Government-Owned Inventions; Availability for Licensing, 6909-6910 [E9-2821]
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Federal Register / Vol. 74, No. 27 / Wednesday, February 11, 2009 / Notices
ease of use. The levels of foreground
noise, background noise, and spot
distortion can be set, and algorithms can
be evaluated under varying conditions.
Applications:
• Microarray imaging
• Evaluation of gene expression
Advantages:
• Efficient and accurate microarray
signal analysis
• Improved detection of weak targets
and improved local background
estimation for microarray spots
Development Status: Late stage.
Inventors: Yidong Chen (NHGRI) et al.
Publication: Y Balagurunathan, ER
Dougherty, Y Chen, ML Bittner, JM
Trent. Simulation of cDNA microarrays
via a parameterized random signal
model. J Biomed Opt. 2002 Jul;7(3):507–
523.
Patent Status: U.S. Patent No.
7,363,169 issued 22 Apr 2008 (HHS
Reference No. E–089–2003/0–US–03).
Licensing Status: Available for
exclusive or non-exclusive licensing.
Licensing Contact: Jeffrey A. James,
PhD; 301–435–5474;
jeffreyja@mail.nih.gov.
mstockstill on PROD1PC66 with NOTICES
System for Synergistic Combination of
Multiple Automatic Induction Methods
and Automatic Re-Representation of
Data
Description of Invention: The present
application describes a unique
prototype of an advanced framework
which relates to the field of
multidimensional data mining, machine
learning, and analysis that has been
named COEV (for COEVolutional).
COEV synergistically combines different
methods of statistical analysis, neural
networks, decision trees and genetic
algorithms for the resolution of data
queries. COEV automatically determines
the optimal methods and data
representations to apply at each step of
inquiry and, as a result, can provide
outcomes that are significantly more
accurate than can be achieved by use of
any one methodology alone. The
invention uses an evolutionary learning
technology to improve predictive
outcomes with continued use. COEV is
designed to advance the accuracy,
flexibility, speed and ease of use of
advanced data analysis technologies.
Characteristics of problems that are
appropriate for the application of the
COEV method are: (1) Appropriate for
machine learning, in that there is a welldefined set of input variables and a clear
prediction target; (2) difficult for
traditional methods, and where a
modest improvement in accuracy over
existing machine learning methods (e.g.,
neural networks) would be significant;
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(3) there is a large amount of training
data, ideally thousands of cases.
Possible application areas of interest
include the analysis of high-throughput
screening data for pharmaceutical
discovery, detecting patterns of fraud in
insurance claims, or automating
screening of medical images.
This invention requires further R&D
and testing to make it a practical system
for widespread use.
Applications:
• Machine learning
• High throughput screening analysis
for pharmaceutical, biotechnology, and
other industries
Advantages:
• More accurate interpretation and
analysis of complex data networks
• Improved predictive outcomes with
continued use (evolutionary learning)
Development Status: Early stage.
Inventors: Lawrence Hunter (NLM).
Patent Status: U.S. Patent No.
6,449,603 issued 10 Sep 2002 (HHS
Reference No. E–118–1996/0–US–03).
Licensing Status: Available for
exclusive or non-exclusive licensing.
Licensing Contact: Jeffrey A. James,
PhD; 301–435–5474;
jeffreyja@mail.nih.gov.
Computational Analysis of Nucleic
Acid Information Defines Binding Sites
Description of Invention: Many
approaches to determine whether a
nucleotide change is a benign
polymorphism or is associated with a
genetic disease rely on sequence
comparisons of a substantial number of
individuals. This invention embodies a
computational method that is able to
predict whether a nucleotide change
will have a deleterious effect. The
claims of this invention relate to a
computer program which has the novel
feature in that it is designed to calculate
the relative importance of a given
nucleotide change. This program is
unique in that it is capable of predicting
the effect that a given nucleotide change
would have on a particular sequence
such as a known binding site. The
method has been successfully applied to
predicting the effects of changes at
human splice junctions.
Further information is available at
https://www.ccrnp.ncifcrf.gov/∼toms/
walker/.
Applications:
• Predictive outcomes for genetic
mutations
• Biomedical research
Development Status: Late stage.
Inventors: Thomas D. Schneider (NCI)
et al.
