You may or may not have heard of Google correlate. It’s one of my favourite Google lab projects: you draw a curve and Google returns the top 10 search results that match your curve.
Interestingly in the White Paper accompanying the algorithm creators (Matt Mohebbi, Dan Vanderkam, Julia Kodysh, Rob Schonberger, Hyunyoung Choi & Sanjiv Kumar) ran the algorithm against the ribosome, that wonderous wet CPU inside every cell of our bodies.
The terms that overlap with ribosome are all closely related biological terms. Its the rhythmic nature that intrigues the authors:
"the phenomenon of biology study appears to be uniquely characterized by its temporal pattern: Other school topics (e.g. the Canterbury Tales) are also studied early in the school semester and yet this time series is not correlate nearly as well.”
in 2011 top 10 matching terms were
2. cell wall
5. plant cells
8. nuclear membrane
10. cell function
1. plant cells
2. animal cells
3. plant cell
4. cell wall
8. animal cell
10. nuclear membrane
Computers were made for biology. Biology would never have advanced as it did without the dramatic increase in computer power and availability. One day we would like to be able to simulate complicated biological processes, perhaps even going from the genomic sequence to a full simulation of the organism’s phenotype.
Michael Levitt of Stanford University, one of three winners of the 2013 Nobel Prize in Chemistry. From a 2001 paper titled “The birth of computation structural biology.”
By way of Nature News blog post “Nobels 2013: Chemistry prize goes to computer modellers.”