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netLibrary - eBook Summary Structure-based Drug Design by ...

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Page 160<br />

hydrophobic, composed of residues Ala 116, Phe 200, and Val 217. The phosphate binding site uses<br />

residues Ser 33, Arg 84, His 86, and Ser 220 with the phosphate positioned for nucleophilic attack at C1'<br />

of the nucleoside. The sugar binding site is mostly hydrophobic consisting of residues Tyr 88, Phe 200,<br />

His 257 from one subunit and Phe 159 of the adjacent subunit. This hydrophobic pocket orients the<br />

sugar to facilitate nucleophilic attack <strong>by</strong> phosphate and subsequent inversion of C1'.<br />

C. Initial Inhibitor Complexes<br />

In order to understand the interaction of inhibitors with the active site residues, the previously known<br />

inhibitors were obtained and crystallographic analyses were carried out. The most important findings<br />

were (1) 8-amino substituents enhance binding of guanines <strong>by</strong> forming hydrogen bonds with Thr 242<br />

and possibly the carbonyl oxygen atom of Ala 116; (2) substitution <strong>by</strong> hydrophobic groups at the 9position<br />

of a purine enhances binding through interaction with the hydrophobic region of the ribose<br />

binding site; and (3) acyclovir diphosphate is a multisubstrate inhibitor with the acyclic spacer between<br />

the purine N9 and the phosphate of near optimal length to accommodate these two binding sites. Based<br />

on these results, a number of starting compounds were proposed that incorporated these and other<br />

features predicted to enhance inhibitor binding.<br />

III. Molecular Modeling<br />

Structural information in combination with graphical methods for displaying accessible volume,<br />

electrostatic potential, and hydrophobicity of the active site of the target macromolecule greatly<br />

facilitates the drug design process. Accurate prediction of binding affinities and protein conformational<br />

changes are currently not routinely possible, although significant advances are being made.<br />

Proposed compounds were screened <strong>by</strong> modeling the enzyme-inhibitor complex using interactive<br />

computer graphics. Macromodel [21] and AMBER [22] <strong>based</strong> molecular energetics were used along<br />

with Monte Carlo/energy minimization techniques [23] to sample the conformational space available to<br />

potential inhibitors docked into the PNP active site. Methods <strong>based</strong> on the work of Goodford [24]<br />

employing custom software were also used. Qualitative evaluation of the enzyme-inhibitor complexes<br />

<strong>by</strong> molecular graphics and semiquantitative evaluation of the interaction energies between the inhibitors<br />

and the enzyme aided in the prioritization of compounds for chemical synthesis.<br />

http://legacy.netlibrary.com/nlreader/nlReader.dll?bookid=12640&filename=Page_160.html [4/5/2004 5:02:06 PM]

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