Patent Status: U.S. Patent 5,867,402
issued 02 Feb 1999 (HHS Reference No.
E–080–1995/0–US–01).
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6909
Licensing Status: Available for nonexclusive licensing.
Licensing Contact: Jeffrey A. James,
PhD; 301–435–5474;
jeffreyja@mail.nih.gov.
Dated: January 30, 2009.
Richard U. Rodriguez,
Director, Division of Technology Development
and Transfer, Office of Technology Transfer,
National Institutes of Health.
[FR Doc. E9–2820 Filed 2–10–09; 8:45 am]
BILLING CODE 4140–01–P
DEPARTMENT OF HEALTH AND
HUMAN SERVICES
National Institutes of Health
Government-Owned Inventions;
Availability for Licensing
AGENCY: National Institutes of Health,
Public Health Service, HHS.
ACTION: Notice.
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 any 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.
Constructs for Measuring Activated
Arf5 in Cells
Description of Technology: Scientists
at the National Institutes of Health have
developed a series of fusion protein
constructs that can quantify the levels of
activated Arf5 in cells. Arf5 is a member
of the Arf family of GTP binding
proteins and is an important regulator of
intracellular trafficking and actinmediated cell motility. Arf family
members have been implicated to play
a role in the spread of cancer
(metastasis) and in the movement of
cancer cells into healthy tissues
(invasion). The constructs are DNA
sequences of various portions of the
carboxyl-terminal end of the Rab11-
E:\FR\FM\11FEN1.SGM
11FEN1
6910
Federal Register / Vol. 74, No. 27 / Wednesday, February 11, 2009 / Notices
mstockstill on PROD1PC66 with NOTICES
family interacting protein 3 (FIP3)
expressed in the pGEX2T vector.
Application: Research tool to detect
and quantify activated Arf5 in various
laboratory procedures to analyze
intracellular trafficking and cellular
motility.
Advantages: To the best of our
knowledge, this technology represents
the first reported assay for the detection
of activated Arf5.
Inventors: Paul A. Randazzo and Vi L.
Ha (NCI).
Publications:
1. H Inoue et al. Arf GTPase-activating
protein ASAP1 interacts with Rab11
effector FIP3 and regulates
pericentrosomal localization of
transferrin receptor-positive recycling
endosome. Mol Biol Cell. 2008
Oct;19(10):4224–4237.
2. HY Yoon et al. In vitro assays of
Arf1 interaction with GGA proteins.
Methods Enzymol. 2005;404:316–332.
Patent Status: HHS Reference No. E–
064–2009/0—Research Tool. Patent
protection is not being pursued for this
technology.
Related Technologies: Antibodies and
Antisera Recognizing Members of the
ArfGap Family of Proteins:
• HHS Reference No. E–220–2008/
0—Research Tool.
• HHS Reference No. E–220–2008/
1—Research Tool.
• HHS Reference No. E–220–2008/
2—Research Tool.
• HHS Reference No. E–221–2008/
0—Research Tool.
• HHS Reference No. E–221–2008/
1—Research Tool.
• HHS Reference No. E–221–2008/
2—Research Tool.
• HHS Reference No. E–222–2008/
0—Research Tool.
• HHS Reference No. E–242–2008/
0—Research Tool.
• HHS Reference No. E–243–2008/
0—Research Tool.
• HHS Reference No. E–244–2008/
0—Research Tool.
• HHS Reference No. E–245–2008/
0—Research Tool.
• HHS Reference No. E–245–2008/
1—Research Tool.
• HHS Reference No. E–252–2008/
0—Research Tool.
Licensing Status: Available for
licensing under a Biological Materials
License Agreement.
Licensing Contact: Samuel E. Bish,
PhD; 301–435–5282;
bishse@mail.nih.gov.
developed mouse monoclonal
antibodies against the human spindle
assembly checkpoint protein, MAD1.
The spindle assembly checkpoint in
mitotic cell division regulates the
fidelity of chromosome segregation
during cell division. MAD1 is an
important component of this checkpoint
control, which if compromised, can lead
to the initiation of cancer cell growth.
These monoclonal antibodies are the
first available antibodies against MAD1
and can be used in laboratory research
and diagnostics.
Applications:
• Research tool in various laboratory
procedures to identify and detect
MAD1.
