Structure activity relationship towards design of cryptosporidium specific thymidylate synthase inhibitors.

Cryptosporidiosis is a human gastrointestinal disease caused by protozoans of the genus Cryptosporidium, which can be fatal in immunocompromised individuals. The essential enzyme, thymidylate synthase (TS), is responsible for de novo synthesis of deoxythymidine monophosphate. The TS active site is relatively conserved between Cryptosporidium and human enzymes. In previous work, we identified compound 1, (2-amino-4-oxo-4,7-dihydro-pyrrolo[2,3-d]pyrimidin-methyl-phenyl-l-glutamic acid), as a promising selective Cryptosporidium hominis TS (ChTS) inhibitor. In the present study, we explore the structure-activity relationship around 1 glutamate moiety by synthesizing and biochemically evaluating the inhibitory activity of analogues against ChTS and human TS (hTS). X-Ray crystal structures were obtained for compounds bound to both ChTS and hTS. We establish the importance of the 2-phenylacetic acid moiety methylene linker in optimally positioning compounds 23, 24, and 25 within the active site. Moreover, through the comparison of structural data for 5, 14, 15, and 23 bound in both ChTS and hTS identified that active site rigidity is a driving force in determining inhibitor selectivity.

Antiviral drug design: computational analyses of the effects of the L100I mutation for HIV-RT on the binding of NNRTIs.

Monte Carlo/free energy perturbation (MC/FEP) calculations were used to evaluate the binding free energy change for HIV-RT/inhibitor complexes upon L100I mutation. Inhibitor size and flexibility adjacent to hydrogen-bonding sites are evident as important considerations for antiviral drug design.

Estimation of binding affinities for HEPT and nevirapine analogues with HIV-1 reverse transcriptase via Monte Carlo simulations.

The interactions and energetics associated with the binding of 20 HEPT and 20 nevirapine nonnucleoside inhibitors of HIV-1 reverse transcriptase (RT) have been explored in an effort to establish simulation protocols and methods that can be used in the development of more effective anti-HIV drugs. Using crystallographic structures as starting points, all 40 inhibitors were modeled in the bound and unbound states via Monte Carlo (MC) statistical mechanics methods. Potentially useful descriptors of binding affinity were configurationally averaged for each inhibitor during the MC simulations, and correlations were sought with reported experimental activities. A viable regression equation was obtained using only four descriptors to correlate the 40 experimental activities with an r(2)() of 0.75 and cross-validated q(2)() of 0.69. The computed activities show a rmsd of 0.94 kcal/mol in comparison with experiment and an average unsigned error of 0.69 kcal/mol. The MC results reveal three physically reasonable parameters that control the binding affinities: (1) loss of hydrogen bonds with the inhibitor is unfavorable, (2) burial of hydrophobic surface area is favorable, and (3) a good geometrical fit without steric clashes is needed for the protein-inhibitor complex. It is gratifying that the corresponding descriptors are statistically the most important quantities for determining the anti-HIVRT activity for the 40 compounds. Representative examples are also given in which structural and thermodynamic information from the MC simulations is used to help understand binding differences for related compounds. A key pi-type hydrogen bond has been identified between secondary-amide nevirapine analogues and Tyr188A of HIVRT that explains their otherwise surprising activity and the ineffectiveness of nevirapine against the Y188C mutant.

Monte Carlo calculations on HIV-1 reverse transcriptase complexed with the non-nucleoside inhibitor 8-Cl TIBO: contribution of the L100I and Y181C variants to protein stability and biological activity.

A computational model of the non-nucleoside inhibitor 8-Cl TIBO complexed with HIV-1 reverse transcriptase (RT) was constructed in order to determine the binding free energies. Using Monte Carlo simulations, both free energy perturbation and linear response calculations were carried out for the transformation of wild-type RT to two key mutants, Y181C and L100I. The newer linear response method estimates binding free energies based on changes in electrostatic and van der Waals energies and solvent-accessible surface areas. In addition, the change in stability of the protein between the folded and unfolded states was estimated for each of these mutations, which are known to emerge upon treatment with the inhibitor. Results from the calculations revealed that there is a large hydrophobic contribution to protein stability in the native, folded state. The calculated absolute free energies of binding from both the linear response, and also the more rigorous free energy perturbation method, gave excellent agreement with the experimental differences in activity. The success of the relatively rapid linear response method in predicting experimental activities holds promise for estimating the activity of the inhibitors not only against the wild-type RT, but also against key protein variants whose emergence undermines the efficacy of the drugs.

Estimation of the binding affinities of FKBP12 inhibitors using a linear response method.

A series of non-immunosuppressive inhibitors of FK506 binding protein (FKBP12) are investigated using Monte Carlo statistical mechanics simulations. These small molecules may serve as scaffolds for chemical inducers of protein dimerization, and have recently been found to have FKBP12-dependent neurotrophic activity. A linear response model was developed for estimation of absolute binding free energies based on changes in electrostatic and van der Waals energies and solvent-accessible surface areas, which are accumulated during simulations of bound and unbound ligands. With average errors of 0.5 kcal/mol, this method provides a relatively rapid way to screen the binding of ligands while retaining the structural information content of more rigorous free energy calculations.

Prediction of binding affinities for TIBO inhibitors of HIV-1 reverse transcriptase using Monte Carlo simulations in a linear response method.

