Library Screening by Molecular Docking
Small molecule
docking programs take a large database of molecules and screen each for
complementarity to a binding site of known structure. To distinguish this sort of docking from
protein-protein docking (below), we will refer to it as “protein-ligand docking”
or simply “ligand docking.” To be useful,
ligand docking screens must be fast, and therefore must make many
approximations. Important energy terms, such as electronic polarization, are
left out of docking calculations.
Important degrees of freedom, such as receptor conformation, are either
under-sampled or simply ignored. In many ways, it’s surprising that docking
screens work at all.
Docking has
nevertheless had important recent successes5-11. The
technique has discovered genuinely novel ligands for over 17 disparate targets
in the last two years alone (Table 1).
Increasingly, docking predictions have been tested by subsequent determination
of x-ray structures; this has particularly been true in the work of Klebe10,12, Olson13,14, and ourselves15,16 (Figure 1).
Recently, docking screens have been compared to random high throughput
screens (HTS), with the docking screens predicting ligands with a hit rate 100
to 1700-fold better than random screening alone (Table 2)17,18.
How can the algorithmic weaknesses of docking be reconciled
with these apparent successes? Like any
screening technique, docking tolerates both false positives and false negatives,
as long as genuinely novel ligands are suggested at a rate high enough to
justify the effort. Its focus on
libraries of available compounds makes it a popular technique for both
pharmaceutical and academic screening19, and
docking screens are now the most important way to leverage structure for novel
ligand discovery. As ever-more
structures are determined20, there
is an ever-larger pool of potential users for the technique.
Unfortunately,
docking screens are largely restricted to a small number of experts and their
collaborators. There are large barriers
to entry into the field: small molecule databases suitable for docking are expensive
to acquire, demand considerable curation, and the programs require expert
knowledge. Even those groups willing to
purchase small molecule source databases such as the Available Chemicals Database
(ACD) are frequently unprepared for the series of calculations, including
assigning charges, solvation energies, and often conformations that are necessary
to make the database useful for docking.
These barriers have diminished the impact of docking screens and limited
their applicability.
Lowering
these barriers to docking would bring the technology to a much larger
audience. To do so, the following would
have to occur:
·
A large database of receptor
structures must be accessible.
·
Binding sites on those receptors must be identified.
·
Large databases of compounds must be constructed,
including:
¨
A library of purchasable small molecules (for
experimental testing).
¨
A library of annotated drugs (for exploring
possible receptor functions).
¨
A library of annotated metabolites (for exploring
pathways and connections).
·
The interface to the docking software must be
simplified.
·
Lower throughput but more reliable energy methods
must be available for post processing.
·
This process must be available over the
web and must be automated.
Target
|
Best hit
IC50 (mM)
|
Docking
program
|
Structure
solved?
|
Aldose
reductase21
|
4.3
|
Adam
& Eve
|
No
|
CDK422
|
44
|
Legend
|
Yes
|
Matriptase11
|
0.9
|
DOCK
|
No
|
Bcl-223
|
10.4
|
DOCK
|
No
|
Adenovirus
protease24
|
3.1
|
EUDOC
|
No
|
AmpC15
|
26a
|
DOCK3.6
|
Yes
|
retinoic
acid receptor25
|
2
|
ICM
|
No
|
TH
receptor26
|
1.5
|
ICM
|
No
|
TGT10
|
8.3
|
LUDI/
FlexX
|
Yes
|
Carbonic
anhydrase12
|
0.0008
|
FlexX
|
Yes
|
HPRTase27
|
2.2
a
|
DOCK3.6
|
No
|
Cavity
site28
|
56
b
|
DOCK3.6
|
Yes
|
H2picolinate
reductase18
|
7.2
|
FLOG
|
No
|
PTP-1B17
|
0.5
|
DOCK3.6
|
No
|
Edema
Factor29
|
25
a
|
DOCK3.6
|
No
|
CK230
|
0.08
|
DOCK4
|
No
|
Table 1. Some recent docking successes (a, Ki. b, Kd.).
Technique
|
Compounds tested
|
Hits with IC50 < 100 μM
|
Hits with IC50 < 10 μM
|
Hit Rate (%)
|
HTS
|
400,000
|
85
|
6
|
0.021
|
Docking
|
365
|
127
|
18
|
34.8
|
Table 2. Docking versus screening for PTP-1B.
|
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