NEW PARADIGM WILL HELP IDENTIFY LEADS FOR DRUG DISCOVERY

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U.S. Department of Health and Human Services 
NATIONAL INSTITUTES OF HEALTH 
NIH News 
National Human Genome Research Institute (NHGRI)
http://www.genome.gov/

EMBARGOED FOR RELEASE: Monday, July 24, 2006; 5:00 p.m. ET

CONTACT: Geoff Spencer, 301-402-0911, spencerg@xxxxxxxxxxxx

NEW PARADIGM WILL HELP IDENTIFY LEADS FOR DRUG DISCOVERY
NIH Roadmap Initiative Develops More Precise Method for Rapidly
Screening Chemical Compounds

A new screening approach can profile compounds in large chemical
libraries more accurately and precisely than standard methods, speeding
the production of data that can be used to probe biological activities
and identify leads for drug discovery, the National Institutes of Health
(NIH) Chemical Genomics Center, part of the NIH Roadmap for Medical
Research's Molecular Libraries and Imaging Initiative, reported today.

"We are excited by the power of this approach, developed through the NIH
Roadmap for Medical Research, to generate new chemical 'tools' for
biological exploration. These tools will help researchers in both the
public and private sectors unlock the mysteries of gene function and
signaling pathways throughout the human body, opening the door to the
development of new drugs," said NIH Director Elias A. Zerhouni, M.D.

In a paper published online in the "Proceedings of the National Academy
of Sciences", a team from the NIH Chemical Genomics Center demonstrates
the feasibility of a new paradigm for profiling every compound in
chemical libraries, which are large collections of chemicals.
Traditional high-throughput screening measures the biological activity
of chemical compounds at just one concentration. In contrast, the new
approach, called quantitative high-throughput screening, or qHTS, tests
the biological activity of chemical compounds at seven or more
concentration levels spanning four orders of magnitude. The
multi-concentration screen produces a pharmacological characterization
of all the compounds that is far more complete and reliable than
traditional methods.

"This advance is crucial to NIH's goal of efficiently profiling the
range of biological activities associated with large chemical libraries
and making that data swiftly available to the worldwide research
community," said Francis S. Collins, M.D., Ph.D., director of the
National Human Genome Research Institute (NHGRI). "Broad adoption of
this paradigm should provide robust databases of chemical activity
information that will be suitable for accelerating the early phase of
the drug discovery process."

The NIH Chemical Genomics Center, which is based in NHGRI's Division of
Intramural Research, is part of an NIH-supported nationwide research
consortium of 10 groups, called the Molecular Libraries Screening
Centers Network. The network has established a collection of 100,000
chemicals from a class of compounds known as small molecules. Such
chemicals can serve as valuable probes in molecular, cellular and whole
organism studies of biological functions. Furthermore, most medications
used today are small molecules, and this class of chemicals is likely to
offer attractive targets for future drug development.

Christopher P. Austin, M.D., the center's director and senior author of
the study, explained what motivated his team to develop the new
approach. "Traditional high-throughput screening frequently produces
false positives and false negatives, and requires extensive follow-up
testing. Furthermore, traditional methods often fail to detect compounds
that exhibit partial activity or low efficacy, even though such
compounds may represent important modulators of biological activity,"
Dr. Austin said. "To achieve our aim of speeding the discovery of
biological probes and drug targets, we needed a method that offered far
greater precision coupled with the capacity to identify chemicals with a
wide spectrum of biological activities."

In their study published in PNAS, researchers from the NIH Chemical
Genomics Center used quantitative high-throughput screening to test the
activity of varying concentrations of more than 60,000 chemical
compounds against pyruvate kinase, a well-characterized enzyme involved
in energy metabolism that is deficient in a form of anemia and also
implicated in cancer. The compounds were classified as either activators
or inhibitors of the enzyme, with the degree of potency and efficiency
associated with the various concentrations of each compound being noted
in extensive detail.

Of particular importance, the team was able to take advantage of the new
approach to elucidate relationships between the biological activity of a
compound and its chemical structure directly from the initial screen --
a feat not possible with the traditional method. "This new approach
produces rich datasets that can be immediately mined for reliable
relationships between chemical structure and biological activities. This
represents a very significant savings of time and resources compared
with current iterative screening methods," said the study's lead author
James Inglese, Ph.D.

