- ...conformation
- The ground state
of a protein is the minimum energy conformation
in which the protein spends the greatest time at equilibrium.
The native state is the most occupied conformation on the
time scale of the
functional life of the protein. If this time is less than that necessary for
the protein to reach equilibrium from its denatured state, the native and
ground states may differ. However, it is believed in Nature
that these two conformations are generally equivalent.
Unless otherwise stated, we use the two terms interchangeably.
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- ...landscape
- Our energy
landscape schematics may be misleading. Real protein landscapes are
2N-dimensional
and contain many features not found in one dimension, such as saddles, moats,
cul-de-sacs and other structures not expressible in low dimensions.
Especially important is the significantly greater number of ways of
getting from one point on the landscape to another.
Accordingly, landscape schematics shown here should be thought of as slices
through more realistic high-dimensional landscapes.
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- ...conformations,
- When the
context is clear, we use the terms protein,
sequence, conformation, etc., to refer to their respective biological or
lattice counterparts.
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- ...trained
- We refer to the selection of a sequence
on its apparent ability to fold
to a specified target conformation as training.
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- ...unknown
- Interestingly, the correlation of non-native conformations to
the target configuration could be used to
provide an estimate of the width of the corresponding funnel.
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- ...saturation
- This assumes that
the number of
patterns stored does not scale more quickly than N, which we find below
is reasonable.
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- ...potential
- Bringing the 193#193 from
(
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- ...that
- This estimation
is consistent with our use of the central limit
theorem provided 207#207, that is, 208#208.
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- ...nats
- A nat is the base e unit of information analogous to
bits for base 2.
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- ...below.
- A
more general treatment of optimisation of a system in which the cost function
is a random variable is provided in Chapter
. We summarise the
case for proteins here.
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- ...combinatoric
- By combinatoric we mean that the number of enumerable
solutions scales exponentially or more rapidly with the size of the problem.
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- ...problems
- The same phrase is used in [28] to describe
probabilistic combinatoric optimisation.
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- ...reward
- We use the terms reward and cost
interchangeably, with the understanding that one is the negative of the other.
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- ...408#408.
-
Because design 39#39 must previously have been tested, against others
which it superceded, we could in principle seek to use also that earlier
information about its cost in estimating 48#48.
In the present discussion we will
ignore this possibility, with the advantage that this makes acceptance
decisions statistically independent of each other.
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- ...length
- Jaillet
derived a closed form expression for computing the exact expected length of an
a priori tour over all realisations of the city probabilities
[27].
This allows comparison of conventional optimisation techniques with
probabilistic methods, such as the one introduced here.
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- ...activity.
- It is important to distinguish between the tree of
nodes, shown in Figure
, from the corresponding
tree of decisions
(cf. 435#435 Figure
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in particular, the decision tree is much more highly branched, the
decision at each level being the total number of nodes to purchase.
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- ...value
- The definition of value
presented here is not identical to the definition provided in Chapter
(this chapter was published earlier).
We address the difference in definitions and its implication in
Appendix
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- ...lattice.
- This chapter is the result of
work done in collaboration with Yong Mao [32, 33]; the text
included here was written by the author.
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- ...deformed,
- The diagrammatic manipulations
associated with continuous deformation of a knot are called the
Reidemeister moves; see [36].
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- ...it.
- While all of the diagrams in Figure
are topologically equivalent to the first, only the first diagram, with
terminal sequence intact, corresponds to a tie knot sequence.
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- ...econophysics
- Coined by H. Eugene Stanley.
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