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  • Models, Biological  (68)
  • American Association for the Advancement of Science (AAAS)  (68)
  • American Geophysical Union
  • Cambridge University Press
  • 2005-2009  (68)
  • 1995-1999
  • 1990-1994
  • 1970-1974
  • 2006  (68)
Collection
Publisher
  • American Association for the Advancement of Science (AAAS)  (68)
  • American Geophysical Union
  • Cambridge University Press
Years
  • 2005-2009  (68)
  • 1995-1999
  • 1990-1994
  • 1970-1974
Year
  • 11
    Publication Date: 2006-02-25
    Description: Sibly et al. (Reports, 22 July 2005, p. 607) recently estimated the relationship between population size and growth rate for 1780 time series of various species. I explain why some aspects of their analysis are questionable and, therefore, why their results and estimation procedure should be used with care.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Ross, Joshua V -- New York, N.Y. -- Science. 2006 Feb 24;311(5764):1100; author reply 1100.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Mathematics, University of Queensland, St. Lucia, QLD 4072, Australia. jvr@maths.uq.edu.au〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/16497916" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; *Birds ; Conservation of Natural Resources ; Ecosystem ; *Fishes ; *Insects ; Logistic Models ; *Mammals ; Mathematics ; Models, Biological ; Population Density ; Population Dynamics ; Population Growth ; Regression Analysis
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 12
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    American Association for the Advancement of Science (AAAS)
    Publication Date: 2006-12-16
    Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Linden, Joel -- New York, N.Y. -- Science. 2006 Dec 15;314(5806):1689-90.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Medicine, University of Virginia, Charlottesville, VA 22908, USA. jlinden@virginia.edu〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/17170280" target="_blank"〉PubMed〈/a〉
    Keywords: Adenosine/metabolism ; Adenosine Monophosphate/metabolism ; Adenosine Triphosphate/*metabolism ; Animals ; Apyrase/pharmacology ; *Autocrine Communication ; Blood Platelets/metabolism ; Cell Membrane/metabolism ; *Chemotaxis, Leukocyte/drug effects ; Endothelial Cells/metabolism ; Mice ; Models, Biological ; N-Formylmethionine Leucyl-Phenylalanine ; Neutrophils/drug effects/*metabolism/physiology ; Receptor, Adenosine A3/metabolism ; Receptors, Purinergic/*metabolism ; Receptors, Purinergic P2/metabolism ; Receptors, Purinergic P2Y2 ; Respiratory Burst/drug effects ; Signal Transduction
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 13
    Publication Date: 2006-12-13
    Description: Mounting evidence has revealed pathological interactions between HIV and malaria in dually infected patients, but the public health implications of the interplay have remained unclear. A transient almost one-log elevation in HIV viral load occurs during febrile malaria episodes; in addition, susceptibility to malaria is enhanced in HIV-infected patients. A mathematical model applied to a setting in Kenya with an adult population of roughly 200,000 estimated that, since 1980, the disease interaction may have been responsible for 8,500 excess HIV infections and 980,000 excess malaria episodes. Co-infection might also have facilitated the geographic expansion of malaria in areas where HIV prevalence is high. Hence, transient and repeated increases in HIV viral load resulting from recurrent co-infection with malaria may be an important factor in promoting the spread of HIV in sub-Saharan Africa.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Abu-Raddad, Laith J -- Patnaik, Padmaja -- Kublin, James G -- P30 AI 27757/AI/NIAID NIH HHS/ -- New York, N.Y. -- Science. 2006 Dec 8;314(5805):1603-6.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Statistical Center for HIV/AIDS Research and Prevention, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA. laith@scharp.org〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/17158329" target="_blank"〉PubMed〈/a〉
    Keywords: Adult ; Africa South of the Sahara/epidemiology ; Antimalarials/therapeutic use ; Disease Susceptibility ; Endemic Diseases ; Female ; HIV Infections/*complications/*epidemiology/transmission/virology ; HIV-1/physiology ; Humans ; Kenya/epidemiology ; Malaria, Falciparum/*complications/drug therapy/*epidemiology/transmission ; Male ; Mathematics ; Models, Biological ; Prevalence ; Recurrence ; Sexual Behavior ; Viral Load ; Viremia ; Virus Replication