For most of scientific history, researchers discovered new chemical
compounds with medicinal qualities through a labor-intensive,
time-consuming process that involved manually testing the compounds on
tissue samples or laboratory animals. About 15 years ago, researchers in
the pharmaceutical industry developed high-throughput screening systems
that tested large numbers of compounds on engineered cell lines and
proteins. Still, due to technical demands and limitations, such
screening generally has remained focused on a single concentration of
each compound.

To address the limitations of traditional high-throughput screening, the
NIH Chemical Genomics Center set about developing a titration-based
screening approach that combines a variety of advanced technologies,
including microfluidics, low-volume dispensing, high-sensitivity
detectors and robotic plate handling. In an experiment designed to test
the feasibility, accuracy and efficiency of the new approach, the NIH
researchers used sophisticated robotic systems to prepare 60,793
chemical compounds at seven or more concentrations across 368 plates,
each containing 1,536 microwells. Over the next 30 hours in an automated
format, the plated compounds were exposed to pyruvate kinase, and their
biological activities were carefully recorded.

When the NIH research team compared their quantitative high-throughput
screening results with those generated by screening the same chemical
compounds with traditional, single-concentration methods, they found the
new approach produced a much lower prevalence of false negatives.
"Upwards of half of the compounds identified as active using the new
approach were missed by the traditional screening method," said Doug
Auld, Ph.D., co-author of the study and a group leader at the NIH
Chemical Genomics Center. "This tells us that quantitative
high-throughput screening is much more sensitive in uncovering chemicals
with the potential to be used as biological probes or leads for drug
development."

The researchers emphasized that miniaturization is essential to the
efficiency and cost-effectiveness of their new approach. They noted that
their miniaturized, seven-point concentration screen consumed less
chemicals, used the same amount of enzyme and required only 1.75-times
the number of plates as a traditional single-point concentration screen.
Furthermore, the additional plate handling was offset by the elimination
of the need to "cherry pick" and re-test compounds in separate
experiments, which conserved time and chemical compounds.

In addition to its potential for identifying new biological probes and
drug targets, the NIH Chemical Genomics Center will be using the new
paradigm as a platform for its contributions to PubChem, the Molecular
Libraries Roadmap's publicly available database of chemical compounds of
relevance to genomic research. For more information on PubChem, go to
http://pubchem.ncbi.nlm.nih.gov/.

For more information about the NIH Chemical Genomics Center, go to
http://www.ncgc.nih.gov/. For more information on the Molecular
Libraries Small Molecule Repository, go to
http://mlsmr.discoverypartners.com/MLSMR_HomePage/. To download photos
of the robotic system used in quantitative high-throughput screening, go
to http://www.genome.gov/pressDisplay.cfm?photoID=79 and
http://www.genome.gov/pressDisplay.cfm?photoID=10003.

The Molecular Libraries Screening Centers Network is guided by the
National Human Genome Research Institute and the National Institute for
Mental Health. For more information about this nationwide consortium and
other components of the Molecular Libraries and Imaging Initiative, go
to http://nihroadmap.nih.gov/molecularlibraries/.

NHGRI is one of the 27 institutes and centers at NIH. The NHGRI Division
of Intramural Research develops and implements technology to understand,
diagnose and treat genomic and genetic diseases. Additional information
about NHGRI can be found at www.genome.gov.

The NIH Roadmap is a series of far-reaching initiatives designed to
transform the nation's medical research capabilities and speed the
movement of research discoveries from the bench to the bedside. It
provides a framework for the priorities the NIH must address in order to
optimize its entire research portfolio and lays out a vision for a more
efficient and productive system of medical research. Additional
information about the NIH Roadmap can be found at
http://www.nihroadmap.nih.gov/.  

The National Institutes of Health (NIH) -- "The Nation's Medical
Research Agency" -- includes 27 Institutes and Centers and is a
component of the U.S. Department of Health and Human Services. It is the
primary federal agency for conducting and supporting basic, clinical and
translational medical research, and it investigates the causes,
treatments, and cures for both common and rare diseases. For more
information about NIH and its programs, visit www.nih.gov.
  
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This NIH News Release is available online at:
http://www.nih.gov/news/pr/jul2006/nhgri-24.htm.

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