Monte Carlo (MC) simulations in combination with a linear response approach were used to estimate the free energies of binding for a series of 12 TIBO nonnucleoside inhibitors of HIV-1 reverse transcriptase. Separate correlations were made for the R6 and S6 absolute conformations of the inhibitors, as well as for the analogous N6-monoprotonated species. Models based upon the neutral unbound inhibitors produced overall better fits to experimental values than did those using the protonated unbound inhibitors, with only slight differences between the neutral R6 and S6 cases. The best results were obtained with a three-parameter linear response equation containing van der Waals (alpha), electrostatic (beta), and solvent accessible surface area (SASA, gamma) terms. The averaged (R6 and S6) rms error was approximately 0.88 kcal/mol for the observed range of 4.06 kcal/mol in inhibitor activities. The averaged values of alpha, beta, and gamma were -0.150, 0.114, and 0. 0286, respectively. Omission of the alpha term gave beta 0.152 and gamma 0.022 with a rms of 0.92. The unweighted van der Waals components were found to be highly attractive but failed to correlate well across the series of inhibitors. Contrastingly, while the electrostatic components are all repulsive, they show a direct correlation with inhibitor activity as measured by DeltaGbinding. The role of gamma is primarily to produce an overall negative binding energy, and it can effectively be replaced with a negative constant. During the MC simulations of the unbound solvated inhibitors, the R6 and S6 absolute conformations do not interconvert due to the formation of a favorable hydrogen bond to solvent. In the complex, however, interconversion of these conformations of the inhibitor is observed during the course of the simulations, a phenomenon which is apparently not observed in the crystalline state of the complex. Hydrogen bonding of the inhibitor to the backbone NH of K101 and the lack of such an interaction with the C=O of K101 or with solvent correlate with enhanced activity, as does the ability to assume a number of different orientations of the inhibitor dimethylallyl moiety with respect to residues Y181 and Y188 while retaining contact with W229. Overall, the use of a combination of MC simulation with a linear response method shows promise as a relatively rapid means of estimating inhibitor activities. This approach should be useful in the preliminary evaluation of potential modifications to known inhibitors to enhance activity.

Molecular dynamics simulations of the unfolding of barnase in water and 8 M aqueous urea.

Molecular dynamics simulations of barnase have been conducted both in water and in 8 M urea solution for 500 ps at 25 degrees C and for 2000 ps at 85 degrees C. The final structure of the aqueous simulation at room temperature matches closely the structure obtained by NMR and the experimentally observed protections from isotopic exchange. The comparison of the structures generated by the aqueous simulation at 85 degrees C reveals a trajectory composed of groups of geometrically related structures separated by narrow regions of rapid change in structure. The first of these regions displays changes in backbone rmsd to the crystal structure and solvent-accessible area suggestive of a transition state, while the properties observed during the final 300 ps of the simulation are consistent with a stable intermediate. These assignments were confirmed by calculation of the "progress along the reaction coordinate" phi-values using an empirical equation based on a linear response method. The pathway of unfolding defined in this fashion agrees well with the experimental results of site-directed mutagenesis in terms of secondary structure content of the transition state and the intermediate and reproduces the relative stability of the different elements of secondary structure. The results of the simulations in urea suggest a mechanism at the molecular level for its well-known enhancement of the denaturation of proteins. The analysis of radial distribution functions shows that the first solvation shell of the protein is enriched in urea relative to the bulk solvent. The displacement of water molecules allows greater exposure of hydrophobic side chains, as witnessed particularly in the analysis of solvent-accessible surface areas at the higher temperature. Almost all urea molecules in the first shell form at least one hydrogen bond with the protein. They provide a more favorable environment for accommodation of the remaining water molecules, and they facilitate the separation of secondary structure elements by acting as a bridge between groups previously forming intraprotein hydrogen bonds.

Mechanism for the rotamase activity of FK506 binding protein from molecular dynamics simulations.

Molecular dynamics (MD) and free energy perturbation (FEP) methods are used to study the binding and mechanism of isomerization of a tetrapeptide (AcAAPFNMe) by FK506 binding protein (FKBP). Detailed structures are predicted for the complexes of FKBP with the peptide in both ground-state and transition-state forms. The results support a mechanism of catalysis by distortion, where a large number of nonbonded interactions act together to stabilize preferentially the twisted transition state. The two most important groups for the catalysis are suggested to be Trp59 and Asp37, but several other groups are identified as directly or indirectly involved in the binding and catalysis. However, the structural results do not support the notion that the keto oxygen of the immunosuppressive agents FK506 and rapamycin mimics the oxygen for the twisted peptide bond in the FKBP-transition-state complex.

Molecular dynamics simulations of the unfolding of apomyoglobin in water.

Molecular dynamics simulations of apomyoglobin have been conducted in aqueous solution for 350 ps at 25 degrees C and for 500 ps in two different runs at 85 degrees C. The structures obtained at the higher temperature display properties similar to those of molten globules. Close agreement is obtained between the computed structural models and experimental data on the helical content of both native apomyoglobin and the low-pH unfolding intermediate. The results also suggest explanations for the surprising observations on the effects of mutations at the interface of the A, G, and H helices. Detailed analyses of the final structures and the unfolding pathways at high temperature clearly show that the most stable alpha-helical regions are those in contact with other helices.

Molecular dynamics simulations of the unfolding of an alpha-helical analogue of ribonuclease A S-peptide in water.

Molecular dynamics simulations of the S-peptide analogue AETAAAKFLREHMDS have been conducted in aqueous solution for 300 ps at 278 K and for 500 ps in two different runs at 358 K. The results show agreement with experimental observations in that at low temperature, 5 degrees C, the helix is stable, while unfolding is observed at 85 degrees C. In the low-temperature simulation a solvent-separated ion pair was formed between Glu-2 and Arg-10, and the side chain of His-12 reoriented toward the C-terminal end of the alpha-helix. Detailed analyses of the unfolding pathways at high temperature have also revealed that the formation or disappearance of main-chain helical hydrogen bonds occurs frequently through an alpha in equilibrium with 3(10) in equilibrium with no hydrogen bond sequence.