Colorado PROFILES, The Colorado Clinical and Translational Sciences Institute (CCTSI)
Keywords
Last Name
Institution

Contact Us
If you have any questions or feedback please contact us.

Connection

Srinivas Ramachandran to Computational Biology

This is a "connection" page, showing publications Srinivas Ramachandran has written about Computational Biology.

 
Connection Strength
 
 
 
1.088
 
  1. Chaudhuri R, Ramachandran S. Immunoinformatics as a Tool for New Antifungal Vaccines. Methods Mol Biol. 2017; 1625:31-43.
    View in: PubMed
    Score: 0.375
  2. Chaudhuri R, Ramachandran S. Prediction of virulence factors using bioinformatics approaches. Methods Mol Biol. 2014; 1184:389-400.
    View in: PubMed
    Score: 0.304
  3. Clarke DJB, Evangelista JE, Xie Z, Marino GB, Byrd AI, Maurya MR, Srinivasan S, Yu K, Petrosyan V, Roth ME, Milinkov M, King CH, Vora JK, Keeney J, Nemarich C, Khan W, Lachmann A, Ahmed N, Agris A, Pan J, Ramachandran S, Fahy E, Esquivel E, Mihajlovic A, Jevtic B, Milinovic V, Kim S, McNeely P, Wang T, Wenger E, Brown MA, Sickler A, Zhu Y, Jenkins SL, Blood PD, Taylor DM, Resnick AC, Mazumder R, Milosavljevic A, Subramaniam S, Ma'ayan A. Playbook workflow builder: Interactive construction of bioinformatics workflows. PLoS Comput Biol. 2025 Apr; 21(4):e1012901.
    View in: PubMed
    Score: 0.166
  4. Nandi T, B-Rao C, Ramachandran S. Comparative genomics using data mining tools. J Biosci. 2002 Feb; 27(1 Suppl 1):15-25.
    View in: PubMed
    Score: 0.133
  5. Jang H, Arce FT, Lee J, Gillman AL, Ramachandran S, Kagan BL, Lal R, Nussinov R. Computational Methods for Structural and Functional Studies of Alzheimer's Amyloid Ion Channels. Methods Mol Biol. 2016; 1345:251-68.
    View in: PubMed
    Score: 0.087
  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: 0.022
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.

Copyright © 2026 The Regents of the University of Colorado, a body corporate. All rights reserved. (Harvard PROFILES RNS software version: 2.11.1)