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  • 1
    Title: Monte Carlo methods in chemical physics; 105
    Contributer: Ferguson, David M. , Siepmann, J. Ilja , Truhlar, Donald G.
    Publisher: Chichester u.a. :Wiley,
    Year of publication: 1999
    Pages: 555 S.
    Series Statement: Advances in chemical physics 105
    Type of Medium: Book
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  • 2
    Electronic Resource
    Electronic Resource
    s.l. : American Chemical Society
    Journal of medicinal chemistry 34 (1991), S. 2654-2659 
    ISSN: 1520-4804
    Source: ACS Legacy Archives
    Topics: Chemistry and Pharmacology
    Type of Medium: Electronic Resource
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  • 3
    Electronic Resource
    Electronic Resource
    College Park, Md. : American Institute of Physics (AIP)
    The Journal of Chemical Physics 99 (1993), S. 10086-10087 
    ISSN: 1089-7690
    Source: AIP Digital Archive
    Topics: Physics , Chemistry and Pharmacology
    Notes: Molecular dynamics free energy simulations have been performed on three solvated systems to examine the potential benefits of Bennett's acceptance ratio (AR) method [Bennett, J. Comput. Phys. 22, 245 (1976)], as compared to standard statistical perturbation techniques (FEP). The AR sampling equation has been implemented along with double-ended FEP sampling to calculate the relative solvation free energy of neon/nothing, neon/TIP3P-water and phenol/benzene in periodic TIP3P water. A histogram method is also introduced to calculate the overlap in the double-ended samples 〈E1−E0〉0 and 〈E0−E1〉1 from the density functions, p0(ΔE) and p1(ΔE), allowing window increments (δλ) to be correlated with % overlap and accuracy in the calculations. This relatively new concept is based on the fact that accuracy in both AR and FEP methods can be shown to depend on the overlap. The results indicate that the AR methodology has some advantages for calculating free energies when sample sizes are limited and minimal overlap exists in the ensemble samples at each window, mainly in reductions to the statistical errors. However, as more extensive simulations revealed, if the overlap in the density functions is increased (through reductions in window sizes), the simple FEP averages and variances approach near parity with the AR "best estimate'' results, indicating that the methods are effectively the same; with the caveat of adequate sampling.
    Type of Medium: Electronic Resource
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  • 4
    ISSN: 1520-5126
    Source: ACS Legacy Archives
    Topics: Chemistry and Pharmacology
    Type of Medium: Electronic Resource
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  • 5
    Electronic Resource
    Electronic Resource
    s.l. : American Chemical Society
    Journal of the American Chemical Society 111 (1989), S. 4371-4378 
    ISSN: 1520-5126
    Source: ACS Legacy Archives
    Topics: Chemistry and Pharmacology
    Type of Medium: Electronic Resource
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  • 6
    Electronic Resource
    Electronic Resource
    s.l. : American Chemical Society
    Journal of the American Chemical Society 114 (1992), S. 6555-6556 
    ISSN: 1520-5126
    Source: ACS Legacy Archives
    Topics: Chemistry and Pharmacology
    Type of Medium: Electronic Resource
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  • 7
    ISSN: 0948-5023
    Keywords: Keywords: Helix-helix interaction ; proline-containing helices ; bacteriorhodopsin ; G protein-coupled receptor.
    Source: Springer Online Journal Archives 1860-2000
    Topics: Chemistry and Pharmacology
    Notes: Abstract A sequence analysis and comparison of transmembrane helices in bacteriorhodopsin (BR) and G protein-coupled receptors (GPCRs) is presented to identify potential regions of homology across protein families. The results show a common pattern of residues is conserved within the interhelical contact regions of BR that fit a knob-into-hole structural motif previously postulated for globular proteins and photosynthetic reaction centers. Based on an alignment of conserved prolines in transmembrane helices, it is inferred that analogous helix packing arrangements are possible in the rhodopsin-like GPCRs. Molecular models of GPCR helices V and VI indicate these interactions occur between aromatic and hydrophobic residues flanking the highly conserved prolines in these sequences. A similar packing arrangement is shown to occur in the X-ray structure of the melittin which also displays a unique pairing of proline-linked helices. The contact pattern identified is further applied to predict the packing of pairs of proline-containing helices in the pheromone-like and cAMP GPCRs. A potential role in stabilizing structure formation is also suggested for the contacts. The results and conclusions are supported by recent biophysical studies of zinc binding to kappa-opioid receptor mutants.
