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Institution

National Institutes of Health

GovernmentBethesda, Maryland, United States
About: National Institutes of Health is a government organization based out in Bethesda, Maryland, United States. It is known for research contribution in the topics: Population & Gene. The organization has 149298 authors who have published 297896 publications receiving 21337431 citations. The organization is also known as: NIH & U.S. National Institutes of Health.
Topics: Population, Gene, Cancer, Receptor, Immune system


Papers
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Journal ArticleDOI
TL;DR: The Update Committee recommends that HER2 status (HER2 negative or positive) be determined in all patients with invasive breast cancer on the basis of one or more HER2 test results (negative, equivocal, or positive).
Abstract: Purpose To update the American Society of Clinical Oncology (ASCO)/College of American Pathologists (CAP) guideline recommendations for human epidermal growth factor receptor 2 (HER2) testing in breast cancer to improve the accuracy of HER2 testing and its utility as a predictive marker in invasive breast cancer.

2,934 citations

Journal ArticleDOI
TL;DR: 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.
Abstract: 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.

2,934 citations

Journal ArticleDOI
TL;DR: The public interface of BLAST at the NCBI website has recently been reengineered to improve usability and performance, and key new features include simplified search forms, improved navigation, and a list of recent BLAST results.
Abstract: Basic Local Alignment Search Tool (BLAST) is a sequence similarity search program. The public interface of BLAST, http://www.ncbi.nlm.nih.gov/ blast, at the NCBI website has recently been reengineered to improve usability and performance. Key new features include simplified search forms, improved navigation, a list of recent BLAST results, saved search strategies and a documentation directory. Here, we describe the BLAST web application’s new features, explain design decisions and outline plans for future improvement.

2,927 citations

Journal ArticleDOI
TL;DR: A signaling pathway initiated by eIF2alpha phosphorylation protects cells against metabolic consequences of ER oxidation by promoting the linked processes of amino acid sufficiency and resistance to oxidative stress.

2,920 citations


Authors

Showing all 149386 results

NameH-indexPapersCitations
Walter C. Willett3342399413322
Eric S. Lander301826525976
Robert Langer2812324326306
Meir J. Stampfer2771414283776
JoAnn E. Manson2701819258509
Albert Hofman2672530321405
Frank B. Hu2501675253464
Paul M. Ridker2331242245097
Solomon H. Snyder2321222200444
Salim Yusuf2311439252912
Eugene Braunwald2301711264576
Ralph B. D'Agostino2261287229636
John Q. Trojanowski2261467213948
Steven A. Rosenberg2181204199262
Yi Chen2174342293080
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202347
2022298
202112,291
202012,261
201911,464
201810,991