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1.
PLoS One ; 16(4): e0248784, 2021.
Artigo em Inglês | MEDLINE | ID: mdl-33822805

RESUMO

We introduce a new experimental approach to measuring the effects of health insurance policy alternatives on behavior and health outcomes over the life course. In a virtual environment with multi-period lives, subjects earn virtual income and allocate spending, to maximize utility, which is converted into cash payment. We compare behavior across age, income and insurance plans-one priced according to an individual's expected cost and the other uniformly priced through employer-implemented cost sharing. We find that 1) subjects in the employer-implemented plan purchased insurance at higher rates; 2) the employer-based plan reduced differences due to income and age; 3) subjects in the actuarial plan engaged in more health-promoting behaviors, but still below optimal levels, and did save at the level required, so did realize the full benefits of the plan. Subjects had more difficulty optimizing choices in the Actuarial treatment, because it required more long term planning and evaluating benefits that compounded over time. Contrary, to model predictions, the actuarial priced insurance plan did not increase utility relative to the employer-based plan.


Assuntos
Seguro Saúde/economia , Seguro Saúde/estatística & dados numéricos , Seguro Saúde/tendências , Custo Compartilhado de Seguro/métodos , Custo Compartilhado de Seguro/tendências , Planos de Assistência de Saúde para Empregados/economia , Planos de Assistência de Saúde para Empregados/tendências , Política de Saúde/economia , Política de Saúde/tendências , Humanos , Modelos Estatísticos , Estados Unidos
2.
PLoS One ; 9(11): e113488, 2014.
Artigo em Inglês | MEDLINE | ID: mdl-25427151

RESUMO

The ErbB protein tyrosine kinases are among the most important cell signaling families and mutation-induced modulation of their activity is associated with diverse functions in biological networks and human disease. We have combined molecular dynamics simulations of the ErbB kinases with the protein structure network modeling to characterize the reorganization of the residue interaction networks during conformational equilibrium changes in the normal and oncogenic forms. Structural stability and network analyses have identified local communities integrated around high centrality sites that correspond to the regulatory spine residues. This analysis has provided a quantitative insight to the mechanism of mutation-induced "superacceptor" activity in oncogenic EGFR dimers. We have found that kinase activation may be determined by allosteric interactions between modules of structurally stable residues that synchronize the dynamics in the nucleotide binding site and the αC-helix with the collective motions of the integrating αF-helix and the substrate binding site. The results of this study have pointed to a central role of the conserved His-Arg-Asp (HRD) motif in the catalytic loop and the Asp-Phe-Gly (DFG) motif as key mediators of structural stability and allosteric communications in the ErbB kinases. We have determined that residues that are indispensable for kinase regulation and catalysis often corresponded to the high centrality nodes within the protein structure network and could be distinguished by their unique network signatures. The optimal communication pathways are also controlled by these nodes and may ensure efficient allosteric signaling in the functional kinase state. Structure-based network analysis has quantified subtle effects of ATP binding on conformational dynamics and stability of the EGFR structures. Consistent with the NMR studies, we have found that nucleotide-induced modulation of the residue interaction networks is not limited to the ATP site, and may enhance allosteric cooperativity with the substrate binding region by increasing communication capabilities of mediating residues.


Assuntos
Trifosfato de Adenosina/química , Receptores ErbB/química , Família Multigênica , Regulação Alostérica , Sítio Alostérico , Motivos de Aminoácidos , Domínio Catalítico , Humanos , Interações Hidrofóbicas e Hidrofílicas , Ligantes , Modelos Moleculares , Dados de Sequência Molecular , Ligação Proteica , Isoformas de Proteínas/química , Multimerização Proteica , Estabilidade Proteica , Termodinâmica
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