    Type of Medium: Electronic Resource
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  • 8
    Electronic Resource
    Electronic Resource
    Springer
    Journal of global optimization 4 (1994), S. 209-227 
    ISSN: 1573-2916
    Keywords: Protein conformation ; molecular mechanics ; conformational searching
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mathematics
    Notes: Abstract The conformational space of two protein structures has been examined using a stochastic search method in an effort to locate the global minimum conformation. In order to reduce this optimization problem to a tractable level, we have implemented a simplified force field representation of the protein structure that drastically reduces the degrees of freedom. The model replaces each ammo acid (containing many atoms) with a single sphere centered on the Cα position. These spheres are connected by virtual bonds, producing a “string of beads” model of the peptide chain. This model has been coupled with our stochastic search method to globally optimize the conformation of two common structural motifs found in proteins, a 22-residue α-helical hairpin and a 46-residue β-barrel. The search method described further reduces the optimization problem by taking advantage of the rotational isomerisms associated with molecular conformations and stochastically explores the energy surface using internal, torsional degrees of freedom. The approach proved to be highly efficient for globally optimizing the conformation of the α-helical hairpin and β-barrel structure on a moderately powered workstation. The results were further verified by applying variations in the search strategy that probed the low energy regions of conformational space near the suspected global minimum. Since this method also provides information regarding the low energy conformers, we have presented an analysis of the structures populated, and brief comparisons with other work. Finally, we applied the method to globally optimize the conformation of a 9-residue peptide fragment using a popular all-atom representation and successfully located the global minimum consistent with results from previous work.
    Type of Medium: Electronic Resource
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  • 9
    Electronic Resource
    Electronic Resource
    New York, NY : Wiley-Blackwell
    Proteins: Structure, Function, and Genetics 28 (1997), S. 217-226 
    ISSN: 0887-3585
    Keywords: homology modeling ; theta class ; glutathione S-transferase ; DM11 ; Chemistry ; Biochemistry and Biotechnology
    Source: Wiley InterScience Backfile Collection 1832-2000
    Topics: Medicine
    Notes: A three-dimensional structural model of the dichloromethane dehalogenase (DCMD) from Methylophilus sp. DM11 is constructed based on sequence similarities to the glutathione S-transferases (GSTs). To maximize sequence identity and minimize gaps in the alignment, a hybrid approach is used that takes advantage of the increased homology found between DM11 and domain I of the sheep blowfly θ class GST (residues 1-79) and domain II of the human α class GST (residues 81-222). The resulting structure has Cα root mean square deviations of 1.16 Å in domain I and 1.83 Å in domain II from the template GSTs, which compare well to those seen in other GST interclass comparisons. The model is further applied to explore the structural basis for substrate binding and catalysis. A conserved network of hydrogen bonds is described that binds glutathione to the G site, placing the thiol group in a suitable location for nucleophilic attack of dichloromethane. A mechanism is proposed that involves activation through a hydrogen bond interaction between Ser12 and glutathione, similar to that found in the θ-GSTs. The model also demonstrates how aromatic residues in the hydrophobic site (H site) could play a role in promoting catalysis: His116 and Trp117 are ideally situated to accept a growing negative charge on a chlorine of dichloromethane, stabilizing displacement. This scheme is consistent with experimental results of single-point mutations and comparisons with other GST structures and mechanisms. Proteins 28:217-226, 1997. © 1997 Wiley-Liss Inc.
    Additional Material: 6 Ill.
    Type of Medium: Electronic Resource
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  • 10
    Electronic Resource
    Electronic Resource
    New York, NY [u.a.] : Wiley-Blackwell
    Journal of Computational Chemistry 13 (1992), S. 585-594 
    ISSN: 0192-8651
    Keywords: Computational Chemistry and Molecular Modeling ; Biochemistry
    Source: Wiley InterScience Backfile Collection 1832-2000
    Topics: Chemistry and Pharmacology , Computer Science
    Notes: We have derived alternative expressions for computing the energies and forces associated with angle bending and torsional energy terms commonly used in molecular mechanics and molecular dynamics computer programs. Our expressions address the problems of singularities that are intrinsic in popular angle energy functions and that occur from other chain rule derivations of force expressions. Most chain rule derivations of expressions for Cartesian forces due to angle energies make use of relations such as \documentclass{article}\pagestyle{empty}\begin{document}$$ \frac{{\partial E}}{{\partial x}} = \frac{{\partial E}}{{\partial \phi }}\frac{{\partial \phi }}{{\partial \cos \phi }}\frac{{\partial \cos \phi }}{{\partial x}} $$\end{document} where φ is a bond or torsion angle, E(φ) is energy, and ∂/∂x represents a derivative with respect to some Cartesian coordinate. This expression leads to singularities from the middle term, -1/sin φ, when φ is 0 or π. This is a problem that prevents the use of torsional energy expressions that have phase angles, φ°, other than 0 or π, such as in E(φ) = κ[1 + cos(nφ - phsi;°)]. Our derivations make use of a different, but equivalent, form of the chain rule: \documentclass{article}\pagestyle{empty}\begin{document}$$ \frac{{\partial E}}{{\partial x}} = \frac{{\partial E}}{{\partial \phi }}\frac{{\partial \phi }}{{\partial x}} $$\end{document} This form still possesses singularities for the bond angle forces since the last factor is undefined when φ is 0 or π. However, the alternate form may be used to great advantage for the torsional angle forces where no such problem arises. The new expressions are necessary if one desires the use of torsional energy expressions with general phase angles. Even for energy expressions in common use, i.e., with phase angles of 0 or π, our force expressions are as computationally efficient as the standard ones. The new expressions are applicable to all molecular simulations that employ restrained, or phase-shifted, torsional angle energy expressions.
    Additional Material: 2 Ill.
    Type of Medium: Electronic Resource
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