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 14
    Publication Date: 2006-03-11
    Description: A biosynthetic approach was developed to control and probe cooperativity in multiunit biomotor assemblies by linking molecular motors to artificial protein scaffolds. This approach provides precise control over spatial and elastic coupling between motors. Cooperative interactions between monomeric kinesin-1 motors attached to protein scaffolds enhance hydrolysis activity and microtubule gliding velocity. However, these interactions are not influenced by changes in the elastic properties of the scaffold, distinguishing multimotor transport from that powered by unorganized monomeric motors. These results highlight the role of supramolecular architecture in determining mechanisms of collective transport.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Diehl, Michael R -- Zhang, Kechun -- Lee, Heun Jin -- Tirrell, David A -- New York, N.Y. -- Science. 2006 Mar 10;311(5766):1468-71.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Division of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, CA 91125, USA. diehl@rice.edu〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/16527982" target="_blank"〉PubMed〈/a〉
    Keywords: Adenosine Triphosphatases/chemistry ; Amino Acid Sequence ; Elasticity ; Elastin/chemistry ; Hydrolysis ; Kinesin/chemistry ; Microtubules/physiology ; Models, Biological ; Molecular Motor Proteins/*physiology ; Molecular Sequence Data ; Protein Engineering ; Protein Structure, Tertiary ; Proteins/chemistry/*physiology ; Recombinant Proteins/chemistry ; Structure-Activity Relationship
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 15
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    American Association for the Advancement of Science (AAAS)
    Publication Date: 2006-02-25
    Description: Bacteria use diverse small molecules for extra- and intracellular signaling. They scan small-molecule mixtures to access information about both their extracellular environment and their intracellular physiological status, and based on this information, they continuously interpret their circumstances and react rapidly to changes. Bacteria must integrate extra- and intracellular signaling information to mount appropriate responses to changes in their environment. We review recent research into two fundamental bacterial small-molecule signaling pathways: extracellular quorum-sensing signaling and intracellular cyclic dinucleotide signaling. We suggest how these two pathways may converge to control complex processes including multicellularity, biofilm formation, and virulence. We also outline new questions that have arisen from recent studies in these fields.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2776824/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2776824/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Camilli, Andrew -- Bassler, Bonnie L -- R01 AI045746/AI/NIAID NIH HHS/ -- R01 AI045746-04/AI/NIAID NIH HHS/ -- Howard Hughes Medical Institute/ -- New York, N.Y. -- Science. 2006 Feb 24;311(5764):1113-6.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Howard Hughes Medical Institute, 136 Harrison Avenue, Boston, MA 02111-1817, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/16497924" target="_blank"〉PubMed〈/a〉
    Keywords: 4-Butyrolactone/*analogs & derivatives/metabolism ; *Bacterial Physiological Phenomena ; Bacterial Proteins/metabolism ; Biofilms/growth & development ; Cyclic GMP/*analogs & derivatives/metabolism ; Escherichia coli Proteins ; Gene Expression Regulation, Bacterial ; Genes, Bacterial ; Homoserine/*analogs & derivatives/metabolism ; Lactones/*metabolism ; Models, Biological ; Oligopeptides/metabolism ; Phosphoric Diester Hydrolases/metabolism ; Phosphorus-Oxygen Lyases/metabolism ; Purine Nucleotides/metabolism ; Quinolones/metabolism ; Second Messenger Systems ; *Signal Transduction ; Virulence/genetics
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 16
    Publication Date: 2006-09-23
