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  • Astrophysics  (25)
  • Amino Acid Sequence  (14)
  • CC 4
  • 2005-2009  (28)
  • 2000-2004  (8)
  • 1995-1999  (6)
  • 1
    Publication Date: 2001
    Keywords: CC 4 ; Coordinating Committee ; Continental Drilling ; ICDP
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  • 2
    Publication Date: 2001
    Keywords: CC 4 ; Coordinating Committee ; Continental Drilling ; ICDP
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  • 3
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    In:  Science, pp. 67-68, vol. 296
    Publication Date: 2002
    Keywords: CC 4 ; Coordinating Committee ; Continental Drilling ; ICDP
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  • 4
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    American Association for the Advancement of Science (AAAS)
    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
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  • 5
    Publication Date: 1997-08-08
    Description: TRAIL (also called Apo2L) belongs to the tumor necrosis factor family, activates rapid apoptosis in tumor cells, and binds to the death-signaling receptor DR4. Two additional TRAIL receptors were identified. The receptor designated death receptor 5 (DR5) contained a cytoplasmic death domain and induced apoptosis much like DR4. The receptor designated decoy receptor 1 (DcR1) displayed properties of a glycophospholipid-anchored cell surface protein. DcR1 acted as a decoy receptor that inhibited TRAIL signaling. Thus, a cell surface mechanism exists for the regulation of cellular responsiveness to pro-apoptotic stimuli.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Sheridan, J P -- Marsters, S A -- Pitti, R M -- Gurney, A -- Skubatch, M -- Baldwin, D -- Ramakrishnan, L -- Gray, C L -- Baker, K -- Wood, W I -- Goddard, A D -- Godowski, P -- Ashkenazi, A -- New York, N.Y. -- Science. 1997 Aug 8;277(5327):818-21.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Molecular Oncology, Genentech, South San Francisco, CA 94080-4918, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/9242611" target="_blank"〉PubMed〈/a〉
    Keywords: Amino Acid Sequence ; *Apoptosis ; Apoptosis Regulatory Proteins ; Cell Membrane/metabolism ; Cells, Cultured ; GPI-Linked Proteins ; Glycosylphosphatidylinositols/metabolism ; HeLa Cells ; Humans ; Ligands ; Membrane Glycoproteins/*metabolism ; Molecular Sequence Data ; NF-kappa B/metabolism ; Receptors, TNF-Related Apoptosis-Inducing Ligand ; Receptors, Tumor Necrosis Factor/chemistry/genetics/*metabolism ; Signal Transduction ; TNF-Related Apoptosis-Inducing Ligand ; Transfection ; Tumor Cells, Cultured ; Tumor Necrosis Factor Decoy Receptors ; Tumor Necrosis Factor-alpha/*metabolism
    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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  • 6
    Publication Date: 2007-12-08
    Description: Many bacterial pathogens have long, slender pili through which they adhere to host cells. The crystal structure of the major pilin subunit from the Gram-positive human pathogen Streptococcus pyogenes at 2.2 angstroms resolution reveals an extended structure comprising two all-beta domains. The molecules associate in columns through the crystal, with each carboxyl terminus adjacent to a conserved lysine of the next molecule. This lysine forms the isopeptide bonds that link the subunits in native pili, validating the relevance of the crystal assembly. Each subunit contains two lysine-asparagine isopeptide bonds generated by an intramolecular reaction, and we find evidence for similar isopeptide bonds in other cell surface proteins of Gram-positive bacteria. The present structure explains the strength and stability of such Gram-positive pili and could facilitate vaccine development.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Kang, Hae Joo -- Coulibaly, Fasseli -- Clow, Fiona -- Proft, Thomas -- Baker, Edward N -- New York, N.Y. -- Science. 2007 Dec 7;318(5856):1625-8.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Maurice Wilkins Centre for Molecular Biodiscovery, University of Auckland, Auckland 1010, New Zealand.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/18063798" target="_blank"〉PubMed〈/a〉
    Keywords: Amino Acid Motifs ; Amino Acid Sequence ; Asparagine/chemistry ; Chemistry, Physical ; Crystallography, X-Ray ; Fimbriae Proteins/*chemistry ; Fimbriae, Bacterial/*chemistry/ultrastructure ; Hydrogen Bonding ; Lysine/chemistry ; Models, Molecular ; Molecular Sequence Data ; Peptides/chemistry ; Physicochemical Phenomena ; Protein Conformation ; Protein Structure, Tertiary ; Protein Subunits/chemistry ; Streptococcus pyogenes/*chemistry/metabolism/*ultrastructure
    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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  • 7
    Publication Date: 2008-03-29
