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  • Protein Folding  (4)
  • American Association for the Advancement of Science (AAAS)  (4)
  • American Association of Petroleum Geologists (AAPG)
  • Cambridge University Press
  • Springer Nature
  • 2005-2009  (3)
  • 2000-2004  (1)
  • 1965-1969
Collection
Keywords
Publisher
  • American Association for the Advancement of Science (AAAS)  (4)
  • American Association of Petroleum Geologists (AAPG)
  • Cambridge University Press
  • Springer Nature
Years
  • 2005-2009  (3)
  • 2000-2004  (1)
  • 1965-1969
  • 2010-2014  (1)
Year
  • 1
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    Protein structure prediction and structural genomics (2001)
    American Association for the Advancement of Science (AAAS)
    Details
    Publication Date: 2001-10-06
    Description: Genome sequencing projects are producing linear amino acid sequences, but full understanding of the biological role of these proteins will require knowledge of their structure and function. Although experimental structure determination methods are providing high-resolution structure information about a subset of the proteins, computational structure prediction methods will provide valuable information for the large fraction of sequences whose structures will not be determined experimentally. The first class of protein structure prediction methods, including threading and comparative modeling, rely on detectable similarity spanning most of the modeled sequence and at least one known structure. The second class of methods, de novo or ab initio methods, predict the structure from sequence alone, without relying on similarity at the fold level between the modeled sequence and any of the known structures. In this Viewpoint, we begin by describing the essential features of the methods, the accuracy of the models, and their application to the prediction and understanding of protein function, both for single proteins and on the scale of whole genomes. We then discuss the important role that protein structure prediction methods play in the growing worldwide effort in structural genomics.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Baker, D -- Sali, A -- GM 54762/GM/NIGMS NIH HHS/ -- New York, N.Y. -- Science. 2001 Oct 5;294(5540):93-6.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Howard Hughes Medical Institute, University of Washington, Seattle, WA 98195, USA. dabaker@u.washington.edu.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/11588250" target="_blank"〉PubMed〈/a〉
    Keywords: Amino Acid Sequence ; Animals ; Binding Sites ; *Computational Biology ; Computer Simulation ; Databases, Factual ; *Genomics ; Humans ; Internet ; *Models, Molecular ; *Protein Conformation ; Protein Folding ; Protein Structure, Tertiary ; Proteins/*chemistry/genetics/physiology ; Sequence Alignment ; Software ; Templates, Genetic
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
    Published by American Association for the Advancement of Science (AAAS)
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  • 2
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    Toward high-resolution de novo structure prediction for small proteins (2005)
    American Association for the Advancement of Science (AAAS)
    Details
    Publication Date: 2005-09-17
    Description: The prediction of protein structure from amino acid sequence is a grand challenge of computational molecular biology. By using a combination of improved low- and high-resolution conformational sampling methods, improved atomically detailed potential functions that capture the jigsaw puzzle-like packing of protein cores, and high-performance computing, high-resolution structure prediction (〈1.5 angstroms) can be achieved for small protein domains (〈85 residues). The primary bottleneck to consistent high-resolution prediction appears to be conformational sampling.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Bradley, Philip -- Misura, Kira M S -- Baker, David -- New York, N.Y. -- Science. 2005 Sep 16;309(5742):1868-71.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉University of Washington, Department of Biochemistry, and Howard Hughes Medical Institute, Box 357350, Seattle, WA 98195, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/16166519" target="_blank"〉PubMed〈/a〉
    Keywords: Amino Acid Sequence ; Chemistry, Physical ; *Computational Biology ; Computer Simulation ; Hydrogen Bonding ; Models, Molecular ; Monte Carlo Method ; Physicochemical Phenomena ; *Protein Conformation ; Protein Folding ; Protein Structure, Secondary ; Protein Structure, Tertiary ; Proteins/*chemistry ; Sequence Alignment ; Thermodynamics
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
    Published by American Association for the Advancement of Science (AAAS)
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  • 3