• Diagnostic tool for aneuploidy, the
condition of having an abnormal
number of chromosomes, which results
in birth and developmental defects,
such as Down syndrome.
Inventor: Kuan-Teh Jeang (NIAID).
Publication: K Haller et al. The Nterminus of rodent and human MAD1
confers species-specific stringency to
spindle assembly checkpoint. Oncogene
2006 Apr 6;25(15):2137–2147.
Patent Status: HHS Reference No. E–
119–2003/0—Research Tool. Patent
protection is not being pursued for this
technology.
Licensing Status: Available for
licensing under a Biological Materials
License Agreement.
Licensing Contact: Samuel E. Bish,
PhD; 301–435–5282;
bishse@mail.nih.gov.
Collaborative Research Opportunity:
The NIAID Office of Technology
Development is seeking statements of
capability or interest from parties
interested in collaborative research to
further develop, evaluate, or
commercialize reagents for studying cell
cycle checkpoint factors. Please contact
Agnes Rooke at rookeab@niaid.nih.gov
or by phone at 301–594–1697 for more
information.
Mouse Monoclonal Antibodies to
MAD1, a Human Spindle Assembly
Checkpoint Protein for Maintaining
Chromosomal Segregation
Description of Technology: Scientists
at the National Institutes of Health have
National Institutes of Health
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17:58 Feb 10, 2009
Jkt 217001
Dated: January 30, 2009.
Richard U. Rodriguez,
Director, Division of Technology Development
and Transfer, Office of Technology Transfer,
National Institutes of Health.
[FR Doc. E9–2821 Filed 2–10–09; 8:45 am]
BILLING CODE 4140–01–P
DEPARTMENT OF HEALTH AND
HUMAN SERVICES
Government-Owned Inventions;
Availability for Licensing
AGENCY: National Institutes of Health,
Public Health Service, HHS.
PO 00000
Frm 00056
Fmt 4703
Sfmt 4703
ACTION:
Notice.
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.
Prognostic Test for Breast Cancer Based
on a 12 Gene Expression Signature
Description of Technology: The
clinical course and survival times of
patients with breast cancer varies
greatly, consequently it is difficult to
establish a prognosis for the disease. To
improve patient prognosis, much effort
has been made to identify biological
markers that would allow precise
staging of the cancer. When cells cannot
repair minor damage to their DNA it
leads to genetic instability which can
produce gross abnormalities in
chromosomes and the onset of a cancer.
It is known that the magnitude of the
abnormalities is strongly correlated with
a negative prognosis for cancer. Thus,
genetic instability can serve as a useful
biomarker for establishing a prognosis
for breast cancer patients. Presently,
genetic instability is not directly
accounted for in established prognostic
tests.
Investigators at the National Cancer
Institute (NCI) have developed a
compact gene signature that detects
genome instability in breast cancer cells.
By comparing changes in expression
levels of only 12 genes in malignant
tissue to levels in normal breast tissue
it is possible to detect the genetic
abnormalities that are indicative of a
poor prognosis. This method has
potential to improve markedly the
forecasting of clinical outcomes for
breast cancer and help improve
treatment of this disease.
Applications:
• Precise staging of women with
breast cancer prior to commencing
treatment.
E:\FR\FM\11FEN1.SGM
11FEN1
Agencies
[Federal Register Volume 74, Number 27 (Wednesday, February 11, 2009)]
[Notices]
[Pages 6909-6910]
From the Federal Register Online via the Government Printing Office [www.gpo.gov]
[FR Doc No: E9-2821]
-----------------------------------------------------------------------
DEPARTMENT OF HEALTH AND HUMAN SERVICES
National Institutes of Health
Government-Owned Inventions; Availability for Licensing
AGENCY: National Institutes of Health, Public Health Service, HHS.
ACTION: Notice.
-----------------------------------------------------------------------
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 any 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.
Constructs for Measuring Activated Arf5 in Cells
Description of Technology: Scientists at the National Institutes of
Health have developed a series of fusion protein constructs that can
quantify the levels of activated Arf5 in cells. Arf5 is a member of the
Arf family of GTP binding proteins and is an important regulator of
intracellular trafficking and actin-mediated cell motility. Arf family
members have been implicated to play a role in the spread of cancer
(metastasis) and in the movement of cancer cells into healthy tissues
(invasion). The constructs are DNA sequences of various portions of the
carboxyl-terminal end of the Rab11-
[[Page 6910]]
family interacting protein 3 (FIP3) expressed in the pGEX2T vector.
