Publications by authors named "H Steven Wiley"
Predictive models of signaling pathways have proven to be difficult to develop. Traditional approaches to developing mechanistic models rely on collecting experimental data and fitting a single model to that data. This approach works for simple systems but has proven unreliable for complex systems such as biological signaling networks.
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- The study evaluates the effectiveness of the oral drug belzutifan in treating retinal hemangioblastomas associated with von Hippel-Lindau disease during the LITESPARK-004 trial.
- The analysis included 61 participants, with 12 having evaluable retinal lesions; all of the assessed eyes showed improvement after treatment, leading to a 100% response rate.
- By the end of the follow-up, no new disease progression was reported, and significant reductions in the size of hemangioblastomas were observed in a subgroup of patients, indicating the drug's potential efficacy.
Biochemical reaction networks perform a variety of signal processing functions, one of which is computing the integrals of signal values. This is often used in integral feedback control, where it enables a system's output to respond to changing inputs, but to then return exactly back to some pre-determined setpoint value afterward. To gain a deeper understanding of how biochemical networks are able to both integrate signals and perform integral feedback control, we investigated these abilities for several simple reaction networks.
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- The study focuses on the effectiveness and safety of oral minocycline for treating geographic atrophy (GA) in age-related macular degeneration (AMD), addressing the limitations of existing therapies.
- Conducted over 45 months, the trial involved 37 participants who were monitored during a 9-month run-in phase followed by 3 years of treatment with oral minocycline.
- Results showed no significant difference in the rate of GA enlargement between the treatment phase and the run-in phase, suggesting that minocycline may not be effective in slowing GA progression.
Design patterns are generalized solutions to frequently recurring problems. They were initially developed by architects and computer scientists to create a higher level of abstraction for their designs. Here, we extend these concepts to cell biology to lend a new perspective on the evolved designs of cells' underlying reaction networks.
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