enhancements in the Molecular Modeling Database (MMDB) and its data presentation, specifically pertaining to biologically relevant complexes and molecular interactions. MMDB is tightly integrated with NCBIs Entrez search and retrieval system, and mirrors the contents of the Protein Data Bank. It links protein 3D structure data with sequence data, sequence classification resources and PubChem, a repository of small-molecule chemical structures and their biological activities, facilitating access to 3D structure data not only for structural biologists, but also for molecular biologists and chemists. MMDB provides a complete set of detailed and pre-computed structural alignments obtained with the VAST algorithm, and provides visualization tools for 3D structure and structure/sequence alignment via the molecular graphics viewer Cn3D. MMDB can be accessed at http://www.ncbi.nlm.nih.gov/structure.


Database | 2015

Improving the consistency of domain annotation within the Conserved Domain Database.

Myra K. Derbyshire; Noreen R. Gonzales; Shennan Lu; Jane He; Gabriele H. Marchler; Zhouxi Wang

When annotating protein sequences with the footprints of evolutionarily conserved domains, conservative score or E-value thresholds need to be applied for RPS-BLAST hits, to avoid many false positives. We notice that manual inspection and classification of hits gathered at a higher threshold can add a significant amount of valuable domain annotation. We report an automated algorithm that ‘rescues’ valuable borderline-scoring domain hits that are well-supported by domain architecture (DA, the sequential order of conserved domains in a protein query), including tandem repeats of domain hits reported at a more conservative threshold. This algorithm is now available as a selectable option on the public conserved domain search (CD-Search) pages. We also report on the possibility to ‘suppress’ domain hits close to the threshold based on a lack of well-supported DA and to implement this conservatively as an option in live conserved domain searches and for pre-computed results. Improving domain annotation consistency will in turn reduce the fraction of NR sequences with incomplete DAs. URL: http://www.ncbi.nlm.nih.gov/Structure/cdd/wrpsb.cgi

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Myra K. Derbyshire

National Institutes of Health

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Noreen R. Gonzales

National Institutes of Health

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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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Lewis Y. Geer

National Institutes of Health

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Dachuan Zhang

National Institutes of Health

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James S. Song

National Institutes of Health

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Marc Gwadz

National Institutes of Health

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Narmada Thanki

National Institutes of Health

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