<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Miniyar, Pankaj</style></author><author><style face="normal" font="default" size="100%">Mahajan, Anand</style></author><author><style face="normal" font="default" size="100%">Anuse, Dattatray</style></author><author><style face="normal" font="default" size="100%">Kumar, Ashish</style></author><author><style face="normal" font="default" size="100%">Barmade, Mahesh</style></author><author><style face="normal" font="default" size="100%">Sarkar, Dhiman</style></author><author><style face="normal" font="default" size="100%">Arkile, Manisha</style></author><author><style face="normal" font="default" size="100%">Khedkar, Vijay</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Recursive partitioning analysis and anti-tubercular screening of 3-aminopyrazine-2-carbohydrazide derivatives</style></title><secondary-title><style face="normal" font="default" size="100%">Letters in Drug Design &amp; Discovery</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">3-aminopyrazine</style></keyword><keyword><style  face="normal" font="default" size="100%">anti-tubercular activity</style></keyword><keyword><style  face="normal" font="default" size="100%">Carbohydrazide</style></keyword><keyword><style  face="normal" font="default" size="100%">lyophilization</style></keyword><keyword><style  face="normal" font="default" size="100%">QSAR</style></keyword><keyword><style  face="normal" font="default" size="100%">recursive partitioning</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2019</style></year><pub-dates><date><style  face="normal" font="default" size="100%">APR</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">16</style></volume><pages><style face="normal" font="default" size="100%">1264-1275</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Background: Treating tuberculosis is a challenge due to the development of drug resistance. Hence, it is imperative to develop novel leads having high potency and efficacy to curb drug resistance. Methods: The present research work is focused on microwave-assisted synthesis of novel twenty-six 3-amino-N'-benzylidenepyrazine-2-carbohydrazide derivatives (3a-z), where, lyophilization technique was used for isolation of the major intermediate, 3-aminopyrazin-2-carbohydrazide. All synthesized compounds were subjected for anti-tubercular screening against Mycobacterium tuberculosis H37Ra by using XTT Reduction Menadione Assay (XRMA) protocol. Results: Out of 26 synthesized compounds, four N'-substitutedbenzaldehyde-3-amino-pyrazine-2-carbohydrazide derivatives viz. 3i, 3j 3v and 3z showed significant activity against M. tuberculosis H37Ra. The compounds 3i, 3j, 3v and 3z showed 99, 98, 92 and 87 % inhibition respectively as compared to 94% inhibition shown by the standard drug rifampicin. The MIC and IC50 values were in the range of 24.3-110 and 5.9-20.8 mu g/ml respectively. Conclusion: A classification model called Recursive Partitioning (RP) based on binary Quantitative Structure-Activity Relationship (QSAR) was derived for the establishment of structure-activity relationship (SAR). The predictions derived on the basis of RP model were found to be in agreement with anti-tubercular screening data.&lt;/p&gt;
</style></abstract><issue><style face="normal" font="default" size="100%">11</style></issue><work-type><style face="normal" font="default" size="100%">Article</style></work-type><custom3><style face="normal" font="default" size="100%">&lt;p&gt;Foreign&lt;/p&gt;
</style></custom3><custom4><style face="normal" font="default" size="100%">&lt;p&gt;0.953&lt;/p&gt;
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