A Derived QSAR Model for Predicting Some Compounds as Potent Antagonist against<i> Mycobacterium tuberculosis</i>: A Theoretical Approach

<table class="fixed-width table-group" id="tab8"><tr><td><table class="table"><colgroup><col style="width:14.44em"/><col style="width:8.69em"/></colgroup><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td class="align_left">D optimal Validation parameters</td><td class="align_center">Value</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left">Correlation Coefficient</td><td class="align_center">0.899599</td></tr><tr><td class="align_left">R-squared</td><td class="align_center">80.9278 percent</td></tr><tr><td class="align_left">R-squared (adjusted for d.f.)</td><td class="align_center">80.0986 percent</td></tr><tr><td class="align_left">Standard Error of Est.</td><td class="align_center">0.345508</td></tr><tr><td class="align_left">Mean absolute error</td><td class="align_center">0.25514</td></tr><tr><td class="align_left">Durbin-Watson statistic</td><td class="align_center">1.81474 (P=0.3302)</td></tr><tr><td class="align_left">Lag 1 residual autocorrelation</td><td class="align_center">0.0925989</td></tr><tr><td class="align_left">Correlation Coefficient</td><td class="align_center">0.899599</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>D optimal validation parameters.</div>

Advances in Preventive Medicine

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Table 8

Table 8: A Derived QSAR Model for Predicting Some Compounds as Potent Antagonist against<i> Mycobacterium tuberculosis</i>: A Theoretical Approach 

Advances in Preventive Medicine

A Derived QSAR Model for Predicting Some Compounds as Potent Antagonist against Mycobacterium tuberculosis: A Theoretical Approach

Table 8