Complexity in Biology
Complexity is found everywhere in Nature. In fact, it is probably one of its universal structural feature. It is found at the level of single molecules, signaling and metabolic pathways, cell structures, tissues, organs, organisms and populations and ecosystems. Complexity is related to dynamic interactions among components of a system. These interactions are sensitive to environmental conditions and thus can easily change their behavior, making the understanding of these systems notoriously difficult, particularly when it comes to predicting their future behavior. Here we present systems that are very well studied yet despite decades of research, still hard to 'solve'.
The protein folding
problem addresses the relationship between the DNA sequence of a
gene and the structure of a protein it encodes. How can a linearly
arranged sequence encode information for a three dimensional structure?
It does so in a medium that decodes the information on which amino
acid residues (the building blocks of proteins) can interact closely
together or not. Although the concept is extremely simple, and referred
to as the hydrophobic effect, the actual dynamics of the system's
behavior is stunningly complex. Protein folding and protein-protein
interactions, both essential for the function of a cell, are two
equivalent problem of self-assembly processes. They are both an
extension of the genetic code, alas displaying an incredulous redundancy
amidst a surprising reproducibility. These two properties
-- stability of structure and redundancy in sequence
-- lie at the core of any model of molecular evolution. The
problem unfolds something like the following: the genes with their
proper DNA sequences are the units of inheritance. The proteins,
synthesized from the linear nucleic acid template, contain an amino
acid sequence that corresponds to the DNA sequence according to
the genetic code. This code in itself is redundant, because 64 possible
codons are made combining three bases from four types of bases to
choose from. These 64 codons code for only 20 different amino acids
used for protein biosynthesis. In other words, there are more possible
triple-base combinations available than needed to code for 20 different
amino acids. Once synthesized, the linear (literally stretched out)
protein strand folds into an active three dimensional structure
different from this elongated initial form.
can be made. First, each protein with a particular amino acid sequence
always adopts the same three dimensional, active structure. Second,
proteins with different amino acids can adopt identical three dimensional
structures. Taken together, single amino acid mutations (as the
result of mutations in the DNA sequence of the gene) either result
in the same fold, or force the protein to adopt a different structure.
In both cases, the protein may retain its function, or loose it.
Obviously, the position along the sequence where the mutation
occurs is important, as is the difference in chemical properties
between original and mutant protein, for every mutation has the
potential of affecting either structure, or function, or both. The
question now remains, if a code exists (a code beyond the genetic
code which describes a translation of a nucleic acid language into
an amino acid language) that describes the arrangement of the amino
acid within a three dimensional protein structure. The available
data undoubtedly demonstrates that the redundancy of this code must
be tremendous. No wonder the code is elusive. Yet, we have to understand
this code in order to understand the molecular mechanism of evolution
because it is the protein structures where natural selection works
and 'selects' the parent (by letting it survive) carrying the DNA
sequence inherited by the offspring.
One of the most complex organs is the brain. It is not the large number of cells - as many large organs need a lot of cells - but the
ability to connect these cells in particular an varied modes. Chemical and electrical synapses, as well as paracrine signaling and exchange of metabolites make brains a unique organ that can generate patterns of activities responsible to make decisions. The actual state of cell to cell connections in the brain has recently been referred to as the connectome (which is just one of many new words in the growing list of -omics research). For a good initial impression of what the connectome represents watch Sebastian Seung's TED presentation 'I am my Connectome'.
(Read also about synthetic cells)
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Copyright © 2000-2011 Lukas K. Buehler