IBM / Hewlett-Packard / bRinat Laboratories / Ligand / Pfizer Inc. / Gilmore SA / NetApp / Intel / / /
Facility
California Institute / University of California / /
IndustryTerm
similar energy / chemical perturbation / large allosteric network / chemical frustration / energy landscape perspective / identified allosteric systems / given regulated site / reagents/analytic tools / large energy change / energy minima / energy landscapes / chemical species / allosteric network / distance energy / energy difference / energy functions / energy contributions / distant regulated site / potential energy functions / energy / energy function / minor chemical perturbation / energy landscape / average energy / important regulated site / allosteric networks / effector binding site / potential energy function / allosteric site / free energy excitations / cellular control systems / distant allosteric site / energy landscape theory / high-energy interactions / /
Organization
Assembly of Notch / Department of Pharmaceutical Chemistry / Department of Bioengineering and Therapeutic Sciences / Pharmaceutical Chemistry / and California Institute for Quantitative Biosciences / University of California at San Diego / University of California / San Francisco / /
Person
Riccardo Pellarin / Patrick Weinkama / Jaume Ponsb / Peter G. Wolynes / Andrej Salia / Ben Webb / /
Structure-based model of allostery predicts coupling between distant sites Patrick Weinkama,1, Jaume Ponsb, and Andrej Salia,1 a Department of Bioengineering and Therapeutic Sciences, Department of Pharmaceutical Chemist