 |
PDBsum entry 4tvh
|
|
|
|
 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
 |
|
|
|
 |
 |
 |
 |
 |
 |
 |
 |
 |
 |
 |
 |
 |
 |
 |
 |
 |
 |
 |
|
|
|
|
|
|
|
|
|
|
Hydrolase/hydrolase inhibitor
|
PDB id
|
|
|
|
4tvh
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
 |
 |
 |
 |
 |
 |
 |
 |
 |
 |
 |
 |
 |
 |
|
|
|
| |
|
DOI no:
|
J Phys Chem B
119:976-988
(2015)
|
|
PubMed id:
|
|
|
|
|
| |
|
Distinguishing binders from false positives by free energy calculations: fragment screening against the flap site of HIV protease.
|
|
N.Deng,
S.Forli,
P.He,
A.Perryman,
L.Wickstrom,
R.S.Vijayan,
T.Tiefenbrunn,
D.Stout,
E.Gallicchio,
A.J.Olson,
R.M.Levy.
|
|
|
|
| |
ABSTRACT
|
|
|
| |
|
Molecular docking is a powerful tool used in drug discovery and structural
biology for predicting the structures of ligand-receptor complexes. However, the
accuracy of docking calculations can be limited by factors such as the neglect
of protein reorganization in the scoring function; as a result, ligand screening
can produce a high rate of false positive hits. Although absolute binding free
energy methods still have difficulty in accurately rank-ordering binders, we
believe that they can be fruitfully employed to distinguish binders from
nonbinders and reduce the false positive rate. Here we study a set of ligands
that dock favorably to a newly discovered, potentially allosteric site on the
flap of HIV-1 protease. Fragment binding to this site stabilizes a closed form
of protease, which could be exploited for the design of allosteric inhibitors.
Twenty-three top-ranked protein-ligand complexes from AutoDock were subject to
the free energy screening using two methods, the recently developed binding
energy analysis method (BEDAM) and the standard double decoupling method (DDM).
Free energy calculations correctly identified most of the false positives
(≥83%) and recovered all the confirmed binders. The results show a gap
averaging ≥3.7 kcal/mol, separating the binders and the false positives. We
present a formula that decomposes the binding free energy into contributions
from the receptor conformational macrostates, which provides insights into the
roles of different binding modes. Our binding free energy component analysis
further suggests that improving the treatment for the desolvation penalty
associated with the unfulfilled polar groups could reduce the rate of false
positive hits in docking. The current study demonstrates that the combination of
docking with free energy methods can be very useful for more accurate ligand
screening against valuable drug targets.
|
|
|
|
|
|
|
 |
 |
|
 |
 |
 |
 |
 |
 |
 |
 |
 |
');
}
}
 |