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United States of America Design
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Dec 15, 2009
Grant Date -
N/A
app pub date -
Nov 21, 2008
filing date -
Nov 21, 2008
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Abstract
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First Claim
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Family
Country | kind | publication No. | Filing Date | Type | Sub-Type |
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- 15 United States
- 10 France
- 8 Japan
- 7 China
- 5 Korea
- 2 Other
Patent Owner(s)
- SHENG TAI BRASSWARE CO., LTD.
International Classification(s)

- 2008 Application Filing Year
- 0201 Class
- 7 Applications Filed
- 7 Patents Issued To-Date
- 100 % Issued To-Date
Inventor(s)
Inventor Name | Address | # of filed Patents | Total Citations |
---|---|---|---|
Pan, Chia-Chen | Changhua Hsien , TW | 10 | 180 |
# of filed Patents : 10 Total Citations : 180 |
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- 4 Citation Count
- 0201 Class
- 0 % this patent is cited more than
- 16 Age
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Maintenance Fees
Fee | Large entity fee | small entity fee | micro entity fee | due date |
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Fee | Large entity fee | small entity fee | micro entity fee |
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Surcharge after expiration - Late payment is unavoidable | $700.00 | $350.00 | $175.00 |
Surcharge after expiration - Late payment is unintentional | $1,640.00 | $820.00 | $410.00 |
Full Text
US Patent Application No: 2013/0090,247
METHODS AND SYSTEMS FOR IDENTIFICATION OF BINDING PHARMACOPHORES
Abstract
The invention provides systems and methods for generating 3D binding consensus pharmacophores. Initially, peptide screening sequence data is aligned. For one or more positions of the alignment: an observed distance matrix describing a distance between the relative binding activity of pairwise comparisons of each amino acid at the selected position is constructed, the observed distance matrix is compared to a plurality of field-based amino acid substitution matrices having the same shape as the observed distance matrix, preferred amino acid substitution matrices are identified from the plurality of amino acid substitution matrices based on the comparison, and a plurality of characteristics for the selected position are identified using the preferred amino acid substitution matrices. Characteristics for a plurality of positions of the alignment are used to generate three-dimensional peptide structures that represent predicted binding conformations. Molecular field information for these structures is clustered to determine a consensus field pharmacophore.
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