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    Computational thermostabilization of an enzyme (2005)
    American Association for the Advancement of Science (AAAS)
    Details
    Publication Date: 2005-05-10
    Description: Thermostabilizing an enzyme while maintaining its activity for industrial or biomedical applications can be difficult with traditional selection methods. We describe a rapid computational approach that identified three mutations within a model enzyme that produced a 10 degrees C increase in apparent melting temperature T(m) and a 30-fold increase in half-life at 50 degrees C, with no reduction in catalytic efficiency. The effects of the mutations were synergistic, giving an increase in excess of the sum of their individual effects. The redesigned enzyme induced an increased, temperature-dependent bacterial growth rate under conditions that required its activity, thereby coupling molecular and metabolic engineering.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3412875/" 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/PMC3412875/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Korkegian, Aaron -- Black, Margaret E -- Baker, David -- Stoddard, Barry L -- CA85939/CA/NCI NIH HHS/ -- CA97328/CA/NCI NIH HHS/ -- GM49857/GM/NIGMS NIH HHS/ -- GM59224/GM/NIGMS NIH HHS/ -- R01 CA097328/CA/NCI NIH HHS/ -- R01 GM049857/GM/NIGMS NIH HHS/ -- T32-GM08268/GM/NIGMS NIH HHS/ -- New York, N.Y. -- Science. 2005 May 6;308(5723):857-60.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Division of Basic Sciences, Fred Hutchinson Cancer Research Center (FHCRC), 1100 Fairview Avenue North, Seattle, WA 98109, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/15879217" target="_blank"〉PubMed〈/a〉
    Keywords: Amino Acid Sequence ; Binding Sites ; Catalysis ; Circular Dichroism ; *Computer Simulation ; Crystallography, X-Ray ; Cytosine Deaminase/*chemistry/*metabolism ; Enzyme Stability ; Escherichia coli/genetics/metabolism ; Kinetics ; Models, Molecular ; Molecular Sequence Data ; Monte Carlo Method ; Mutagenesis, Site-Directed ; Point Mutation ; Protein Conformation ; Protein Denaturation ; *Protein Engineering ; Protein Folding ; Protein Structure, Secondary ; Software ; Temperature ; Thermodynamics ; Transformation, Genetic ; Yeasts/enzymology
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
    Published by American Association for the Advancement of Science (AAAS)
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  • 4
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    Community proteomics of a natural microbial biofilm (2005)
    American Association for the Advancement of Science (AAAS)
    Details
    Publication Date: 2005-05-10
    Description: Using genomic and mass spectrometry-based proteomic methods, we evaluated gene expression, identified key activities, and examined partitioning of metabolic functions in a natural acid mine drainage (AMD) microbial biofilm community. We detected 2033 proteins from the five most abundant species in the biofilm, including 48% of the predicted proteins from the dominant biofilm organism, Leptospirillum group II. Proteins involved in protein refolding and response to oxidative stress appeared to be highly expressed, which suggests that damage to biomolecules is a key challenge for survival. We validated and estimated the relative abundance and cellular localization of 357 unique and 215 conserved novel proteins and determined that one abundant novel protein is a cytochrome central to iron oxidation and AMD formation.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Ram, Rachna J -- Verberkmoes, Nathan C -- Thelen, Michael P -- Tyson, Gene W -- Baker, Brett J -- Blake, Robert C 2nd -- Shah, Manesh -- Hettich, Robert L -- Banfield, Jillian F -- New York, N.Y. -- Science. 2005 Jun 24;308(5730):1915-20. Epub 2005 May 5.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Environmental Science, Policy, and Management, University of California at Berkeley, Berkeley, CA 94720, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/15879173" target="_blank"〉PubMed〈/a〉
    Keywords: Amino Acids/metabolism ; Archaeal Proteins/*analysis/chemistry ; Bacteria/chemistry/genetics/*metabolism ; Bacterial Proteins/*analysis/chemistry/genetics/physiology ; *Biofilms/growth & development ; Cytochromes/analysis/chemistry ; *Ecosystem ; Gene Expression ; Genes, Archaeal ; Genes, Bacterial ; Genome, Archaeal ; Genome, Bacterial ; Genomics ; Hydrogen-Ion Concentration ; Iron/metabolism ; Isoelectric Point ; Mass Spectrometry ; *Mining ; Molecular Sequence Data ; Oxidation-Reduction ; Protein Biosynthesis ; Protein Folding ; Proteome ; *Proteomics ; Thermoplasmales/chemistry/genetics/*metabolism
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
    Published by American Association for the Advancement of Science (AAAS)
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