Xray
The role of quantum mechanics in structure-based drug design
September 01, 2007
Abstract: Herein we will focus on
the use of quantum mechanics (QM) in drug design (DD)
to solve disparate problems from scoring
protein–ligand poses to building QM QSAR
models. Through the variational principle of QM we
know that we can obtain a more accurate
representation of molecular systems than classical
models, and while this is not a matter of debate, it
still has not been shown that the expense of QM
approaches is offset by improved accuracy in DD
applications. Objectively validating the improved
applicability and performance of QM over
classical-based models in DD will be the focus of
research in the coming years along with research on
the conformational sampling problem as it relates to
protein–ligand complexes.
Authors: Kaushik Raha, Martin B. Peters, Bing Wang, Ning Yu, Andrew M. Wollacott, Lance M. Westerhoff, and Kenneth M. Merz Jr.
Reference: Drug Discovery Today. 2007, 12:17-18, 725-731. (see link for full paper).
Authors: Kaushik Raha, Martin B. Peters, Bing Wang, Ning Yu, Andrew M. Wollacott, Lance M. Westerhoff, and Kenneth M. Merz Jr.
Reference: Drug Discovery Today. 2007, 12:17-18, 725-731. (see link for full paper).
Understanding the Substrate Selectivity and the Product Regioselectivity of Orf2-Catalyzed Aromatic Prenylations
January 18, 2007
Abstract: Orf2, a recently
identified prenyltransferase of aromatic natural
products, displays relaxed substrate selectivity and
interesting product regioselectivity. This gives rise
to the opportunity to engineer the active site to
tune the functionality of terpenoids for therapeutic
applications. The structural basis of substrate
binding has been determined, but the source of the
observed substrate selectivity and product
regioselectivity cannot be completely understood on
the basis of the static picture that the crystal
structures of Orf2 and its complexes afford. The
electron density and B-factors of the substrates,
particularly those of 1,6-dihydroxynaphthalene,
suggest significant conformational fluctuation in the
Orf2 binding site. We thoroughly explored the binding
of 1,6-dihydroxynaphthalene and quantitatively
evaluated the relative free energies of three binding
states that we identified in terms of a
two-dimensional potential of mean force. The
available experimental orientation, which gives the
major prenylated product of 1,6-dihydroxynaphthalene,
corresponds to the global free energy minimum. Two
alternative binding states were identified on the
calculated free energy surface, and both are readily
accessible at 300 K. The alternative binding
conformations were extracted from the potential of
mean force calculation and were subjected to further
validation against the experimental X-ray diffraction
data using a refinement protocol supplemented with a
hybrid quantum mechanical and molecular mechanical
energy function. The agreement was excellent as
indicated by the R and Rfree factors that were
comparable to that obtained for the published
orientation using a similar protocol. These binding
states are the origin of the selectivity and
regioselectivity in Orf2-catalyzed aromatic
prenylations. Our analyses also suggest that Ser214
and Tyr288, forming hydrogen bonds with the
alternative binding states of
1,6-dihydroxynaphthalene and flaviolin, are good
candidates for site-directed mutagenesis, and
changing them to, for example, their hydrophobic
counterparts would affect the substrate selectivity
and product regioselectivity.
Authors: Guanglei Cui, Xue Li, and Kenneth M. Merz, Jr.
Reference: Biochemistry. 2007, 46(5), 1303-1311. (see link for full paper).
Authors: Guanglei Cui, Xue Li, and Kenneth M. Merz, Jr.
Reference: Biochemistry. 2007, 46(5), 1303-1311. (see link for full paper).
Assigning the Protonation States of the Key Aspartates in β-Secretase Using QM/MM X-ray Structure Refinement
June 07, 2006
Abstract: β-Secretase, aka
β-APP cleaving enzyme (BACE), is an aspartyl
protease that has been implicated as a key target in
the pathogenesis of Alzheimer's disease (AD). The
identification of the protonation states of the key
aspartates in -secretase is of great interest both in
understanding the reaction mechanism and in guiding
the design of drugs against AD. However, the
resolutions of currently available crystal structures
for BACE are not sufficient to determine the hydrogen
atom locations. We have assigned the protonation
states of the key aspartates using a novel method,
QM/MM X-ray refinement. In our approach, an energy
function is introduced to the refinement where the
atoms in the active site are modeled by quantum
mechanics (QM) and the other atoms are represented by
molecular mechanics (MM). The gradients derived from
the QM/MM energy function are combined with those
from the X-ray target to refine the crystal structure
of a complex containing BACE and an inhibitor. A
total number of 8 protonation configurations of the
aspartyl dyad were considered, and QM/MM X-ray
refinements were performed for all of them. The
relative stability of the refined structures was
scored by constructing the thermodynamic cycle using
the energetics calculated by fully quantum mechanical
self-consistent reaction field (QM/SCRF)
calculations. While all 8 refined structures fit the
observed electron density about equally well, we find
the monoprotonated configurations to be strongly
favored energetically, especially the configuration
with the inner oxygen of Asp32 protonated and the
hydroxyl of the inhibitor pointing toward Asp228. It
was also found that these results depend on the
constraints imposed by the X-ray data. We suggest
that one of the strengths of this approach is that
the resulting structures are a consensus of
theoretical and experimental data and remark on the
significance of our results in structure based drug
design and mechanistic studies.
