Mutations in the Src homology 2 (SH2)-containing protein-tyrosine phosphatase Shp2 (PTPN11) underlie half of the cases of the autosomal dominant genetic disorder Noonan syndrome, and somatic Shp2 mutations are found in several hematologic and solid malignancies. Earlier studies of small numbers of mutants suggested that disease-associated mutations cause constitutive (SH2 binding-independent) activation and that cancer-associated mutants are more active than those associated with Noonan syndrome. We have characterized a larger panel of Shp2 mutants and find that this "activity-centric" model cannot explain the behaviors of all pathogenic Shp2 mutations. Instead, enzymatic, structural, and mathematical modeling analyses show that these mutants can affect basal activation, SH2 domain-phosphopeptide affinity, and/or substrate specificity to varying degrees. Furthermore, there is no absolute correlation between the mutants' extents of basal activation and the diseases they induce. We propose that activated mutants of Shp2 modulate signaling from specific stimuli to a subset of effectors and provide a theoretical framework for understanding the complex relationship between Shp2 activation, intracellular signaling, and pathology.

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An analysis of chemical structures from several commercially available libraries of compounds is presented with a view of acquiring compounds for screening. The Jarvis−Patrick clustering method has been applied, using the MDL “keys” as structural descriptors. The nature of the MDL keys is examined in this context, some features of the clustering algorithm are discussed, and clustering statistics are presented.

A new method of rapid pharmacophore fingerprinting (PharmPrint method) has been developed. A basis set of 10,549 three-point pharmacophores has been constructed by enumerating several distance ranges and pharmacophoric features. Software has been developed to assign pharmacophoric types to atoms in chemical structures, generate multiple conformations, and construct the binary fingerprint according to the pharmacophores that result. The fingerprint is used as a descriptor for developing a quantitative structure-activity relationship (QSAR) model using partial least squares. An example is given using sets of ligands for the estrogen receptor (ER). The result is compared with previously published results on the same data to show the superiority of a full 3D, conformationally flexible approach. The QSAR model can be readily interpreted in structural/chemical terms. Further examples are given using binary activity data and some of our novel in-house compounds, which show the value of the model when crossing compound classes.

Human nociceptive voltage-gated sodium channel (Na v 1.7), a target of significant interest for the development of antinociceptive agents, is blocked by low nanomolar concentrations of (−)-tetrodotoxin(TTX) but not (+)-saxitoxin (STX) and (+)-gonyautoxin-III (GTX-III). These findings question the long-accepted view that the 1.7 isoform is both tetrodotoxin– and saxitoxin-sensitive and identify the outer pore region of the channel as a possible target for the design of Na v 1.7-selective inhibitors. Single- and double-point amino acid mutagenesis studies along with whole-cell electrophysiology recordings establish two domain III residues (T1398 and I1399), which occur as methionine and aspartate in other Na v isoforms, as critical determinants of STX and gonyautoxin-III binding affinity. An advanced homology model of the Na v pore region is used to provide a structural rationalization for these surprising results.