New 3D amino acid structure descriptors and its application to the polypeptide QSAR / 药学学报

ABSTRACT

<p><b>AIM</b>To establish a new amino acid structure descriptor that can be applied to polypeptide QSAR studies.</p><p><b>METHODS</b>The new amino acid structure descriptor c-scales were derived from a principal components analysis of 167 amino acid structure descriptor indexes by theoretic calculation. The c1,c2,c3-scales were related to 3D structural features of amino acid such as steric, electronic and conformation properties etc. G/PLS regression method was used to find out the relationship between the c-scales and the biological activity and developed QSAR models of the polypeptides.</p><p><b>RESULTS</b>Using the established method, we developed accordingly QSAR models of Bitter tasting dipeptide, ACE inhibitors and bradykinin-potentiating pentapeptides and their r2 and XV-r2 were more than 0.70.</p><p><b>CONCLUSION</b>The c-scales can quantitatively describe the 3D structural features of any coded and non-coded amino acid and can be used to establish a QSAR model of good predictability.</p>