Open Access. Powered by Scholars. Published by Universities.®
Cell and Developmental Biology Commons™
Open Access. Powered by Scholars. Published by Universities.®
Articles 1 - 2 of 2
Full-Text Articles in Cell and Developmental Biology
The Energy Landscape Analysis Of Cancer Mutations In Protein Kinases, Anshuman Dixit, Gennady M. Verkhivker
The Energy Landscape Analysis Of Cancer Mutations In Protein Kinases, Anshuman Dixit, Gennady M. Verkhivker
Mathematics, Physics, and Computer Science Faculty Articles and Research
The growing interest in quantifying the molecular basis of protein kinase activation and allosteric regulation by cancer mutations has fueled computational studies of allosteric signaling in protein kinases. In the present study, we combined computer simulations and the energy landscape analysis of protein kinases to characterize the interplay between oncogenic mutations and locally frustrated sites as important catalysts of allostetric kinase activation. While structurally rigid kinase core constitutes a minimally frustrated hub of the catalytic domain, locally frustrated residue clusters, whose interaction networks are not energetically optimized, are prone to dynamic modulation and could enable allosteric conformational transitions. The results …
Modeling Measurement Error In Tumor Characterization Studies, Cyril Rakovski, Daniel J. Weisenberger, Paul Marjoram, Peter W. Laird, Kimberly D. Siegmund
Modeling Measurement Error In Tumor Characterization Studies, Cyril Rakovski, Daniel J. Weisenberger, Paul Marjoram, Peter W. Laird, Kimberly D. Siegmund
Mathematics, Physics, and Computer Science Faculty Articles and Research
Background: Etiologic studies of cancer increasingly use molecular features such as gene expression, DNA methylation and sequence mutation to subclassify the cancer type. In large population-based studies, the tumor tissues available for study are archival specimens that provide variable amounts of amplifiable DNA for molecular analysis. As molecular features measured from small amounts of tumor DNA are inherently noisy, we propose a novel approach to improve statistical efficiency when comparing groups of samples. We illustrate the phenomenon using the MethyLight technology, applying our proposed analysis to compare MLH1 DNA methylation levels in males and females studied in the Colon …