BioPHYSICAL chemistry

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final fold. Two general interactions influence the intermediate state. The
overall globular shape reflects the sequestering of hydrophobic residues
in the interior away from water molecules that minimize the unfavorable
hydrophobic interactions. The presence of secondary structures, in particular
αhelices, reflects the formation of hydrogen bonds among neighboring
amino acid residues. The intermediate state effectively provides the tem-
plate for the subsequent formation of the fully folded conformation.
The prediction and design of the three-dimensional structures of proteins
provides the opportunity to test the accuracy of our understanding of the
interactions that underlie protein folding. Many of these
approaches have focused on the interactions involved
in the formation of the intermediate state, hydrophobic
and hydrogen-bonding interactions, and packing inter-
actions. Whereas the prediction algorithms identify the
lowest-energy state of a given sequence, and in some cases
an initial model, the design of a fold must involve the
determination of the sequence with the lowest energy
for the given structure (Figure 13.15). The successful
design of new proteins has demonstrated the power of
this methodology. The sequence with the lowest energy,
computed for the fold of a small naturally occurring pro-
tein called a zinc finger, was found to adopt a structure
that was found by NMR (Chapter 16) to be highly
homologous to the starting sequence (Dahiyat & Mayo
1997). By iterating between the design and prediction
algorithms, a new protein was designed that had a novel
topology which proved to be very stable (Figure 13.16).

Figure 13.15Algorithm for protein design.
(a) Protein prediction and design are related
problems that both make use of computer
algorithms of protein interactions.
(b) Similarity of flexible backbone design
and structure prediction. Modified from
Schueler-Furman et al. (2005).


288 PART 2 QUANTUM MECHANICS AND SPECTROSCOPY


(a)

Prediction:
Find lowest
energy
structure
for fixed
sequence


Design:
Find lowest
energy
sequence
for fixed
structure

Sequence

Structure

Model of energetics
of inter- and
intramolecular
interactions

Randomly perturb backbone and/or rigid body
degrees of freedom

Gradient-based local minimization of energy
with respect to all degrees of freedom

Discrete optimization of side-chain rotamers
Design:
All rotamers for
all amino acids

(b)

Prediction: Accept?
All rotamers for native
amino acids

C

N

Figure 13.16
Three-dimensional
structure of a novel
design protein.
Modified from
Kuhlman et al.
(2003).

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