Great post! Wondering if you think there will be any large changes due to new understandings (perhaps most important for molecular dynamics) that arise from application of non-linear statistical methods.
Of course part of the reductionist approach is over reliance on traditional linear statistical methods, yet biology is inherently nonlinear.
Then, say we do get new insights. Does this lead us back to a single (or very limited number of) drug targets and then standard drug development?
also see counter-arguments: https://www.quantamagazine.org/how-ai-revolutionized-protein-science-but-didnt-end-it-20240626/
Great post! Wondering if you think there will be any large changes due to new understandings (perhaps most important for molecular dynamics) that arise from application of non-linear statistical methods.
Of course part of the reductionist approach is over reliance on traditional linear statistical methods, yet biology is inherently nonlinear.
Then, say we do get new insights. Does this lead us back to a single (or very limited number of) drug targets and then standard drug development?