02428nas a2200301   4500008004100000022001400041245009900055210006900154260006700223300001200290490000700302520136400309653002801673653003301701653001601734653002701750100002101777700002101798700002301819700003401842700001801876700001901894700002201913700002201935700002101957700002401978856012402002       2015                        eng d  a1747-027700aTargeting dormant tuberculosis bacilli: results for molecules with a novel pyrimidone scaffold0 aTargeting dormant tuberculosis bacilli results for molecules wit  a111 RIVER ST, HOBOKEN 07030-5774, NJ USAbWILEY-BLACKWELLcFEB  a201-2070 v853 a<p>Our inability to completely control TB has been due in part to the presence of dormant mycobacteria. This also renders drug regimens ineffective and is the prime cause of the appearance of drug-resistant strains. In continuation of our efforts to develop novel antitubercular agents that especially target dormant mycobacteria, a set of 55 new compounds belonging to the pyrimidone class were designed on the basis of CoMFA and CoMSIA studies, and these were synthesized and subsequently tested against both the dormant and virulent BCG strain of M.tuberculosis. Some novel compounds have been identified which selectively inhibit the dormant tuberculosis bacilli with significantly low IC50 values. This study reports the second molecule after TMC-207, having the ability to inhibit tuberculosis bacilli exclusively in its dormant phase. The synthesis was accomplished by a modified multicomponent Biginelli reaction. A classification model was generated using the binary QSAR approach - recursive partitioning (RP) to identify structural characteristics related to the activity. Physicochemical, structural, topological, connectivity indices, and E-state key descriptors were used for generation of the decision tree. The decision tree could provide insights into structure-activity relationships that will guide the design of more potent inhibitors.</p>10aAntitubercular activity10adormant tuberculosis bacilli10apyrimidones10arecursive partitioning1 aJoshi, Rohit, R.1 aBarchha, Avinash1 aKhedkar, Vijay, M.1 aPissurlenkar, Raghuvir, R. S.1 aSarkar, Sampa1 aSarkar, Dhiman1 aJoshi, Rohini, R.1 aJoshi, Ramesh, A.1 aShah, Anamik, K.1 aCoutinho, Evans, C.  uhttps://library.ncl.res.in/content/targeting-dormant-tuberculosis-bacilli-results-molecules-novel-pyrimidone-scaffold-002398nas a2200301   4500008004100000022001400041245011400055210006900169260000800238300001400246490000700260520143100267653002001698653002901718653001901747653001901766653000901785653002701794100002001821700001901841700002101860700001801881700002001899700001901919700002001938700001901958856011901977       2019                        eng d  a1570-180800aRecursive partitioning analysis and anti-tubercular screening of 3-aminopyrazine-2-carbohydrazide derivatives0 aRecursive partitioning analysis and antitubercular screening of   cAPR  a1264-12750 v163 a<p>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.</p>
10a3-aminopyrazine10aanti-tubercular activity10aCarbohydrazide10alyophilization10aQSAR10arecursive partitioning1 aMiniyar, Pankaj1 aMahajan, Anand1 aAnuse, Dattatray1 aKumar, Ashish1 aBarmade, Mahesh1 aSarkar, Dhiman1 aArkile, Manisha1 aKhedkar, Vijay  uhttps://library.ncl.res.in/content/recursive-partitioning-analysis-and-anti-tubercular-screening-3-aminopyrazine-2