 Connection
Srinivas Ramachandran to Bacterial Proteins
This is a "connection" page, showing publications Srinivas Ramachandran has written about Bacterial Proteins.
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Connection Strength |
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1.352 |
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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: 0.304
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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: 0.251
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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: 0.229
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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: 0.163
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Nandi T, Brahmachari SK, Kannan K, Ramachandran S. Clusters of proteins in archaeal and bacterial proteomes using compositional analysis. In Silico Biol. 2004; 4(4):573-91.
Score: 0.127
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Nandi T, Kannan K, Ramachandran S. The low complexity proteins from enteric pathogenic bacteria: taxonomic parallels embedded in diversity. In Silico Biol. 2003; 3(3):277-85.
Score: 0.118
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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: 0.095
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Subramanyam MB, Gnanamani M, Ramachandran S. Simple sequence proteins in prokaryotic proteomes. BMC Genomics. 2006 Jun 08; 7:141.
Score: 0.038
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Nandi T, B-Rao C, Ramachandran S. Comparative genomics using data mining tools. J Biosci. 2002 Feb; 27(1 Suppl 1):15-25.
Score: 0.028
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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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