![]()
|
|
|
Guest Commentary: Prioritizing hits based on drug-target residence time
September 2010
SHARING OPTIONS:
Amid the complexity and expense of the small-molecule drug
discovery process, from identification and validation of a “drugable” target to
the development of an understanding of the impact of pharmacogenomic
differences in patient populations on drug action, lies the “hit-to-lead”
process in which compounds that show activity in an assay system are
iteratively improved upon through medicinal chemistry that is guided by more
detailed assays and filtering criteria.
The assays used involve a careful balance between simplicity
(which inversely correlates with time and expense) and biological relevancy,
and should ensure (or at least not contradict) a correlation between assay
response and ultimate in vivo drug
action. While it is easy to build and perform robust assays to measure the
action of a soluble, unmetabolized compound on a single, well-characterized,
recombinantly expressed protein target, doing so in a manner that mimics
biological relevancy remains a challenge.
At a minimum, for the hit-to-lead process to be successful,
the assay systems employed to evaluate compounds should provide a clear
understanding of compound affinity for the intended target, as well as a clear
“profile” of compound specificity, which is typically thought of as a
measurement of the affinity of the compound for its intended target relative to
the affinity of its interactions with other, often related, targets. Both of
these properties can contribute to the ultimate success of a compound: Those
that bind tightly (have high affinity for their intended target) can in theory
be used at lower concentrations, and those that bind selectively should by
definition have fewer off-target effects, which can contribute to side effects
and toxicity.
While compound affinity for the target of interest can often
be assessed using the same assay system used to initially identify and/or
characterize the compound, specificity is often assessed by performing assays
against a larger number of targets. Because of the scale and complexity of this
profiling and a requirement for standardization, nuances may be lost during the
profiling process.
For example, in the case of kinase-directed compounds,
profiling is often performed against panels containing the active forms of
kinases. While this simplifies the assays being performed (it is easier to
measure the activity of an enzymatic reaction when the enzyme is active), it
removes the nuance of compounds that may bind preferentially to the
non-activated form of a kinase, and thereby stabilize the non-active state,
which may prevent further activation.
Additionally, although more than 500 protein kinases exist
in the human genome, methods to express and/or assay all of these kinases do
not exist, and even the broadest panels lack full kinase coverage. The lack of
full target family coverage and lack of easy control over kinase activation
state is compounded by the fact that for both technical and economic reasons,
full-length targets are often not used (catalytic activity may be assessed
using only the catalytic domain of the kinase), and the targets are often
expressed in non-mammalian systems or as domains expressed on the surface of phage
particles.
Given the fact that the majority of small-molecule drugs
directed toward kinases presently target the ATP binding site, and that a
plethora of proteins use ATP as a substrate (and therefore contain ATP binding
sites), the ability of any profiling process that is limited to determining
specificity against only kinase targets is clearly incomplete. Although elegant
methods have been described that can identify the target of a small-molecule
drug from within a cellular lysate (thereby exposing a compound to all possible
binding partners present in a particular cell type), such methods still contain
shortcomings and are difficult to implement in a cost-effective manner.
Despite the recognized challenges of developing appropriate
assays for moving compounds forward during the hit-to-lead process, and the
shortcomings inherent in any of the available methods, this process remains
crucial to the development of selective and efficacious drugs, with the
important caveat being that the information that can be gleaned by any one
method used in the process should be evaluated with a clear understanding of
the limitations associated with that method.
In addition to target affinity and specificity, a third (and
less commonly appreciated) property of a compound that can correlate with both in
vivo efficacy as well as safety is often
referred to as drug-target residence time. This property is related to the
average time that the compound remains associated with its intended target
before dissociation.
There are several reasons why this property can correlate
with compound success. The first is intuitive: For a drug to be active against
a target, it needs to be physically associated with that target. While
association of a compound with a target is dependant on the concentration of
the compound, the rate of dissociation is independent of drug concentration and
is a property of the drug-target complex. Since any drug that is not associated
with a target is available for metabolism, degradation or excretion, if a
compound has a slower off-rate than these competing processes, it can remain
efficacious for a longer period of time than if it had a shorter residence
time.
