000 | 06497nam a2200769 i 4500 | ||
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001 | 6949409 | ||
003 | IEEE | ||
005 | 20200413152915.0 | ||
006 | m eo d | ||
007 | cr cn |||m|||a | ||
008 | 141120s2015 caua foab 000 0 eng d | ||
020 |
_a9781627054515 _qebook |
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020 |
_z9781627054508 _qprint |
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024 | 7 |
_a10.2200/S00600ED1V01Y201409WEB009 _2doi |
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035 | _a(CaBNVSL)swl00404343 | ||
035 | _a(OCoLC)896434163 | ||
040 |
_aCaBNVSL _beng _erda _cCaBNVSL _dCaBNVSL |
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050 | 4 |
_aRM301.25 _b.C447 2015 |
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060 | 4 |
_aQV 744 _bC447s 2015 |
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082 | 0 | 4 |
_a615.19 _223 |
090 |
_a _bMoCl _e10.2200/S00600ED1V01Y201409WEB009 |
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100 | 1 |
_aChen, Bin, _d1983-, _eauthor. |
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245 | 1 | 0 |
_aSemantic breakthrough in drug discovery / _cBin Chen, Huijun Wang, Ying Ding, David Wild. |
264 | 1 |
_aSan Rafael, California (1537 Fourth Street, San Rafael, CA 94901 USA) : _bMorgan & Claypool, _c2015. |
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300 |
_a1 PDF (ix, 132 pages) : _billustrations. |
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336 |
_atext _2rdacontent |
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337 |
_aelectronic _2isbdmedia |
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338 |
_aonline resource _2rdacarrier |
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490 | 1 |
_aSynthesis lectures on the semantic web, theory and technology, _x2160-472X ; _v# 9 |
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538 | _aMode of access: World Wide Web. | ||
538 | _aSystem requirements: Adobe Acrobat Reader. | ||
500 | _aPart of: Synthesis digital library of engineering and computer science. | ||
504 | _aIncludes bibliographical references (pages 113-129). | ||
505 | 0 | _a1. Introduction -- 1.1 Background -- 1.2 Data representation in the Semantic Web -- 1.3 Data query, management, and integration -- 1.4 Knowledge discovery in semantically integrated datasets -- 1.5 Chem2Bio2RDF -- | |
505 | 8 | _a2. Data representation and integration using RDF -- 2.1 Background -- 2.2 Methods -- 2.3 Discussion -- 2.4 Conclusion -- | |
505 | 8 | _a3. Data representation and integration using OWL -- 3.1 Introduction -- 3.2 System and methods -- 3.3 Implementation -- 3.4 Use cases -- 3.5 Discussion -- 3.6 Conclusion -- | |
505 | 8 | _a4. Finding complex biological relationships in PubMed articles using Bio-LDA -- 4.1 Introduction -- 4.2 Materials and methods -- 4.2.1 Databases -- 4.2.2 Bio-LDA -- 4.3 Experimental results -- 4.3.1 Analyzing the Bio-LDA model results -- 4.3.2 Comparing the Bio-LDA and LDA models -- 4.3.3 Identification of bio-term relationships within topics -- 4.3.4 Discovery of bio-term associations -- 4.4 Application tools -- 4.4.1 Literature Association Score Calculator (LASC) -- 4.4.2 Associated Bio-Terms Finder (ABTF) -- 4.5 Conclusion -- | |
505 | 8 | _a5. Integrated semantic approach for systems chemical biology knowledge discovery -- 5.1 Introduction -- 5.2 Datasets -- 5.3 Methods -- 5.3.1 Association prediction -- 5.3.2 Association search -- 5.3.3 Association exploration -- 5.3.4 Connectivity-map generation -- 5.3.5 Chem2Bio2RDF extension -- 5.4 Application tools -- 5.4.1 Association predictor -- 5.4.2 Association searcher -- 5.4.3 Association explorer -- 5.5 Use cases -- 5.5.1 Identifying potential drugs for a target -- 5.5.2 Investigating drug polypharmacology using association search -- 5.5.3 Building a disease-specific drug-protein connectivity map -- 5.5.4 Association search for discovery compounds -- 5.6 Conclusion -- | |
505 | 8 | _a6. Semantic link association prediction -- 6.1 Introduction -- 6.2 Materials and methods -- 6.2.1 Network building -- 6.2.2 Drug target pair preparation -- 6.2.3 Path finding -- 6.2.4 Statistical model -- 6.2.5 Model evaluation -- 6.2.6 Assess drug similarity -- 6.3 Results -- 6.3.1 Semantic linked data -- 6.3.2 Pattern score distribution -- 6.3.3 Pattern importance -- 6.3.4 Association scores of drug target pairs -- 6.3.5 Comparison with connectivity maps -- 6.3.6 Assessing drug similarity from biological function -- 6.4 Web services -- 6.5 Discussion -- | |
505 | 8 | _a7. Conclusions -- References -- Authors' biographies. | |
506 | 1 | _aAbstract freely available; full-text restricted to subscribers or individual document purchasers. | |
510 | 0 | _aCompendex | |
510 | 0 | _aINSPEC | |
510 | 0 | _aGoogle scholar | |
510 | 0 | _aGoogle book search | |
520 | 3 | _aThe current drug development paradigm, sometimes expressed as, "one disease, one target, one drug," is under question, as relatively few drugs have reached the market in the last two decades. Meanwhile, the research focus of drug discovery is being placed on the study of drug action on biological systems as a whole, rather than on individual components of such systems. The vast amount of biological information about genes and proteins and their modulation by small molecules is pushing drug discovery to its next critical steps, involving the integration of chemical knowledge with these biological databases. Systematic integration of these heterogeneous datasets and the provision of algorithms to mine the integrated datasets would enable investigation of the complex mechanisms of drug action; however, traditional approaches face challenges in the representation and integration of multi-scale datasets, and in the discovery of underlying knowledge in the integrated datasets. The Semantic Web, envisioned to enable machines to understand and respond to complex human requests and to retrieve relevant, yet distributed, data, has the potential to trigger system-level chemical-biological innovations. Chem2Bio2RDF is presented as an example of utilizing Semantic Web technologies to enable intelligent analyses for drug discovery. | |
530 | _aAlso available in print. | ||
588 | _aTitle from PDF title page (viewed on November 20, 2014). | ||
630 | 0 | 0 | _aChem2Bio2RDF. |
650 | 0 | _aDrug development. | |
650 | 0 |
_aDrugs _xResearch. |
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650 | 0 | _aSemantic Web. | |
650 | 2 | _aDrug Discovery. | |
653 | _adrug discovery | ||
653 | _asemantic data integration | ||
653 | _asemantic analytics | ||
653 | _asemantic graph mining | ||
653 | _asemantic prediction | ||
700 | 1 |
_aWang, Huijun., _eauthor. |
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700 | 1 |
_aDing, Ying, _d1955-, _eauthor. |
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700 | 1 |
_aWild, David., _eauthor. |
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776 | 0 | 8 |
_iPrint version: _z9781627054508 |
830 | 0 | _aSynthesis digital library of engineering and computer science. | |
830 | 0 |
_aSynthesis lectures on the semantic web, theory and technology ; _v# 9. _x2160-472X |
|
856 | 4 | 0 |
_3Abstract with links to full text _uhttp://dx.doi.org/10.2200/S00600ED1V01Y201409WEB009 |
856 | 4 | 2 |
_3Abstract with links to resource _uhttp://ieeexplore.ieee.org/servlet/opac?bknumber=6949409 |
999 |
_c562097 _d562097 |