[Federal Register Volume 69, Number 136 (Friday, July 16, 2004)]
[Notices]
[Pages 42751-42752]
From the Federal Register Online via the Government Publishing Office [www.gpo.gov]
[FR Doc No: 04-16126]


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DEPARTMENT OF HEALTH AND HUMAN SERVICES

National Institutes of Health


Government-Owned Inventions; Availability for Licensing

AGENCY: National Institutes of Health, Public Health Service, DHHS.

ACTION: Notice.

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SUMMARY: The inventions listed below are owned by an agency of the U.S. 
Government and are available for licensing in the U.S. in accordance 
with 35 U.S.C. 207 to achieve expeditious commercialization of results 
of federally-funded research and development. Foreign patent 
applications are filed on selected inventions to extend market coverage 
for companies and may also be available for licensing.

ADDRESSES: Licensing information and copies of the U.S. patent 
applications listed below may be obtained by writing to the indicated 
licensing contact at the Office of Technology Transfer, National 
Institutes of Health, 6011 Executive Boulevard, Suite 325, Rockville, 
Maryland 20852-3804; telephone: (301) 496-7057; fax: (301) 402-0220. A 
signed Confidential Disclosure Agreement will be required to receive 
copies of the patent applications.

Proteomic Toolkit for Protein Identification and Quantitation

    David A. Lucas, Thomas P. Conrads, Timothy D. Veenstra (NCI/SAIC) 
DHHS Reference No. E-255-2004/0--Research Tool
    Licensing Contact: Michael Shmilovich; (301) 435-5019; 
[email protected].
    A popular software package for the analysis of raw tandem mass 
spectrometry proteomic data is SEQUEST (from ThermoFinnigan, San Jose, 
CA), which coverts raw mass spectral data into peptide identifications 
(Peptide IDs). The large number of Peptide IDs generated by SEQUEST are 
contained in a single file and require further analysis using other 
software to identify relevant peptides. The SEQUEST software, however, 
cannot combine multiple Peptide ID files nor perform data mining.
    The present software developed at the NIH and available for 
licensing, allows multiple Peptide ID files to be collated into a 
single file for analysis. Thus, one can analyze and mine the data from 
multiple proteomic experiments. The software provides tools that are 
not currently available in the management of mass spectrometry 
proteomic data. This software can be used to query the data asking 
relevant questions and provide a statistical component. The NIH 
software also interfaces directly with SEQUEST.

Software for Determining Features of an Anatomical Boundary Within a 
Digital Representation of Tissue

    Jianhua Yao and Ronald Summers (NIHCC), U.S. Patent Application No. 
10/779,210 filed 13 Feb 2004 (DHHS Reference No. E-351-2003/0-US-01), 
claiming priority to U.S. Provisional Application No. 60/510,640 filed 
10 Oct 2003 (DHHS Reference No. E-174-2003/0-US-01).
    Licensing Contact: Michael Shmilovich; (301) 435-5019; 
[email protected]. Available for licensing and commercial use and/
or distribution is software for analyzing virtual anatomical structures 
and computing the enclosing three-dimensional boundaries. Various 
techniques can be used to determine tissue types in the virtual 
anatomical structure. For example, tissue types can be determined via 
an iso-boundary between lumen and air in the virtual anatomical 
structure and a fuzzy clustering approach. Based on the tissue type 
determination, a deformable model approach can be used to determine an 
enclosing three-dimensional boundary of a feature in the virtual 
anatomical structure (e.g., a colonic polyp). The software can be 
applied in a two-dimensional scenario, in which an enclosing two-
dimensional boundary is first determined in a two-dimensional digital 
representation (for example, a slice of a three-dimensional 
representation) and then propagated to neighboring slices to result in 
an enclosing three-dimensional boundary of a feature. The software can 
also be applied in a three-dimensional scenario, in which an enclosing 
three-

[[Page 42752]]

dimensional boundary of a feature is determined using three-dimensional 
techniques for tissue classification and converging via a deformable 
surface to avoid propagation.

Abciximab Pharmacodynamic Pattern Recognition

    Mirna Urquidi-MacDonald (Penn State), Darrell Abernethy (NIA), U.S. 
Patent Application No. 10/810,809 filed 29 Mar 2004 (DHHS Reference No. 
E-319-2003/0-US-01).
    Licensing Contact: Michael Shmilovich; (301) 435-5019, 
[email protected].
    Available for licensing and rapid implementation is a computerized 
neural network for predicting drug dosage and clinical outcome based on 
the use of data from drug dosage, drug effect and patient clinical 
characteristics. This network is especially suited to predict dosage 
and outcome for Abciximab. By establishing associated mapping, the 
neural network can predict a drug effect for a given patient 
characteristic and conversely predict drug dosing for a given drug 
effect and patient characteristic. The associative mapping is 
established and can be modulated by setting and adjusting weights of 
the connections between nodes in the neural network. The invention uses 
a feed-forward back-propagation neural network to model pharmacodynamic 
behavior and to predict drug dosage.

    Dated: July 6, 2004.
Steven M. Ferguson,
Director, Division of Technology Development and Transfer, Office of 
Technology Transfer, National Institutes of Health.
[FR Doc. 04-16126 Filed 7-15-04; 8:45 am]
BILLING CODE 4140-01-P