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  • Articles  (9)
  • Algorithms
  • 1
    Publication Date: 2002-09-28
    Description: Molecular genetic studies of Drosophila melanogaster have led to profound advances in understanding the regulation of development. Here we report gene expression patterns for nearly one-third of all Drosophila genes during a complete time course of development. Mutations that eliminate eye or germline tissue were used to further analyze tissue-specific gene expression programs. These studies define major characteristics of the transcriptional programs that underlie the life cycle, compare development in males and females, and show that large-scale gene expression data collected from whole animals can be used to identify genes expressed in particular tissues and organs or genes involved in specific biological and biochemical processes.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Arbeitman, Michelle N -- Furlong, Eileen E M -- Imam, Farhad -- Johnson, Eric -- Null, Brian H -- Baker, Bruce S -- Krasnow, Mark A -- Scott, Matthew P -- Davis, Ronald W -- White, Kevin P -- Howard Hughes Medical Institute/ -- New York, N.Y. -- Science. 2002 Sep 27;297(5590):2270-5.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Biological Sciences, Stanford University, Stanford, CA 94305, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/12351791" target="_blank"〉PubMed〈/a〉
    Keywords: Algorithms ; Animals ; Cluster Analysis ; Drosophila Proteins/genetics/physiology ; Drosophila melanogaster/embryology/*genetics/*growth & development ; Embryo, Nonmammalian/physiology ; Female ; *Gene Expression ; Gene Expression Profiling ; Gene Expression Regulation, Developmental ; *Genes, Insect ; Germ Cells/physiology ; Larva/genetics ; Life Cycle Stages/*genetics ; Male ; Oligonucleotide Array Sequence Analysis ; Organ Specificity ; Pupa/genetics ; RNA, Messenger/genetics/metabolism ; Sex Characteristics ; Transcription, 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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  • 2
    Publication Date: 2010-08-06
    Description: People exert large amounts of problem-solving effort playing computer games. Simple image- and text-recognition tasks have been successfully 'crowd-sourced' through games, but it is not clear if more complex scientific problems can be solved with human-directed computing. Protein structure prediction is one such problem: locating the biologically relevant native conformation of a protein is a formidable computational challenge given the very large size of the search space. Here we describe Foldit, a multiplayer online game that engages non-scientists in solving hard prediction problems. Foldit players interact with protein structures using direct manipulation tools and user-friendly versions of algorithms from the Rosetta structure prediction methodology, while they compete and collaborate to optimize the computed energy. We show that top-ranked Foldit players excel at solving challenging structure refinement problems in which substantial backbone rearrangements are necessary to achieve the burial of hydrophobic residues. Players working collaboratively develop a rich assortment of new strategies and algorithms; unlike computational approaches, they explore not only the conformational space but also the space of possible search strategies. The integration of human visual problem-solving and strategy development capabilities with traditional computational algorithms through interactive multiplayer games is a powerful new approach to solving computationally-limited scientific problems.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2956414/" 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/PMC2956414/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Cooper, Seth -- Khatib, Firas -- Treuille, Adrien -- Barbero, Janos -- Lee, Jeehyung -- Beenen, Michael -- Leaver-Fay, Andrew -- Baker, David -- Popovic, Zoran -- Players, Foldit -- Howard Hughes Medical Institute/ -- England -- Nature. 2010 Aug 5;466(7307):756-60. doi: 10.1038/nature09304.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Computer Science and Engineering, University of Washington, Box 352350, Seattle, Washington 98195, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/20686574" target="_blank"〉PubMed〈/a〉
    Keywords: Algorithms ; Computational Biology/*methods ; Computer Graphics ; Computer Simulation ; Cooperative Behavior ; Cues ; *Games, Experimental ; *Group Processes ; Humans ; Hydrogen Bonding ; Hydrophobic and Hydrophilic Interactions ; Imaging, Three-Dimensional ; *Internet ; Leisure Activities ; Models, Molecular ; Nuclear Magnetic Resonance, Biomolecular ; Photic Stimulation ; *Problem Solving ; Protein Conformation ; *Protein Folding ; Proteins/*chemistry/metabolism ; Stochastic Processes ; Thermodynamics
