Protein Folding via xkcd
In this comic, Cueball is asking Megan what she does, to which she replies that she works on software to predict protein folding. There are many folding prediction software programs. Some of the most well known are Folding@Home, Rosetta@Home and FoldIt.
Protein folding is the process by which proteins, which are floppy, unstructured chains of amino acids when initially synthesized in a cell, assume a stable, functional shape. If the folding process does not complete, or completes incorrectly, the resulting protein can be inactive or even toxic to the body. Misfolded proteins are responsible for several neurodegenerative diseases, including Alzheimer’s disease, amyotrophic lateral sclerosis (ALS), and Parkinson’s disease, as well as some non-neurodegenerative diseases such as cardiac amyloidosis.
Cueball asks Megan why it is such a hard computational problem, and Megan replies that it is like folding a live crane, not just a paper crane. The analogy is that a protein cannot just fold to a figurative representation of a bio-molecule (analogous to how a paper crane abstractly resembles the live crane). It must assume an exact, perfect fold in order to be functional.
Levinthal’s paradox is a thought experiment, also constituting a self-reference in the theory of protein folding. In 1969, Cyrus Levinthal noted that, because of the very large number of degrees of freedom in an unfolded polypeptide chain, the molecule has an astronomical number of possible conformations. For example, a polypeptide of 100 residues will have 99 peptide bonds, and therefore 198 different phi and psi bond angles. If each of these bond angles can be in one of three stable conformations, the protein may misfold into a maximum of 3^198 different conformations (including any possible folding redundancy). Therefore if a protein were to attain its correctly folded configuration by sequentially sampling all the possible conformations, it would require a time longer than the age of the universe to arrive at its correct native conformation. This is true even if conformations are sampled at rapid (nanosecond or picosecond) rates. The “paradox” is that most small proteins fold spontaneously on a millisecond or even microsecond time scale. This paradox is central to computational approaches to protein structure prediction.
As Cueball turns the hypothetical process of folding a living paper crane over in his mind, he wonders if he is allowed to perhaps ‘cut’ the ‘paper’ to make more complicated folds of paper available, making the project simpler. Megan replies “if you can fold a Protease enzyme”, an analogy to saying “if you can fold yourself some scissors”. Proteins which begin as a single polypeptide chain before being cut into two chains by proteases (which may then join together again, by disulfide rather than by peptide bonds). Insulin is one such protein. Protease enzymes are proteins whose job it is to break down (i.e. cut) other proteins, often in very specific ways. They are thus analogous to extremely specialized scissors.
Of course, when trying to predict the folding trajectory in nature of a protein A, and one is allowed to make cuts during the process, one is making the assumption that the Protease that cut protein A is already folded and functional. In other words, making cuts while folding might actually make the process more complicated, not less, as now you have to consider how the cutting enzyme is folded, too.
In origami, purists  considered it as cheating if you cut the paper or use more than one sheet of paper, which is why Cueball asked if he was ‘allowed’ to do such in the hypothetical exercise they are discussing.
The title text refers to the result of folding a paper crane in origami. By pulling the tail, the head will move forward and down. However, since the joke is about folding proteins, this idea is extrapolated to include the folded proteins. The C-terminus (end of the protein chain), in this case analogous of the tail, if “pulled” would cause a created cavity or tunnel to squeeze, much like pulling a knot would do the same.
Folding@Home (F@H) is a distributed computing project which aims to simulate protein folding for research purposes. Rather than the traditional model of using a supercomputer for computation, the project uses idle processing power of a network of personal computers in order to achieve massive computing power. Individuals can join the project by installing the F@H software, and are then able to track their contribution to the project. Individual members may join together as a team, with leaderboards measuring team and individual contributions.
Each Saturday Morning here at Adafruit is Saturday Morning Cartoons! Be sure to check our cartoon and animated posts both nostalgic and new that inspire makers of all ages! You’ll find how-tos for young makers, approaches to learning about science and engineering, and all sorts of comic strip and animated Saturday Morning fun! Be sure to check out our Adafruit products featuring comic book art while you’re at it!