 Connection
Srinivas Ramachandran to Mycobacterium tuberculosis
This is a "connection" page, showing publications Srinivas Ramachandran has written about Mycobacterium tuberculosis.
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Connection Strength |
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1.985 |
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Meena S, Fatima F, Qais FA, Ramachandran S. Computational screening of natural plant and marine compounds as potential inhibitors of Mycobacterium tuberculosis dihydrodipicolinate synthase. Comput Biol Chem. 2026 Jun; 122:108936.
Score: 0.729
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Shrivastava P, Navratna V, Silla Y, Dewangan RP, Pramanik A, Chaudhary S, Rayasam G, Kumar A, Gopal B, Ramachandran S. Inhibition of Mycobacterium tuberculosis dihydrodipicolinate synthase by alpha-ketopimelic acid and its other structural analogues. Sci Rep. 2016 08 09; 6:30827.
Score: 0.377
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Puniya BL, Kulshreshtha D, Verma SP, Kumar S, Ramachandran S. Integrated gene co-expression network analysis in the growth phase of Mycobacterium tuberculosis reveals new potential drug targets. Mol Biosyst. 2013 Nov; 9(11):2798-815.
Score: 0.311
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Gahoi S, Mandal RS, Ivanisenko N, Shrivastava P, Jain S, Singh AK, Raghunandanan MV, Kanchan S, Taneja B, Mandal C, Ivanisenko VA, Kumar A, Kumar R, Ramachandran S. Computational screening for new inhibitors of M. tuberculosis mycolyltransferases antigen 85 group of proteins as potential drug targets. J Biomol Struct Dyn. 2013; 31(1):30-43.
Score: 0.285
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Eniyan K, Rani J, Ramachandran S, Bhat R, Khan IA, Bajpai U. Screening of Antitubercular Compound Library Identifies Inhibitors of Mur Enzymes in Mycobacterium tuberculosis. SLAS Discov. 2020 01; 25(1):70-78.
Score: 0.117
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Rani J, Silla Y, Borah K, Ramachandran S, Bajpai U. Repurposing of FDA-approved drugs to target MurB and MurE enzymes in Mycobacterium tuberculosis. J Biomol Struct Dyn. 2020 Jun; 38(9):2521-2532.
Score: 0.115
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Gnanamani M, Kumar N, Ramachandran S. ARC: automated resource classifier for agglomerative functional classification of prokaryotic proteins using annotation texts. J Biosci. 2007 Aug; 32(5):937-45.
Score: 0.050
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Connection Strength
The connection strength for concepts is the sum of the scores for each matching publication.
Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
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