Abstract:A collection of small molecules (MW < 350 Da) was screened for binding to human factor Xa using saturation transfer difference NMR spectroscopy to detect binding. The NMR screening experiments identified four hits. Binding isotherms constructed from NMR linewidth data showed that the binding affinities of the hits were all in the 30-210 microM range. Competition binding experiments showed that three of the ligands were displaced by a known microM inhibitor of factor Xa. The success of the method for identifyin… Show more
A new hot spot-based design strategy using bioisostere replacement is reported to rationally design nonpeptidic small-molecule inhibitors for protein-protein interactions. This method is applied to design new potent inhibitors for β-catenin/T-cell factor (Tcf) interactions. Three hot spot regions of Tcf for binding to β-catenin were quantitatively evaluated; the key binding elements around K435 and K508 of β-catenin were derived; a bioisostere library was used to generate new fragments that can match the proposed critical binding elements. The most potent inhibitor, with a molecular weight of 230, has a Kd of 0.531 μM for binding to β-catenin and a Ki of 3.14 μM to completely disrupt β-catenin/Tcf interactions. The binding mode of the designed inhibitors was validated by the site-directed mutagenesis and structure-activity relationship (SAR) studies. This study provides a new approach to design new small-molecule inhibitors that bind to β-catenin and effectively disrupt β-catenin/Tcf interactions specific for canonical Wnt signaling.
A new hot spot-based design strategy using bioisostere replacement is reported to rationally design nonpeptidic small-molecule inhibitors for protein-protein interactions. This method is applied to design new potent inhibitors for β-catenin/T-cell factor (Tcf) interactions. Three hot spot regions of Tcf for binding to β-catenin were quantitatively evaluated; the key binding elements around K435 and K508 of β-catenin were derived; a bioisostere library was used to generate new fragments that can match the proposed critical binding elements. The most potent inhibitor, with a molecular weight of 230, has a Kd of 0.531 μM for binding to β-catenin and a Ki of 3.14 μM to completely disrupt β-catenin/Tcf interactions. The binding mode of the designed inhibitors was validated by the site-directed mutagenesis and structure-activity relationship (SAR) studies. This study provides a new approach to design new small-molecule inhibitors that bind to β-catenin and effectively disrupt β-catenin/Tcf interactions specific for canonical Wnt signaling.
“…Further discussion of the graphical fitting of linewidth data can be found in a report on the binding of sialyloligosaccharides to wheat germ agglutin, itself a popular subject of NMR protein-ligand studies [58]. The hits from an exploratory screening exercise to find new inhibitors of human factor Xa were followed by construction of 1 H NMR linewidth isotherms to establish quantitative binding affinities [59].…”
This article is a review with 83 references of the application of NMR to the measurement of the dissociation constants of protein-ligand complexes. After briefly discussing some general concepts of molecular stability, the text turns to consider which NMR parameters are reporters of complex formation. The available data treatments required to translate observed NMR effects into quantitative measurements of the stability of the complex in the form of the dissociation constant (KD) are introduced. Linearisation methods and curve fitting methods are explained in detail and are illustrated with examples drawn from recent reports of protein-small molecule interactions. Throughout the text examples of the commonly observed NMR parameters , 1 / T1 and 1 / T2 are drawn from biological studies of 1H, 31P, 19F 15N (and other nuclei). The advantages of NMR diffusion experiments as a measure of KD are considered. Some less frequently used NMR approaches, some new ideas and some non-general methods are grouped together in a miscellaneous section. The major sources of errors in the determination of KD are identified. This allows recommendations for optimal experimental set up. Options for dealing with strong binding are reviewed. Finally, the implications of abstracting KD data from high throughput screening experiments are considered and several different approaches to generate this data are discussed.
“…The fragment library used herein was specifically designed to include fragments from previous NMR 27 and X-ray screenings, moieties known to bind S1 and S4 pockets, and in-house designed fragments likely to exhibit affinity. In detail, the final focused library contained 42 compounds, divided into four overlapping sets (Figure 2).…”
Novel bioactive molecules can be rationally designed by growing and linking small fragments. Because fragments are fast and promiscuous, it is common to have contradictory hit results between different experimental screening techniques. Here, we simultaneously determine fragment binding poses, affinities, and kinetics on a focused library of 42 fragments against the serine protease factor Xa using multimillisecond molecular dynamics simulations. We predict experimental poses of 12 over 15 S1 crystal structures, and affinities are recovered for 4 out of 6. A kinetic map of protein cavities is computed in terms of on- and off-rates as well as insights into secondary ligand poses. The results suggest that the approach can be useful to recapitulate discordant fragment screening data.
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