14 research outputs found
Defining and simulating open-ended novelty: requirements, guidelines, and challenges
The open-endedness of a system is often defined as a continual production of novelty. Here we pin down this concept more fully by defining several types of novelty that a system may exhibit, classified as variation, innovation, and emergence. We then provide a meta-model for including levels of structure in a system’s model. From there, we define an architecture suitable for building simulations of open-ended novelty-generating systems and discuss how previously proposed systems fit into this framework. We discuss the design principles applicable to those systems and close with some challenges for the community
A Novel Similarity Measure to Induce Semantic Classes and Its Application for Language Model Adaptation in a Dialogue System
Dynamic statistical scaling in the Landau–de Gennes theory of nematic liquid crystals
We investigate the asymptotic behaviour of a correlation function associated
with a nematic liquid crystal system undergoing an isotropic-nematic phase
transition following an instantaneous change of temperature. Within the setting
of Landau-de Gennes theory, we confirm a hypothesis in the condensed matter
physics literature on the average self-similar behaviour of the correlation
function in the asymptotic regime at time infinity. In the final sections, we
comment on other possible scaling behaviour of the correlation function.Comment: 31 pages; minor typos corrected; references added; margin overspill
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Necessity, Futility and the Possibility of Defining Life are all Embedded in its Origin as a Punctuated-gradualism
Genetic and Pharmacological Inhibition of PDK1 in Cancer Cells: CHARACTERIZATION OF A SELECTIVE ALLOSTERIC KINASE INHIBITOR
Phosphoinositide-dependent kinase 1 (PDK1) is a critical activator of multiple prosurvival and oncogenic protein kinases and has garnered considerable interest as an oncology drug target. Despite progress characterizing PDK1 as a therapeutic target, pharmacological support is lacking due to the prevalence of nonspecific inhibitors. Here, we benchmark literature and newly developed inhibitors and conduct parallel genetic and pharmacological queries into PDK1 function in cancer cells. Through kinase selectivity profiling and x-ray crystallographic studies, we identify an exquisitely selective PDK1 inhibitor (compound 7) that uniquely binds to the inactive kinase conformation (DFG-out). In contrast to compounds 1–5, which are classical ATP-competitive kinase inhibitors (DFG-in), compound 7 specifically inhibits cellular PDK1 T-loop phosphorylation (Ser-241), supporting its unique binding mode. Interfering with PDK1 activity has minimal antiproliferative effect on cells growing as plastic-attached monolayer cultures (i.e. standard tissue culture conditions) despite reduced phosphorylation of AKT, RSK, and S6RP. However, selective PDK1 inhibition impairs anchorage-independent growth, invasion, and cancer cell migration. Compound 7 inhibits colony formation in a subset of cancer cell lines (four of 10) and primary xenograft tumor lines (nine of 57). RNAi-mediated knockdown corroborates the PDK1 dependence in cell lines and identifies candidate biomarkers of drug response. In summary, our profiling studies define a uniquely selective and cell-potent PDK1 inhibitor, and the convergence of genetic and pharmacological phenotypes supports a role of PDK1 in tumorigenesis in the context of three-dimensional in vitro culture systems