Here, the comparisons of performance of nine consensus scoring strategies, in which multiple scoring functions were used simultaneously to evaluate candidate structures for a protein-ligand complex, in combination with nine scoring functions (FlexX score, GOLD score, PMF score, DOCK score, ChemScore, DrugScore, PLP, ScreenScore, and X-Score), were carried out. The systematic naming of consensus scoring strategies was also proposed. Our results demonstrate that choosing the most appropriate type of consensus score is essential for model selection in computational docking; although the vote-by-number strategy was an effective selection method, the number-by-number and rank-by-number strategies were more appropriate when computational tractability was taken into account. By incorporating these consensus scores into the FlexX program, reasonable complex models can be obtained more efficiently than those selected by independent FlexX scores. These strategies might also improve the scoring of other docking programs, and more-effective structure-based drug design should result from these improvements.
In the present study we identified the epitopes of antibodies against amyloid beta-(1-42)-peptide (Abeta1-42): 4G8 reacted with peptides corresponding to residues 17-21, 6F/3D reacted with peptides corresponding to residues 9-14, and anti 5-10 reacted with peptides corresponding to residues 5-10. The study also yielded some insight into the Abeta1-42 structures resulting from differences in pH. An ELISA study using monoclonal antibodies showed that pH-dependent conformational changes occur in the 6F/3D and 4G8 epitopes modified at pH 4.6, but not in the sequences recognized by anti 1-7 and anti 5-10. This was unique to Abeta1-40 and Abeta1-42 and did not occur with Abeta1-16 or Abeta17-42. The reactivity profile of 4G8 was not affected by blockage of histidine residues of pH-modified Abeta1-40 and Abeta1-42 with diethyl pyrocarbonate; however, the mutant [Gln(11)]Abeta1-40 abrogated the unique pH-dependence towards 4G8 observed with Abeta1-40. These findings suggest that these epitopes are cryptic at pH 4.6, and that Glu(11) is responsible for the changes. We suggest that the abnormal folding of 6F/3D epitope affected by pH masked the 4G8 epitope. A study of the binding of metal ions to Abeta1-42 suggested that Cu(2+) and Zn(2+) induced a conformational transition around the 6F/3D region at pH 7.4, but did not affect the region when it was modified at pH 4.6. However, Fe(2+) had no effect, irrespective of pH. Abeta modified at pH 4.6 appeared to be relatively resistant to proteinase K compared with Abetas modified at pH 7.4, and the former might be preferentially internalized and accumulated in a human glial cell. Our findings suggest the importance of microenvironmental changes, such as pH, in the early stage of formation of Abeta aggregates in the glial cell.
We designed and synthesized small-molecule activator protein-1 (AP-1) inhibitors based on a three-dimensional (3D) pharmacophore model that we had previously derived from a cyclic decapeptide exhibiting AP-1 inhibitory activity. New AP-1 inhibitors with a 1-thia-4-azaspiro[4.5]decane or a benzophenone scaffold, which inhibit the DNA-binding and transactivation activities of AP-1, were discovered using a "lead hopping" procedure. An additional investigation of the benzophenone analogues confirmed the reliability of the pharmacophore model, its utility to discover AP-1 inhibitors, and the potency of the benzophenone derivatives as a lead series.
The transcription factor activator protein-1 (AP-1) is an attractive target for the treatment of immunoinflammatory diseases, such as rheumatoid arthritis. Using the three-dimensional (3D) X-ray crystallographic structure of the DNA-bound basic region leucine zipper (bZIP) domains of AP-1, new cyclic disulfide decapeptides were designed and synthesized that demonstrated AP-1 inhibitory activities. The most potent inhibition was exhibited by Ac-c[Cys-Gly-Gln-Leu-Asp-Leu-Ala-Asp-Gly-Cys]-NH2 (peptide 2) (IC50 = 8 microM), which was largely due to the side chains of residues 3-6 and 8 of the peptide, as shown by an alanine scan. To provide structural information about the biologically active conformation of peptide 2, the structures of peptide 2 derived from molecular dynamics simulation of the bZIP-peptide 2 complex with explicit water molecules were superimposed on the solution structures derived from NMR measurements of peptide 2 in water. These showed a strong structural similarity in the backbones of residues 3-7 and enabled the construction of a 3D pharmacophore model of AP-1 binding compounds, based on the chemical and structural features of the amino acid side chains of residues 3-7 in peptide 2.
The integration of reverse transcribed proviral DNA into a host genome is an essential event in the human immunodeficiency virus type 1 (HIV-1) replication life cycle. Therefore, the viral enzyme integrase (IN), which plays a crucial role in the integration event, has been an attractive target of anti-retroviral drugs. Several IN inhibitory compounds have been reported previously, yet none has been successful in clinical use. To find a new, more successful IN inhibitor, we screened a diverse library of 12 000 small molecular weight compounds randomly by in vitro strand-transfer assay. We identified a series of substituted carbazoles that exhibit strand-transfer inhibitory activity at low micromolar concentrations. Of these, the most potent compound exhibited an IC50 of 5.00+/-3.31 microM (CA-0). To analyse the structural determinants of strand-transfer inhibitory activity of the carbazole derivatives, we selected 23 such derivatives from our compound library and performed further analyses. Of these 23 compounds, six showed strong strand-transfer inhibition. The inhibition kinetics analyses and ethidium bromide displacement assays indicated that the carbazole derivatives are competitive inhibitors and not intercalators. An HeLa4.5/LTR-nEGFP cell line was employed to evaluate in vitro virus replication inhibition of the carbazole derivatives, and IC50 levels ranged from 0.48-1.52 microM. Thus, it is possible that carbazole derivatives, which possess structures different from previously-reported IN inhibitors, may become novel lead compounds in the development of IN inhibitors.
In the present study we identified the epitopes of antibodies against amyloid β-(1–42)-peptide (Aβ1–42): 4G8 reacted with peptides corresponding to residues 17–21, 6F/3D reacted with peptides corresponding to residues 9–14, and anti 5-10 reacted with peptides corresponding to residues 5–10. The study also yielded some insight into the Aβ1–42 structures resulting from differences in pH. An ELISA study using monoclonal antibodies showed that pH-dependent conformational changes occur in the 6F/3D and 4G8 epitopes modified at pH 4.6, but not in the sequences recognized by anti 1-7 and anti 5-10. This was unique to Aβ1–40 and Aβ1–42 and did not occur with Aβ1–16 or Aβ17–42. The reactivity profile of 4G8 was not affected by blockage of histidine residues of pH-modified Aβ1–40 and Aβ1–42 with diethyl pyrocarbonate; however, the mutant [Gln11]Aβ1–40 abrogated the unique pH-dependence towards 4G8 observed with Aβ1–40. These findings suggest that these epitopes are cryptic at pH4.6, and that Glu11 is responsible for the changes. We suggest that the abnormal folding of 6F/3D epitope affected by pH masked the 4G8 epitope. A study of the binding of metal ions to Aβ1–42 suggested that Cu2+ and Zn2+ induced a conformational transition around the 6F/3D region at pH7.4, but did not affect the region when it was modified at pH4.6. However, Fe2+ had no effect, irrespective of pH. Aβ modified at pH 4.6 appeared to be relatively resistant to proteinase K compared with Aβs modified at pH7.4, and the former might be preferentially internalized and accumulated in a human glial cell. Our findings suggest the importance of microenvironmental changes, such as pH, in the early stage of formation of Aβ aggregates in the glial cell.
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