    Description: Schizophrenia is a devastating neurodevelopmental disorder whose genetic influences remain elusive. We hypothesize that individually rare structural variants contribute to the illness. Microdeletions and microduplications 〉100 kilobases were identified by microarray comparative genomic hybridization of genomic DNA from 150 individuals with schizophrenia and 268 ancestry-matched controls. All variants were validated by high-resolution platforms. Novel deletions and duplications of genes were present in 5% of controls versus 15% of cases and 20% of young-onset cases, both highly significant differences. The association was independently replicated in patients with childhood-onset schizophrenia as compared with their parents. Mutations in cases disrupted genes disproportionately from signaling networks controlling neurodevelopment, including neuregulin and glutamate pathways. These results suggest that multiple, individually rare mutations altering genes in neurodevelopmental pathways contribute to schizophrenia.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Walsh, Tom -- McClellan, Jon M -- McCarthy, Shane E -- Addington, Anjene M -- Pierce, Sarah B -- Cooper, Greg M -- Nord, Alex S -- Kusenda, Mary -- Malhotra, Dheeraj -- Bhandari, Abhishek -- Stray, Sunday M -- Rippey, Caitlin F -- Roccanova, Patricia -- Makarov, Vlad -- Lakshmi, B -- Findling, Robert L -- Sikich, Linmarie -- Stromberg, Thomas -- Merriman, Barry -- Gogtay, Nitin -- Butler, Philip -- Eckstrand, Kristen -- Noory, Laila -- Gochman, Peter -- Long, Robert -- Chen, Zugen -- Davis, Sean -- Baker, Carl -- Eichler, Evan E -- Meltzer, Paul S -- Nelson, Stanley F -- Singleton, Andrew B -- Lee, Ming K -- Rapoport, Judith L -- King, Mary-Claire -- Sebat, Jonathan -- HD043569/HD/NICHD NIH HHS/ -- M01 RR000046/RR/NCRR NIH HHS/ -- MH061355/MH/NIMH NIH HHS/ -- MH061464/MH/NIMH NIH HHS/ -- MH061528/MH/NIMH NIH HHS/ -- NS052108/NS/NINDS NIH HHS/ -- R01 HD043569/HD/NICHD NIH HHS/ -- RR000046/RR/NCRR NIH HHS/ -- RR025014/RR/NCRR NIH HHS/ -- U01 MH061355/MH/NIMH NIH HHS/ -- U01 MH061464/MH/NIMH NIH HHS/ -- U01 MH061528/MH/NIMH NIH HHS/ -- U24 NS052108/NS/NINDS NIH HHS/ -- UL1 RR025014/RR/NCRR NIH HHS/ -- Howard Hughes Medical Institute/ -- Intramural NIH HHS/ -- New York, N.Y. -- Science. 2008 Apr 25;320(5875):539-43. doi: 10.1126/science.1155174. Epub 2008 Mar 27.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Medicine, University of Washington, Seattle, WA 98195, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/18369103" target="_blank"〉PubMed〈/a〉
    Keywords: Adolescent ; Adult ; Age of Onset ; Amino Acid Sequence ; Brain/cytology/*growth & development/metabolism ; Case-Control Studies ; Child ; Excitatory Amino Acid Transporter 1/chemistry/genetics/physiology ; Female ; *Gene Deletion ; *Gene Duplication ; Genetic Predisposition to Disease ; Genome, Human ; Humans ; Male ; Molecular Sequence Data ; *Mutation ; Neurons/cytology/physiology ; Oligonucleotide Array Sequence Analysis ; Polymorphism, Single Nucleotide ; Receptor, Epidermal Growth Factor/chemistry/genetics/physiology ; Receptor, ErbB-4 ; Schizophrenia/*genetics/physiopathology ; 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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  • 8
    Publication Date: 2003-11-25
    Description: A major challenge of computational protein design is the creation of novel proteins with arbitrarily chosen three-dimensional structures. Here, we used a general computational strategy that iterates between sequence design and structure prediction to design a 93-residue alpha/beta protein called Top7 with a novel sequence and topology. Top7 was found experimentally to be folded and extremely stable, and the x-ray crystal structure of Top7 is similar (root mean square deviation equals 1.2 angstroms) to the design model. The ability to design a new protein fold makes possible the exploration of the large regions of the protein universe not yet observed in nature.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Kuhlman, Brian -- Dantas, Gautam -- Ireton, Gregory C -- Varani, Gabriele -- Stoddard, Barry L -- Baker, David -- New York, N.Y. -- Science. 2003 Nov 21;302(5649):1364-8.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Biochemistry, University of Washington, Seattle, WA 98195, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/14631033" target="_blank"〉PubMed〈/a〉
    Keywords: Algorithms ; Amino Acid Sequence ; Circular Dichroism ; Computational Biology ; Computer Graphics ; Computer Simulation ; Crystallization ; Crystallography, X-Ray ; Databases, Protein ; Models, Molecular ; Molecular Sequence Data ; Monte Carlo Method ; Nuclear Magnetic Resonance, Biomolecular ; *Protein Conformation ; Protein Denaturation ; *Protein Engineering ; *Protein Folding ; Protein Structure, Secondary ; Proteins/*chemistry ; *Software ; Solubility ; Temperature ; Thermodynamics
    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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  • 9
    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
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  • 10
    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
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