Optimal estimates of free energies from multistate nonequilibrium work data

We derive the optimal estimates of the free energies of an arbitrary number of thermodynamic states from nonequilibrium work measurements; the work data are collected from forward and reverse switching processes and obey a fluctuation theorem. The maximum likelihood formulation properly reweights all pathways contributing to a free energy difference and is directly applicable to simulations and experiments. We demonstrate dramatic gains in efficiency by combining the analysis with parallel tempering simulations for alchemical mutations of model amino acids.     

The origin of protein sidechain order parameter distributions

Previous work by Wand et al. (Nature 2001, 411, 501-504) showed that the NMR order parameters characterizing the amplitude of motion of protein side chains seemed to form a multimodal distribution. At the time, no detailed explanation of this at the molecular level was offered, yet three "classes" of motion were inferred. We have analyzed a larger published data set and found that, although the distribution is multimodal, the evidence for three classes is weak. More significantly, we have been able to provide a simple physical explanation for the distributions based on the results of molecular dynamics simulations. This result will aid in the interpretation of data from NMR dynamics experiments.     

Design, synthesis, and biological evaluation of HSP90 inhibitors based on conformational analysis of radicicol and its analogues

The molecular chaperone HSP90 is an attractive target for chemotherapy because its activity is required for the functional maturation of a number of oncogenes. Among the known inhibitors, radicicol, a 14-member macrolide, stands out as the most potent. A molecular dynamics/minimization of radicicol showed that there were three low energy conformers of the macrocycle. The lowest of these is the bioactive conformation observed in the cocrystal structure of radicicol with HSP90. Corresponding conformational analyses of several known analogues gave a good correlation between the bioactivity and the energy of the bioactive conformer, relative to other conformers. Based on this observation, a number of proposed analogues were analyzed for their propensity to adopt the bioactive conformation prior to synthesis. This led to the identification of pochonin D, a recently isolated secondary metabolite of Pochonia chlamydosporia, as a potential inhibitor of HSP90. Pochonin D was synthesized using polymer-bound reagents and shown to be nearly as potent an HSP90 inhibitor as radicicol.     

Simulation of conformational transitions by the restricted perturbation-targeted molecular dynamics method

A method for the simulation of conformational transitions is presented. The method, based on targeted molecular dynamics (TMD), limits the conformational change at each molecular dynamics step to a fixed size, that minimizes the root mean square deviation from the target. The method is more efficient than standard TMD and yields lower energy pathways, but, like the TMD method, requires only a single molecular dynamics simulation. Test calculations and comparisons with standard TMD calculations for the alanine dipeptide with the analytic continuum electrostatics implicit solvent model are presented.     

Correlation energy contribution to the ammonia inversion barrier

Diagrammatic many-body double-perturbation theory is used to study the correlation contribution to the inversion barrier in ammonia. With a one-center solution as the zero-order function, the perturbation energy diagrams are shown to be of three types: Hartree-Fock diagrams (geometry dependent), atom-like correlation diagrams (geometry independent) and non-atom-like correlation diagrams (geometry dependent). Only the third class of diagrams enter into the correlation correction to the barrier. These diagrams, which appear first in third order, contribute a small fraction (1%) of the total correlation energy. We estimate from them that the correlation energy contribution to the barrier is small (less than 10% of the total barrier), although the bond length dependence of the correlation correction is such that it is difficult to obtain an exact value for it.     

Design of dimerization inhibitors of HIV-1 aspartic proteinase: A computer-based combinatorial approach

Inhibition of dimerization to the active form of the HIV-1 aspartic proteinase (HIV-1 PR) may be a way to decrease the probability of escape mutations for this viral protein. The Multiple Copy Simultaneous Search (MCSS) methodology was used to generate functionality maps for the dimerization interface of HIV-1 PR. The positions of the MCSS minima of 19 organic fragments, once postprocessed to take into account solvation effects, are in good agreement with experimental data on peptides that bind to the interface. The MCSS minima combined with an approach for computational combinatorial ligand design yielded a set of modified HIV-1 PR C-terminal peptides that are similar to known nanomolar inhibitors of HIV-1 PR dimerization. A number of N-substituted 2,5-diketopiperazines are predicted to be potential dimerization inhibitors of HIV-1 PR.