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A Protein Patent Query System Powered By Kleisli.

Jing Chen, Limsoon Wong, Louxin Zhang: A Protein Patent Query System Powered By Kleisli. SIGMOD Conference 1998: 593-595
@inproceedings{DBLP:conf/sigmod/ChenWZ98,
  author    = {Jing Chen and
               Limsoon Wong and
               Louxin Zhang},
  editor    = {Laura M. Haas and
               Ashutosh Tiwary},
  title     = {A Protein Patent Query System Powered By Kleisli},
  booktitle = {SIGMOD 1998, Proceedings ACM SIGMOD International Conference
               on Management of Data, June 2-4, 1998, Seattle, Washington, USA},
  publisher = {ACM Press},
  year      = {1998},
  isbn      = {0-89791-995-5},
  pages     = {593-595},
  ee        = {http://doi.acm.org/10.1145/276304.276392, db/conf/sigmod/ChenWZ98.html},
  crossref  = {DBLP:conf/sigmod/98},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}
BibTeX

Abstract

Kleisli is an integration technology that is rather suitable in the bioinformatics arena. We developed a prototype system to more effectively query protein patents. This system uses Kleisli to tie together the following sources to answer queries on protein patents that are considerably more demanding than simple free-text search:
  1. the protein section of the Entrez system at the National Center for Biotechnology Information;
  2. the BLAST sequence homology service at the the National Center for Biotechnology Information;
  3. the WU-BLAST2 sequence homology software from Washington University;
  4. the Isite system at the US Patent and Trademark Office ; and
  5. the structural classification of protein database SCOP at Cambridge MRC Laboratory of Molecular Biology.
The system is aimed at these three questions: Is my protein sequence already patented? What are the prior arts? How to broaden my patent claims? The system provides the following information in response to these questions: It can find patented sequences that are similar to yours, it can try to determine the superfamily of your sequence and can find patented sequences that are similar to some sequences in the same superfamily, it can also find sequences that are similar to unpatented members in the same superfamily. An on-line demo of this system can be accessed at http://adenine.krdl.org.sg:8080/examples/patent.

Copyright © 1998 by the ACM, Inc., used by permission. Permission to make digital or hard copies is granted provided that copies are not made or distributed for profit or direct commercial advantage, and that copies show this notice on the first page or initial screen of a display along with the full citation.

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Laura M. Haas, Ashutosh Tiwary (Eds.): SIGMOD 1998, Proceedings ACM SIGMOD International Conference on Management of Data, June 2-4, 1998, Seattle, Washington, USA. ACM Press 1998, ISBN 0-89791-995-5 BibTeX , SIGMOD Record 27(2), June 1998
Contents

Online Edition: ACM SIGMOD

[Abstract]
[Full Text (Postscript)]

References

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Peter Buneman, Leonid Libkin, Dan Suciu, Val Tannen, Limsoon Wong: Comprehension Syntax. SIGMOD Record 23(1): 87-96(1994) BibTeX
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Susan B. Davidson, G. Christian Overton, Val Tannen, Limsoon Wong: BioKleisli: A Digital Library for Biomedical Researchers. Int. J. on Digital Libraries 1(1): 36-53(1997) BibTeX
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William B. Frakes, Ricardo A. Baeza-Yates (Eds.): Information Retrieval: Data Structures & Algorithms. Prentice-Hall 1992, ISBN 0-13-463837-9
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