I should definitely to a decent post some time soon, but it seems that I’m in middle of severe drought of ideas and writing abilities. Hopefully this is just a passing phase… Someone should definitely develop a drug against writer’s block I think.
A few things I’ve been working on so far between all the jobs I have to run to pay my rent. I’ve been studying the Exploring Complexity by Gregoire Nicolis and Ilya Prigogine since the beginning of the summer. Studying as in tearing through every bit of reference mentioned at ends of each chapters and working out all the equations, making up some of my own for practice. The progress has been slower than I would have liked but it’s still coming along nicely. I’m upto the randomness and complexity chapter where they begin describing Markovian processes and different types of entropy. I’ve been trying to come up with some cool graphics describing some of the stuff in the book using Mathematica but couldn’t really find the time to get around to it, with all the other coding projects on my hand at the moment, but I’ll definitely have something to show for by the end of the summer.
I’ve also been reading up on some bioinformatics literature, beginning with the eponymous ‘For Dummies’ book on the subject which is surprisingly well written, or at least comprehensible (well, considering the title it would be hard to write a book on the subject that is incomprehensible). It’s part of my attempt at coming up with a decent diybio coursework aimed at 14 and above, centering around the kind of projects the laymen would normally find out of reach, like designing a biological circuit and putting it together in a wetlab. With so many computerized tools and advent of abstraction in biological sciences brought on by synthetic biology, I think it is possible to empower the citizenry with end-user scientist toolset. The average computer user don’t code in assembly or the machine language yet many of them are perfectly capable of coming up with useful high-level softwares and beautiful works of art (it still takes effort and mastery but what doesn’t?). In order for the biological sciences to become user-friendly I believe we need a tool to familiarize them with the higher level abstraction in molecular biology and computerized tools associated with it. In my experience the best way to break down an intellectual barrier is to make people do the impossible easily and cheaply. The first step of breaking down the biology barrier would be teaching people how to design genetic circuits using extremely high level abstraction symbols. Theoretically it should be possible to put together a very simple circuit on a napkin using symbols and diagrams using unified ‘visual language‘ of synthetic biology. Once the individual becomes scientifically fluent enough to visualize these molecular circuits within his or her head, and feel a real want for building something in real life, we can easily transfer the design into computerized tools for specification and optimization. After that it would be a simple process of transformation using mail-order kits (or using diy tools if you’re so inclined), which DIYBio NYC have already demonstrated to be easy and straightforward.
By then, maybe I’ll try to pitch my not-so-secret ambition of coming up with diy-minimal/synthetic cell ::evil laugh::
As you might have guessed I’ve also been spending a lot of time reading through E.O. Wilson’s Consilience: The Unity of Knowledge again. It’s amazing just how much of the book resonates with me, not necessarily in solutions but in problems he outlines as something fundamental that needs to be resolved if we are to further our understanding of the universe.
“…the U.S. federal high-performance program has upped the goal to a trillion calculations per second by the end of the century. By the year 2020, petacrunchers, capable of reaching a thousand trillion calculations per second, may be possible, although new technologies and programming methods will be needed to reach that level. At this point the brute-force simulation of cell mechanics, tracking every active molecule and its web of interactions, should be attainable- even without the simplifying principles envisioned in complexity theory.“
The continuing battle (if there is one) between raw computing power against elegant universal systems like the kind proposed by some of the complexity scientists is interesting. For one thing, would we need raw computing power the world has never seen so far to replicate human-like intelligence? Or can it be done in smaller scale using some aspect of the logical system that gives rise to emergent trait we refer to as intelligence? Classification of life/intelligence as a type of physical system that very closely resembles phase transition due to complexity is an intriguing possibility that will need to be examined in detail… I’m especially interested in intelligence as not something that computes but as something that creates. Why am I sitting here writing down this stuff when the weather outside is so great? Why do people strive to create this stuff and ideas when it’s much easier to sit on their collective asses and eat chips? To some the activity of creating get to the point of destructive obsession. Am I alone in sensing that the society at large tend to be envious of those kind of people?
Curiosity is not a rational trait. It’s crazy and sometimes suicidal, and doesn’t serve any kind of immediate need for survival or propagation. It is the very picture of irrationality. So where does it come from? What aspect of the molecular system that we refer to as living beings gives rise to such weird behavior? And what’s with this crazy unreasonable effectiveness of mathematics in the natural sciences? Isn’t it weird how questioning the nature of mind, life, and human behavior so often leads us to the questions on the fundamental nature of the universe itself?
In 1994 editors of Science, celebrating the inauguration of developmental biology by Wilhelm Roux a century earlier, asked one hundred contemporary researchers in the field to identify what they considered the crucial unanswered questions in the discipline. Their responses, in rank order of attributed importance, were:
1.The molecular mechanism of tissue and organ development.
2.The connection between development and genetic information.
3.The steps by which cell become committed to a particular fate.
4.The role of cell-to-cell signaling in tissue development.
5.The self-assembly of tissue patterns in the early embryo.
6.The manner in which nerve cells establish their specific connections to create the nerve cord and brains.
7.The means by which cells choose to divide and to die in the sculpting of tissues and organs.
8.The steps by which the processes controlling transcription (the transmission of DNA information within the cell) affect the differentiation of tissues and organs.
Remarkably, the biologists considered research on all of these topics to be in a state of rapid advance, with partial successes in at least some of them close at hand.
Above questions were written around 1994 according to the Consilience. It’s been over a decade, so I wonder how many of above questions had been answered definitely and conclusively….
Also, it’s rather interesting that most if not all of above questions are in some way related to study of complexity sciences. It’s almost as if the whole field of complexity science is biology fused with mathematical abstractions.