Institution
National Institutes of Health
Government•Bethesda, 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 published on a yearly basis
Papers
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University of Rochester1, University of Washington2, University of Pennsylvania3, Johns Hopkins University4, Harvard University5, Yale University6, Ludwig Maximilian University of Munich7, AstraZeneca8, University of Queensland9, Tufts University10, Merck & Co.11, National Institutes of Health12, Endo International plc13, Food and Drug Administration14, University of Toronto15, Purdue Pharma16
2,441 citations
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TL;DR: The work unifies several previously proposed ideas concerning the mechanism protein folding and delimits the regions of validity of these ideas under different thermodynamic conditions.
Abstract: The understanding, and even the description of protein folding is impeded by the complexity of the process. Much of this complexity can be described and understood by taking a statistical approach to the energetics of protein conformation, that is, to the energy landscape. The statistical energy landscape approach explains when and why unique behaviors, such as specific folding pathways, occur in some proteins and more generally explains the distinction between folding processes common to all sequences and those peculiar to individual sequences. This approach also gives new, quantitative insights into the interpretation of experiments and simulations of protein folding thermodynamics and kinetics. Specifically, the picture provides simple explanations for folding as a two-state first-order phase transition, for the origin of metastable collapsed unfolded states and for the curved Arrhenius plots observed in both laboratory experiments and discrete lattice simulations. The relation of these quantitative ideas to folding pathways, to uniexponential vs. multiexponential behavior in protein folding experiments and to the effect of mutations on folding is also discussed. The success of energy landscape ideas in protein structure prediction is also described. The use of the energy landscape approach for analyzing data is illustrated with a quantitative analysis of some recent simulations, and a qualitative analysis of experiments on the folding of three proteins. The work unifies several previously proposed ideas concerning the mechanism protein folding and delimits the regions of validity of these ideas under different thermodynamic conditions. © 1995 Wiley-Liss, Inc.
2,437 citations
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TL;DR: The peak age of onset for many psychiatric disorders is adolescence, a time of remarkable physical and behavioural changes and answers to these questions might enable the understanding of mental health during adolescence.
Abstract: The peak age of onset for many psychiatric disorders is adolescence, a time of remarkable physical and behavioural changes. The processes in the brain that underlie these behavioural changes have been the subject of recent investigations. What do we know about the maturation of the human brain during adolescence? Do structural changes in the cerebral cortex reflect synaptic pruning? Are increases in white-matter volume driven by myelination? Is the adolescent brain more or less sensitive to reward? Finding answers to these questions might enable us to further our understanding of mental health during adolescence.
2,436 citations
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TL;DR: Celsus described four of the five cardinal signs of inflammation 2000 years ago, and Eustachio discovered the adrenal glands almost 500 years ago; but not until 1936 did Selye note that in rats exposed to stressors, the adrenAL glands were enlarged, and the thymus and lymph nodes shrunken.
Abstract: Celsus described four of the five cardinal signs of inflammation 2000 years ago, and Eustachio discovered the adrenal glands almost 500 years ago, but not until 1936 did Selye note that in rats exposed to stressors, the adrenal glands were enlarged, and the thymus and lymph nodes shrunken.1–3 Cortisone, the active principle of the adrenal glands, was isolated by Kendall and Reichstein in the late 1940s and shown to suppress immune organs. These scientists, along with Hench, received the Nobel Prize in Physiology and Medicine, after Hench and colleagues showed that cortisone could ameliorate rheumatoid arthritis.4,5 In recent . . .
2,432 citations
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Kerstin Lindblad-Toh1, Claire M. Wade2, Claire M. Wade1, Tarjei S. Mikkelsen1 +238 more•Institutions (11)
TL;DR: A high-quality draft genome sequence of the domestic dog is reported, together with a dense map of single nucleotide polymorphisms (SNPs) across breeds, to shed light on the structure and evolution of genomes and genes.
Abstract: Here we report a high-quality draft genome sequence of the domestic dog (Canis familiaris), together with a dense map of single nucleotide polymorphisms (SNPs) across breeds. The dog is of particular interest because it provides important evolutionary information and because existing breeds show great phenotypic diversity for morphological, physiological and behavioural traits. We use sequence comparison with the primate and rodent lineages to shed light on the structure and evolution of genomes and genes. Notably, the majority of the most highly conserved non-coding sequences in mammalian genomes are clustered near a small subset of genes with important roles in development. Analysis of SNPs reveals long-range haplotypes across the entire dog genome, and defines the nature of genetic diversity within and across breeds. The current SNP map now makes it possible for genome-wide association studies to identify genes responsible for diseases and traits, with important consequences for human and companion animal health.
2,431 citations
Authors
Showing all 149386 results
Name | H-index | Papers | Citations |
---|---|---|---|
Walter C. Willett | 334 | 2399 | 413322 |
Eric S. Lander | 301 | 826 | 525976 |
Robert Langer | 281 | 2324 | 326306 |
Meir J. Stampfer | 277 | 1414 | 283776 |
JoAnn E. Manson | 270 | 1819 | 258509 |
Albert Hofman | 267 | 2530 | 321405 |
Frank B. Hu | 250 | 1675 | 253464 |
Paul M. Ridker | 233 | 1242 | 245097 |
Solomon H. Snyder | 232 | 1222 | 200444 |
Salim Yusuf | 231 | 1439 | 252912 |
Eugene Braunwald | 230 | 1711 | 264576 |
Ralph B. D'Agostino | 226 | 1287 | 229636 |
John Q. Trojanowski | 226 | 1467 | 213948 |
Steven A. Rosenberg | 218 | 1204 | 199262 |
Yi Chen | 217 | 4342 | 293080 |