Title of article :
Computational analysis of ligand–receptor interactions in wild-type and mutant erythropoietin complexes
Author/Authors :
Pekas, nicholas J Division of Basic Biomedical sciences - sanford school of Medicine - University of south Dakota, Vermillion, UsA , newton, samuel s Division of Basic Biomedical sciences - sanford school of Medicine - University of south Dakota, Vermillion, UsA
Abstract :
Background: Erythropoietin (EPO), a pleiotropic cytokine, binds to its receptor (EPOR) in
bone marrow, activating a signaling cascade that results in red blood cell proliferation. A recently
discovered naturally occurring EPO mutation (R150Q) at active site 1 (AS1) of the protein was
shown to attenuate its canonical downstream signaling, eliminating its hematopoietic effects
and causing a fatal anemia. The purpose of this work was to analyze the EPO–EPOR complex
computationally to provide a structural explanation for this signaling change.
Materials and methods: Computational structural biology analyses and molecular dynam-
ics simulations were used to determine key interaction differences between the R150Q mutant
and the wild-type form of EPO. Both were compared to another variant mutated at the same
position, R150E, which also lacks hematopoietic activity.
Results: The ligand–receptor interactions of the R150Q and R150E mutants showed significant
variations in how they interacted with EPOR at AS1 of the EPO–EPOR complex. Both lost
specific reported salt bridges previously associated with full complex activation.
Conclusion: This work describes how the ligand–receptor interactions at AS1 of the EPO–
EPOR complex respond to mutations at the 150th position. The interactions at AS1 were used
to propose a potential mechanism by which the binding of EPO to the extracellular domain of
EPOR influences its cytosolic domain and the resulting signaling cascade
Farsi abstract :
فاقد چكيده فارسي
Keywords :
molecular dynamics , signaling cascade , binding affinity , hematopoiesis
Journal title :
Advances and Applications in Bioinformatics and Chemistry: AABC