Application: Research tool to detect and quantify activated Arf5 in
various laboratory procedures to analyze intracellular trafficking and
cellular motility.
Advantages: To the best of our knowledge, this technology
represents the first reported assay for the detection of activated
Arf5.
Inventors: Paul A. Randazzo and Vi L. Ha (NCI).
Publications:
1. H Inoue et al. Arf GTPase-activating protein ASAP1 interacts
with Rab11 effector FIP3 and regulates pericentrosomal localization of
transferrin receptor-positive recycling endosome. Mol Biol Cell. 2008
Oct;19(10):4224-4237.
2. HY Yoon et al. In vitro assays of Arf1 interaction with GGA
proteins. Methods Enzymol. 2005;404:316-332.
Patent Status: HHS Reference No. E-064-2009/0--Research Tool.
Patent protection is not being pursued for this technology.
Related Technologies: Antibodies and Antisera Recognizing Members
of the ArfGap Family of Proteins:
HHS Reference No. E-220-2008/0--Research Tool.
HHS Reference No. E-220-2008/1--Research Tool.
HHS Reference No. E-220-2008/2--Research Tool.
HHS Reference No. E-221-2008/0--Research Tool.
HHS Reference No. E-221-2008/1--Research Tool.
HHS Reference No. E-221-2008/2--Research Tool.
HHS Reference No. E-222-2008/0--Research Tool.
HHS Reference No. E-242-2008/0--Research Tool.
HHS Reference No. E-243-2008/0--Research Tool.
HHS Reference No. E-244-2008/0--Research Tool.
HHS Reference No. E-245-2008/0--Research Tool.
HHS Reference No. E-245-2008/1--Research Tool.
HHS Reference No. E-252-2008/0--Research Tool.
Licensing Status: Available for licensing under a Biological
Materials License Agreement.
Licensing Contact: Samuel E. Bish, PhD; 301-435-5282;
bishse@mail.nih.gov.
Mouse Monoclonal Antibodies to MAD1, a Human Spindle Assembly
Checkpoint Protein for Maintaining Chromosomal Segregation
Description of Technology: Scientists at the National Institutes of
Health have developed mouse monoclonal antibodies against the human
spindle assembly checkpoint protein, MAD1. The spindle assembly
checkpoint in mitotic cell division regulates the fidelity of
chromosome segregation during cell division. MAD1 is an important
component of this checkpoint control, which if compromised, can lead to
the initiation of cancer cell growth. These monoclonal antibodies are
the first available antibodies against MAD1 and can be used in
laboratory research and diagnostics.
Applications:
Research tool in various laboratory procedures to identify
and detect MAD1.
Diagnostic tool for aneuploidy, the condition of having an
abnormal number of chromosomes, which results in birth and
developmental defects, such as Down syndrome.
Inventor: Kuan-Teh Jeang (NIAID).
Publication: K Haller et al. The N-terminus of rodent and human
MAD1 confers species-specific stringency to spindle assembly
checkpoint. Oncogene 2006 Apr 6;25(15):2137-2147.
Patent Status: HHS Reference No. E-119-2003/0--Research Tool.
Patent protection is not being pursued for this technology.
Licensing Status: Available for licensing under a Biological
Materials License Agreement.
Licensing Contact: Samuel E. Bish, PhD; 301-435-5282;
bishse@mail.nih.gov.
Collaborative Research Opportunity: The NIAID Office of Technology
Development is seeking statements of capability or interest from
parties interested in collaborative research to further develop,
evaluate, or commercialize reagents for studying cell cycle checkpoint
factors. Please contact Agnes Rooke at rookeab@niaid.nih.gov or by
phone at 301-594-1697 for more information.
Dated: January 30, 2009.
Richard U. Rodriguez,
Director, Division of Technology Development and Transfer, Office of
Technology Transfer, National Institutes of Health.
[FR Doc. E9-2821 Filed 2-10-09; 8:45 am]
BILLING CODE 4140-01-P