This leads to a second corollary that can be associated with
residence time, that being an increase in the “effective” selectivity of a
compound. For example, a drug may bind to multiple targets, but if the
“off-target” events have short residence times such that the drug may be
eliminated before these off-target events are detrimental, then side effects
and toxicity may be lessened.
The importance of drug-target residence time has been
recognized for many decades, and at least via retroactive analysis, there are
numerous examples where the in vivo
properties of a compound or set of compounds can be explained or rationalized
based upon residence times. Despite the recognized importance of drug-target
residence time, measurement of this property is not commonly performed when
prioritizing compounds early in the drug discovery process. While affinity can
often be measured using fairly standard methods, and first-pass specificity can
be determined by profiling compounds against an appropriate panel of related
targets, compound residence time is often measured using complex kinetic
experiments or in systems using immobilized targets.
For example, a traditional enzymatic method for measuring
the rate at which a compound dissociates from a target is to first incubate the
target and the drug at a concentration above the Kd value for that interaction,
to rapidly dilute the sample into assay buffer such that the total
concentration of drug is now below the Kd value, and then to measure the
initial rate of a catalytic reaction at various time points after the dilution
has been performed. As the compound dissociates from the target the enzymatic
activity is restored, and the rate at which this restoration is seen can then
be correlated with residence time.
Although conceptually simple, the dissociation process
cannot be monitored in real-time, and multiple catalytic reactions
(experiments) are required to determine residence time for a single compound.
Alternative non-activity based assays can be performed in a similar format
using radioactive probes that bind to the active site as compound dissociates,
and bound radioactivity can be measured after a separation step is performed
(to remove unbound radioactivity), but these methods come at the regulatory and
safety expense associated with the use of radiation.
An alternative approach to measuring compound dissociation
is by surface plasmon resonance (SPR) or similar optical methods in which the
target is immobilized (attached) to a surface, and compound binding (and
dissociation) can be measured in real-time as solutions containing compound are
passed over the immobilized target. Limitations on this approach can include an
appropriate level of sensitivity, as the signal is dependant in part of optical
changes induced by a small molecule (ca. 500 Daltons in molecular weight)
binding to a much larger protein (ca. 50-100 kilo Daltons), which can be
extremely small. However, due to the flexibility of the technique (which
includes no requirement for labeling either the target or the receptor with any
sort of “tag” or handle) and the rapid pace at which technological improvements
are being made, it is expected that these types of measurements will push into
routine use at earlier stages in the drug discovery process in the future.
Recently, several techniques were described at the 2010
Society for Biomolecular Sciences (SBS) conference in April in Phoenix, from
both my own group as well as scientists at GlaxoSmithKline, that combine
certain elements of existing approaches in an attempt to develop a homogenous,
real-time assay system for measuring drug-target residence time. As with the
traditional radiometric approach to measuring compound off-rates, labeled
compounds that can bind to a target active site as a drug dissociates are used,
but in these cases the labels used are fluorescent rather than radiometric.
In either case, binding of the fluorescent probe to the
target active site can be monitored in real time as the drug dissociates from
the target by a change in fluorescence signal. Although in each approach there
is a requirement to generate a fluorescent probe that will bind to the target
of interest, for many target classes (such as kinases), there are
well-described tool compounds that bind broadly across a target class, and can
therefore be used to develop a small set of probes that could be used to
determine residency time across a large number of related targets. Time will
tell if these methods can be developed and validated to the extent that they
may become a routine part of the lead optimization process to help develop
better drugs faster.
Dr. Kurt Vogel is director of R&D within the discovery and ADMET
systems segment of Life Technologies in Madison, Wis. In this role, he has lead
teams focused on the development and commercialization of products and services
aimed at early-stage drug discovery, particularly those involving
fluorescence-based readouts and formatted for high-throughput screening
applications. Back |
|
||
|
Home |
FAQs |
Search |
Submit News Release |
Site Map |
About Us |
Advertising |
Resources |
Contact Us |
Terms & Conditions |
Privacy Policy
|