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  • 1
    Publication Date: 2015-12-18
    Description: Tandem repeat proteins, which are formed by repetition of modular units of protein sequence and structure, play important biological roles as macromolecular binding and scaffolding domains, enzymes, and building blocks for the assembly of fibrous materials. The modular nature of repeat proteins enables the rapid construction and diversification of extended binding surfaces by duplication and recombination of simple building blocks. The overall architecture of tandem repeat protein structures--which is dictated by the internal geometry and local packing of the repeat building blocks--is highly diverse, ranging from extended, super-helical folds that bind peptide, DNA, and RNA partners, to closed and compact conformations with internal cavities suitable for small molecule binding and catalysis. Here we report the development and validation of computational methods for de novo design of tandem repeat protein architectures driven purely by geometric criteria defining the inter-repeat geometry, without reference to the sequences and structures of existing repeat protein families. We have applied these methods to design a series of closed alpha-solenoid repeat structures (alpha-toroids) in which the inter-repeat packing geometry is constrained so as to juxtapose the amino (N) and carboxy (C) termini; several of these designed structures have been validated by X-ray crystallography. Unlike previous approaches to tandem repeat protein engineering, our design procedure does not rely on template sequence or structural information taken from natural repeat proteins and hence can produce structures unlike those seen in nature. As an example, we have successfully designed and validated closed alpha-solenoid repeats with a left-handed helical architecture that--to our knowledge--is not yet present in the protein structure database.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4727831/" 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/PMC4727831/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Doyle, Lindsey -- Hallinan, Jazmine -- Bolduc, Jill -- Parmeggiani, Fabio -- Baker, David -- Stoddard, Barry L -- Bradley, Philip -- R01 GM049857/GM/NIGMS NIH HHS/ -- R01 GM115545/GM/NIGMS NIH HHS/ -- R01GM49857/GM/NIGMS NIH HHS/ -- R21 GM106117/GM/NIGMS NIH HHS/ -- R21GM106117/GM/NIGMS NIH HHS/ -- Howard Hughes Medical Institute/ -- England -- Nature. 2015 Dec 24;528(7583):585-8. doi: 10.1038/nature16191. Epub 2015 Dec 16.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Division of Basic Sciences, Fred Hutchinson Cancer Research Center, 1100 Fairview Avenue N., Seattle, Washington 98109, USA. ; Department of Biochemistry, University of Washington, Seattle, Washington 98195, USA. ; Institute for Protein Design, University of Washington, Seattle, Washington 98195, USA. ; Howard Hughes Medical Institute, University of Washington, Seattle, Washington 98195, USA. ; Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, 1100 Fairview Avenue N., Seattle, Washington 98019, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26675735" target="_blank"〉PubMed〈/a〉
    Keywords: *Amino Acid Motifs ; *Bioengineering ; *Computer Simulation ; Crystallography, X-Ray ; Databases, Protein ; Models, Molecular ; *Protein Structure, Secondary ; Proteins/*chemistry ; Reproducibility of Results
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 2
    Publication Date: 2005-09-06
    Description: Antisense transcription (transcription from the opposite strand to a protein-coding or sense strand) has been ascribed roles in gene regulation involving degradation of the corresponding sense transcripts (RNA interference), as well as gene silencing at the chromatin level. Global transcriptome analysis provides evidence that a large proportion of the genome can produce transcripts from both strands, and that antisense transcripts commonly link neighboring "genes" in complex loci into chains of linked transcriptional units. Expression profiling reveals frequent concordant regulation of sense/antisense pairs. We present experimental evidence that perturbation of an antisense RNA can alter the expression of sense messenger RNAs, suggesting that antisense transcription contributes to control of transcriptional outputs in mammals.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Katayama, S -- Tomaru, Y -- Kasukawa, T -- Waki, K -- Nakanishi, M -- Nakamura, M -- Nishida, H -- Yap, C C -- Suzuki, M -- Kawai, J -- Suzuki, H -- Carninci, P -- Hayashizaki, Y -- Wells, C -- Frith, M -- Ravasi, T -- Pang, K C -- Hallinan, J -- Mattick, J -- Hume, D A -- Lipovich, L -- Batalov, S -- Engstrom, P G -- Mizuno, Y -- Faghihi, M A -- Sandelin, A -- Chalk, A M -- Mottagui-Tabar, S -- Liang, Z -- Lenhard, B -- Wahlestedt, C -- RIKEN Genome Exploration Research Group -- Genome Science Group (Genome Network Project Core Group) -- FANTOM Consortium -- New York, N.Y. -- Science. 2005 Sep 2;309(5740):1564-6.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Laboratory for Genome Exploration Research Group, RIKEN Genomic Sciences Centre (GSC), RIKEN Yokohama Institute, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama, 230-0045, Japan.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/16141073" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Gene Expression Regulation ; *Genome ; Humans ; Mice/*genetics ; RNA Interference ; RNA, Antisense/*biosynthesis ; RNA, Messenger/biosynthesis ; *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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  • 3
    Publication Date: 2012-05-22
    Description: Motivation: Biological experiments give insight into networks of processes inside a cell, but are subject to error and uncertainty. However, due to the overlap between the large number of experiments reported in public databases it is possible to assess the chances of individual observations being correct. In order to do so, existing methods rely on high-quality ‘gold standard’ reference networks, but such reference networks are not always available. Results: We present a novel algorithm for computing the probability of network interactions that operates without gold standard reference data. We show that our algorithm outperforms existing gold standard-based methods. Finally, we apply the new algorithm to a large collection of genetic interaction and protein–protein interaction experiments. Availability: The integrated dataset and a reference implementation of the algorithm as a plug-in for the Ondex data integration framework are available for download at http://bio-nexus.ncl.ac.uk/projects/nogold/ Contact: darren.wilkinson@ncl.ac.uk Supplementary information: Supplementary data are available at Bioinformatics online.
    Print ISSN: 1367-4803
    Electronic ISSN: 1460-2059
    Topics: Biology , Computer Science , Medicine
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  • 4
    Publication Date: 2010-02-16
    Print ISSN: 1367-4803
    Electronic ISSN: 1460-2059
    Topics: Biology , Computer Science , Medicine
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  • 5
    Publication Date: 2011-02-04
    Print ISSN: 1367-4803
    Electronic ISSN: 1460-2059
    Topics: Biology , Computer Science , Medicine
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  • 6
    Publication Date: 2005-09-02
    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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