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  • Computer Simulation  (6)
  • American Association for the Advancement of Science (AAAS)  (6)
  • Cambridge University Press
  • Springer Nature
  • 2005-2009  (3)
  • 2000-2004  (3)
  • 1965-1969
Collection
Keywords
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  • American Association for the Advancement of Science (AAAS)  (6)
  • Cambridge University Press
  • Springer Nature
Years
Year
  • 1
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    Air pollution. Three Asian nations launch joint study (2000)
    American Association for the Advancement of Science (AAAS)
    Details
    Publication Date: 2000-06-10
    Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Baker, M -- New York, N.Y. -- Science. 2000 May 26;288(5470):1317-9.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/10847837" target="_blank"〉PubMed〈/a〉
    Keywords: Acid Rain ; *Air Pollution/prevention & control ; China ; Computer Simulation ; Environmental Monitoring ; *International Cooperation ; Japan ; Korea ; Politics
    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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    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
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  • 3
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    De novo computational design of retro-aldol enzymes (2008)
    American Association for the Advancement of Science (AAAS)
    Details
    Publication Date: 2008-03-08
    Description: The creation of enzymes capable of catalyzing any desired chemical reaction is a grand challenge for computational protein design. Using new algorithms that rely on hashing techniques to construct active sites for multistep reactions, we designed retro-aldolases that use four different catalytic motifs to catalyze the breaking of a carbon-carbon bond in a nonnatural substrate. Of the 72 designs that were experimentally characterized, 32, spanning a range of protein folds, had detectable retro-aldolase activity. Designs that used an explicit water molecule to mediate proton shuffling were significantly more successful, with rate accelerations of up to four orders of magnitude and multiple turnovers, than those involving charged side-chain networks. The atomic accuracy of the design process was confirmed by the x-ray crystal structure of active designs embedded in two protein scaffolds, both of which were nearly superimposable on the design model.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3431203/" 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/PMC3431203/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Jiang, Lin -- Althoff, Eric A -- Clemente, Fernando R -- Doyle, Lindsey -- Rothlisberger, Daniela -- Zanghellini, Alexandre -- Gallaher, Jasmine L -- Betker, Jamie L -- Tanaka, Fujie -- Barbas, Carlos F 3rd -- Hilvert, Donald -- Houk, Kendall N -- Stoddard, Barry L -- Baker, David -- R01 CA097328/CA/NCI NIH HHS/ -- R01 GM049857/GM/NIGMS NIH HHS/ -- Howard Hughes Medical Institute/ -- New York, N.Y. -- Science. 2008 Mar 7;319(5868):1387-91. doi: 10.1126/science.1152692.〈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/18323453" target="_blank"〉PubMed〈/a〉
    Keywords: Aldehyde-Lyases/*chemistry/metabolism ; *Algorithms ; Binding Sites ; Catalysis ; Catalytic Domain ; Computer Simulation ; Crystallography, X-Ray ; Hydrogen Bonding ; Hydrophobic and Hydrophilic Interactions ; Kinetics ; Models, Molecular ; Protein Conformation ; Protein Engineering
    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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    Design of a novel globular protein fold with atomic-level accuracy (2003)
    American Association for the Advancement of Science (AAAS)
    Details
    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
    Published by American Association for the Advancement of Science (AAAS)
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  • 5
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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
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  • 6
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    Progress in modeling of protein structures and interactions (2005)
    American Association for the Advancement of Science (AAAS)
    Details
    Publication Date: 2005-10-29
    Description: The prediction of the structures and interactions of biological macromolecules at the atomic level and the design of new structures and interactions are critical tests of our understanding of the interatomic interactions that underlie molecular biology. Equally important, the capability to accurately predict and design macromolecular structures and interactions would streamline the interpretation of genome sequence information and allow the creation of macromolecules with new and useful functions. This review summarizes recent progress in modeling that suggests that we are entering an era in which high-resolution prediction and design will make increasingly important contributions to biology and medicine.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Schueler-Furman, Ora -- Wang, Chu -- Bradley, Phil -- Misura, Kira -- Baker, David -- New York, N.Y. -- Science. 2005 Oct 28;310(5748):638-42.〈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/16254179" target="_blank"〉PubMed〈/a〉
    Keywords: Computer Simulation ; Computing Methodologies ; *Models, Molecular ; *Protein Conformation
    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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