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 3
    Publication Date: 2008-03-21
    Description: The design of new enzymes for reactions not catalysed by naturally occurring biocatalysts is a challenge for protein engineering and is a critical test of our understanding of enzyme catalysis. Here we describe the computational design of eight enzymes that use two different catalytic motifs to catalyse the Kemp elimination-a model reaction for proton transfer from carbon-with measured rate enhancements of up to 10(5) and multiple turnovers. Mutational analysis confirms that catalysis depends on the computationally designed active sites, and a high-resolution crystal structure suggests that the designs have close to atomic accuracy. Application of in vitro evolution to enhance the computational designs produced a 〉200-fold increase in k(cat)/K(m) (k(cat)/K(m) of 2,600 M(-1)s(-1) and k(cat)/k(uncat) of 〉10(6)). These results demonstrate the power of combining computational protein design with directed evolution for creating new enzymes, and we anticipate the creation of a wide range of useful new catalysts in the future.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Rothlisberger, Daniela -- Khersonsky, Olga -- Wollacott, Andrew M -- Jiang, Lin -- DeChancie, Jason -- Betker, Jamie -- Gallaher, Jasmine L -- Althoff, Eric A -- Zanghellini, Alexandre -- Dym, Orly -- Albeck, Shira -- Houk, Kendall N -- Tawfik, Dan S -- Baker, David -- Howard Hughes Medical Institute/ -- England -- Nature. 2008 May 8;453(7192):190-5. doi: 10.1038/nature06879. Epub 2008 Mar 19.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Biochemistry, University of Washington, Seattle, Washington 98195, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/18354394" target="_blank"〉PubMed〈/a〉
    Keywords: Algorithms ; Amino Acid Motifs ; Binding Sites/genetics ; Catalysis ; Computational Biology ; *Computer Simulation ; Crystallography, X-Ray ; Directed Molecular Evolution/*methods ; Drug Design ; Drug Evaluation, Preclinical ; Enzymes/*chemistry/genetics/*metabolism ; Kinetics ; Models, Chemical ; Models, Molecular ; Protein Engineering/*methods ; Quantum Theory ; Sensitivity and Specificity
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 4
    Publication Date: 2010-07-22
    Description: The Diels-Alder reaction is a cornerstone in organic synthesis, forming two carbon-carbon bonds and up to four new stereogenic centers in one step. No naturally occurring enzymes have been shown to catalyze bimolecular Diels-Alder reactions. We describe the de novo computational design and experimental characterization of enzymes catalyzing a bimolecular Diels-Alder reaction with high stereoselectivity and substrate specificity. X-ray crystallography confirms that the structure matches the design for the most active of the enzymes, and binding site substitutions reprogram the substrate specificity. Designed stereoselective catalysts for carbon-carbon bond-forming reactions should be broadly useful in synthetic chemistry.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3241958/" 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/PMC3241958/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Siegel, Justin B -- Zanghellini, Alexandre -- Lovick, Helena M -- Kiss, Gert -- Lambert, Abigail R -- St Clair, Jennifer L -- Gallaher, Jasmine L -- Hilvert, Donald -- Gelb, Michael H -- Stoddard, Barry L -- Houk, Kendall N -- Michael, Forrest E -- Baker, David -- R01 GM075962/GM/NIGMS NIH HHS/ -- T32 GM008268/GM/NIGMS NIH HHS/ -- T32 GM008268-24/GM/NIGMS NIH HHS/ -- Howard Hughes Medical Institute/ -- New York, N.Y. -- Science. 2010 Jul 16;329(5989):309-13. doi: 10.1126/science.1190239.〈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/20647463" target="_blank"〉PubMed〈/a〉
    Keywords: Acrylamides/chemistry ; Algorithms ; Butadienes/chemistry ; Carbon/*chemistry ; Catalysis ; Catalytic Domain ; Computer Simulation ; *Computer-Aided Design ; Crystallography, X-Ray ; Enzymes/*chemistry/genetics ; Hydrogen Bonding ; Hydrophobic and Hydrophilic Interactions ; Kinetics ; Models, Molecular ; Mutagenesis ; Physicochemical Processes ; Protein Conformation ; *Protein Engineering ; Proteins/*chemistry/genetics ; Software ; Stereoisomerism ; Substrate Specificity
    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: 2011-05-14
