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Computer models provide new understanding of sickle cell disease
Computer models developed by Brown University mathematicians show new details of what happens inside a red blood cell affected by sickle cell disease. The researchers said they hope their models, described in an article in the Biophysical Journal, will help in assessing drug strategies to combat the genetic blood disorder, which affects millions of people worldwide.
The model uses detailed biomechanical data on how sickle hemoglobin molecules behave and bind with each other to simulate the assembly of a polymer fiber. Prior to this work, the problem had been that as the fiber grows, so does the amount of data the model must crunch. Modeling an entire polymer fiber at cellular scale using the details of each molecule was simply too computationally expensive.
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This platform is made possible through a partnership with the Sickle Cell Disease Association of America, Inc. (SCDAA) and its member organizations. SCDAA's mission is to advocate for people affected by sickle cell conditions and empower community-based organizations to maximize quality of life and raise public consciousness while advancing the search for a universal cure.