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Connection

Srinivas Ramachandran to Molecular Docking Simulation

This is a "connection" page, showing publications Srinivas Ramachandran has written about Molecular Docking Simulation.

 
Connection Strength
 
 
 
0.545
 
  1. 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.
    View in: PubMed
    Score: 0.229
  2. 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.
    View in: PubMed
    Score: 0.119
  3. 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.
    View in: PubMed
    Score: 0.089
  4. Rani J, Bhargav A, Khan FI, Ramachandran S, Lai D, Bajpai U. In silico prediction of natural compounds as potential multi-target inhibitors of structural proteins of SARS-CoV-2. J Biomol Struct Dyn. 2022; 40(22):12118-12134.
    View in: PubMed
    Score: 0.042
  5. 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.
    View in: PubMed
    Score: 0.037
  6. Ahirwar R, Nahar S, Aggarwal S, Ramachandran S, Maiti S, Nahar P. In silico selection of an aptamer to estrogen receptor alpha using computational docking employing estrogen response elements as aptamer-alike molecules. Sci Rep. 2016 Feb 22; 6:21285.
    View in: PubMed
    Score: 0.029
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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