    Description: We describe a general computational method for designing proteins that bind a surface patch of interest on a target macromolecule. Favorable interactions between disembodied amino acid residues and the target surface are identified and used to anchor de novo designed interfaces. The method was used to design proteins that bind a conserved surface patch on the stem of the influenza hemagglutinin (HA) from the 1918 H1N1 pandemic virus. After affinity maturation, two of the designed proteins, HB36 and HB80, bind H1 and H5 HAs with low nanomolar affinity. Further, HB80 inhibits the HA fusogenic conformational changes induced at low pH. The crystal structure of HB36 in complex with 1918/H1 HA revealed that the actual binding interface is nearly identical to that in the computational design model. Such designed binding proteins may be useful for both diagnostics and therapeutics.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3164876/" 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/PMC3164876/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Fleishman, Sarel J -- Whitehead, Timothy A -- Ekiert, Damian C -- Dreyfus, Cyrille -- Corn, Jacob E -- Strauch, Eva-Maria -- Wilson, Ian A -- Baker, David -- AI057141/AI/NIAID NIH HHS/ -- AI058113/AI/NIAID NIH HHS/ -- GM080209/GM/NIGMS NIH HHS/ -- P01 AI058113/AI/NIAID NIH HHS/ -- P01 AI058113-07/AI/NIAID NIH HHS/ -- Y1-CO-1020/CO/NCI NIH HHS/ -- Y1-GM-1104/GM/NIGMS NIH HHS/ -- Howard Hughes Medical Institute/ -- New York, N.Y. -- Science. 2011 May 13;332(6031):816-21. doi: 10.1126/science.1202617.〈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/21566186" target="_blank"〉PubMed〈/a〉
    Keywords: Algorithms ; Amino Acid Sequence ; Binding Sites ; Computational Biology ; *Computer Simulation ; Hemagglutinin Glycoproteins, Influenza Virus/chemistry/*metabolism ; Hydrogen Bonding ; Hydrogen-Ion Concentration ; Hydrophobic and Hydrophilic Interactions ; *Models, Molecular ; Molecular Sequence Data ; Mutation ; Peptide Library ; Protein Binding ; Protein Conformation ; *Protein Engineering ; Protein Interaction Domains and Motifs ; Protein Structure, Secondary ; Proteins/*chemistry/genetics/*metabolism ; Software
    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: 2011-10-25
    Description: The manipulation of protein backbone structure to control interaction and function is a challenge for protein engineering. We integrated computational design with experimental selection for grafting the backbone and side chains of a two-segment HIV gp120 epitope, targeted by the cross-neutralizing antibody b12, onto an unrelated scaffold protein. The final scaffolds bound b12 with high specificity and with affinity similar to that of gp120, and crystallographic analysis of a scaffold bound to b12 revealed high structural mimicry of the gp120-b12 complex structure. The method can be generalized to design other functional proteins through backbone grafting.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Azoitei, Mihai L -- Correia, Bruno E -- Ban, Yih-En Andrew -- Carrico, Chris -- Kalyuzhniy, Oleksandr -- Chen, Lei -- Schroeter, Alexandria -- Huang, Po-Ssu -- McLellan, Jason S -- Kwong, Peter D -- Baker, David -- Strong, Roland K -- Schief, William R -- Howard Hughes Medical Institute/ -- New York, N.Y. -- Science. 2011 Oct 21;334(6054):373-6. doi: 10.1126/science.1209368.〈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/22021856" target="_blank"〉PubMed〈/a〉
    Keywords: Algorithms ; Amino Acid Motifs ; Amino Acid Sequence ; Antibodies, Monoclonal/chemistry/immunology/metabolism ; Antibodies, Neutralizing/*chemistry/*immunology/metabolism ; Antibody Affinity ; Antibody Specificity ; Antigens, CD4/metabolism ; Computational Biology ; Computer Simulation ; Crystallography, X-Ray ; Epitopes/immunology ; HIV Antibodies/chemistry/*immunology/metabolism ; HIV Envelope Protein gp120/*chemistry/*immunology/metabolism ; Models, Molecular ; Molecular Mimicry ; Molecular Sequence Data ; Mutagenesis ; Protein Conformation ; *Protein Engineering ; Protein Interaction Domains and Motifs ; Surface Plasmon Resonance
    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: 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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  • 8
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    Nature Publishing Group (NPG)
    Publication Date: 2015-04-11
    Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Baker, Monya -- England -- Nature. 2015 Apr 9;520(7546):253-5.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25859590" target="_blank"〉PubMed〈/a〉
    Keywords: Algorithms ; *Career Mobility ; Datasets as Topic ; Industry/*manpower ; Information Management/education/*manpower ; *Research Personnel/education ; *Software
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 9
    Publication Date: 2012-02-10
    Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Baker, Monya -- England -- Nature. 2012 Feb 8;482(7384):257, 259-62. doi: 10.1038/482257a.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/22318607" target="_blank"〉PubMed〈/a〉
    Keywords: Algorithms ; Gene Expression Profiling ; Genetic Variation/*genetics ; *Genetics, Medical ; Genome, Human/*genetics ; *Genomics ; Humans ; Models, Genetic ; Mutation/*genetics ; Sequence Alignment
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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