    Description: Vandermeer and Perfecto (Reports, 17 February 2006, p. 1000) reported a general power law pattern in the distribution of a common agricultural pest. However, there is an exact analytical solution for the expected cluster distribution under the proposed null model of density-independent growth in a patchy landscape. Reanalysis of the data shows that the system is not in a critical state but confirms the importance of a mutualism.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Alonso, David -- Pascual, Mercedes -- New York, N.Y. -- Science. 2006 Sep 22;313(5794):1739; author reply 1739.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Ecology and Evolutionary Biology, University of Michigan, 830 North University Avenue, Ann Arbor, MI 48109-1048, USA. dalonso@umich.edu〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/16990534" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Ants/*physiology ; *Coffea ; *Ecosystem ; Hemiptera/*physiology ; Mathematics ; Models, Biological ; Population Density ; Population Growth ; Probability ; *Symbiosis
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 17
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    American Association for the Advancement of Science (AAAS)
    Publication Date: 2006-07-22
    Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Szathmary, Eors -- New York, N.Y. -- Science. 2006 Jul 21;313(5785):306-7.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Institute of Biology, Eotvos University Budapest, and Collegium Budapest (Institute for Advanced Study), 2 Szentharomsag utca, H-1014 Budapest, Hungary. szathmary@colbud.hu〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/16857926" target="_blank"〉PubMed〈/a〉
    Keywords: *Biological Evolution ; Chemical Phenomena ; Chemistry ; Computational Biology ; Cooperative Behavior ; Cultural Evolution ; Exobiology ; Humans ; Language ; Models, Biological ; Models, Theoretical ; Molecular Biology ; Origin of Life ; *Research ; Selection, Genetic
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 18
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    American Association for the Advancement of Science (AAAS)
    Publication Date: 2006-12-13
    Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Chen, Irene A -- New York, N.Y. -- Science. 2006 Dec 8;314(5805):1558-9.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Division of Health Sciences and Technology at Harvard Medical School and Massachusetts Institute of Technology, Boston, MA 02115, USA. ichen@post.harvard.edu〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/17158315" target="_blank"〉PubMed〈/a〉
    Keywords: Awards and Prizes ; *Biological Evolution ; *Cells ; Hydrogen-Ion Concentration ; Lipid Bilayers ; *Liposomes/chemistry ; Models, Biological ; *Origin of Life ; Osmotic Pressure ; *Rna ; RNA, Catalytic
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 19
    Publication Date: 2006-04-29
    Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉King, Anthony W -- Gunderson, Carla A -- Post, Wilfred M -- Weston, David J -- Wullschleger, Stan D -- New York, N.Y. -- Science. 2006 Apr 28;312(5773):536-7.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Environmental Sciences Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA. kingaw@ornl.gov〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/16645083" target="_blank"〉PubMed〈/a〉
    Keywords: *Acclimatization ; Atmosphere ; Carbon/*metabolism ; Carbon Dioxide/metabolism ; *Climate ; Computer Simulation ; Ecosystem ; Mathematics ; Models, Biological ; *Oxygen Consumption ; Plant Leaves/*metabolism ; Soil/analysis ; *Temperature
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 20
    Publication Date: 2006-02-04
    Description: Latimer et al. (Reports, 9 September 2005, p. 1722) used an approximate likelihood function to estimate parameters of Hubbell's neutral model of biodiversity. Reanalysis with the exact likelihood not only yields different estimates but also shows that two similar likelihood maxima for very different parameter combinations can occur. This reveals a limitation of using species abundance data to gain insight into speciation and dispersal.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Etienne, Rampal S -- Latimer, Andrew M -- Silander, John A Jr -- Cowling, Richard M -- New York, N.Y. -- Science. 2006 Feb 3;311(5761):610.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Community and Conservation Ecology Group, University of Groningen, Box 14, 9750 AA Haren, The Netherlands. r.s.etienne@rug.nl〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/16456064" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Bayes Theorem ; *Biodiversity ; *Ecology ; Ecosystem ; *Genetic Speciation ; Likelihood Functions ; Models, Biological ; *Plants/classification/genetics ; South Africa
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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