Authors: Ning Yu, Seth A. Hayik, Bing Wang, Ning Liao, Charles H. Reynolds, and Kenneth M. Merz, Jr.
Reference: J. Chem. Theory Comput. 2006, 2(4), 1057-1069. (see link for full paper).
Authors: Ning Yu, Seth A. Hayik, Bing Wang, Ning Liao, Charles H. Reynolds, and Kenneth M. Merz, Jr.
Reference: J. Chem. Theory Comput. 2006, 2(4), 1057-1069. (see link for full paper).
Refinement of protein crystal structures using energy restraints derived from linear-scaling quantum mechanics
March 01, 2005
Abstract: A novel method is proposed
in which combined energy restraints derived from
linear-scaling semiempirical quantum mechanical (QM)
calculations and X-ray diffraction data are combined
to refine crystal structures of proteins. Its
performance has been tested on a small protein
molecule, bovine pancreatic trypsin inhibitor (BPTI).
The refinement involves minimization of the sum of a
geometric energy function and an X-ray target
function based on either the least-square residual or
the maximum-likelihood formalism. For comparison,
similar refinement runs have also been performed
using energy restraints derived from the force field
available in the Crystallography & NMR System
(CNS) program. The QM refinements were carried out
with weights that were varied by several orders of
magnitude and the optimal weights were identified by
observing the trend in the final free R values, QM
heats of formation and coordinate root-mean-square
deviations (r.m.s.d.s) from the crystal structure. It
is found that the QM weights are typically smaller
but generally on the same scale as the
molecular-mechanics (MM) weights for the respective
X-ray target functions. The crystallographic R, free
R, real-space R values and correlation coefficients
based on the structures refined with the energy
restraints derived from our QM calculations and Engh
and Huber parameters are comparable, suggesting that
the QM restraints are capable of maintaining
reasonable stereochemistry to a similar degree as the
force-field parameters. A detailed inspection of the
structures refined with the QM and MM energy
restraints reveals that one of the common differences
between them and the crystal structure is that the
strained bond angles in the crystal structure are
corrected after energetically restrained refinements.
Systematic differences in certain bond lengths
between the QM-refined structures and the statistical
averages of experimental structures have also been
observed and discussed.
Authors: Ning Yu, Hemant P. Yennawar, and Kenneth M. Merz, Jr.
Reference: Acta Cryst. D. 2005, 61(3), 322-332. (see link for full paper).
Authors: Ning Yu, Hemant P. Yennawar, and Kenneth M. Merz, Jr.
Reference: Acta Cryst. D. 2005, 61(3), 322-332. (see link for full paper).
Theoretical study of the electron density distributions of glycyl-L-threonine dihydrate
December 10, 2004
Abstract: The electron density
distributions of a small dipeptide molecule,
glycyl-L-threonine dihydrate whose structure has
recently been determined using accurate
single-crystal X-ray diffraction to a resolution of
0.43A ˚ , have been studied theoretically at the
semiempirical level and Hartree–Fock level
employing varying sizes of basis sets up to the
valence triple-zeta plus polarization level. Both
theoretical structure factors and dynamic deformation
maps are computed using the electronic wavefunctions
derived in vacuo using MO methods. General agreement
between theory and experiment is good and improves
when larger basis sets are employed. The dynamic
theoretical structure factors calculated at the
HF/6-311G** level for all the experimentally observed
reflection angles fit the experimental ones better
with about a 0.01 decrease in the Rw value compared
to the Independent Atom Model (IAM). The
semiempirical MNDO density performs consistently
better than the minimal basis Hartree–Fock
density, but is shown to be slightly inferior to the
Hartree–Fock density employing split-valence
basis sets. The partial atomic charges are also
computed and compared to experimental charges derived
from the kappa refinement procedure.
Authors: Ning Yu and Kenneth M. Merz, Jr.
Reference: Mol. Phys. 2004, 102, 2545-2557. (see link for full paper).
Authors: Ning Yu and Kenneth M. Merz, Jr.
Reference: Mol. Phys. 2004, 102, 2545-2557. (see link for full paper).