Publications

  1. Ramanathan, A., Savol, A. J., Langmead, C. J., Agarwal, P. K., & Chennubhotla, C. S. (2011). Discovering conformational sub-states relevant to protein function. PLoS ONE, 6(1), e15827.
  2. Savol, A. J., Burger, V. M., Agarwal, P. K., Ramanathan, A., & Chennubhotla, C. S. (2011). QAARM: quasi-anharmonic autoregressive model reveals molecular recognition pathways in ubiquitin. Bioinformatics, 27(13), i52-i60.
  3. Ramanathan, A., Savol, A. J., Agarwal, P. K., & Chennubhotla, C. S. (2012). Event detection and sub‐state discovery from biomolecular simulations using higher‐order statistics: Application to enzyme adenylate kinase. Proteins: Structure, Function, and Bioinformatics, 80(11), 2536-2551.
  4. Burger, V. M., Ramanathan, A., Savol, A. J., Stanley, C. B., Agarwal, P. K., & Chennubhotla, C. (2012). Quasi-anharmonic analysis reveals intermediate states in the nuclear co-activator receptor binding domain ensemble. In Pacific Symposium on Biocomputing (Vol. 17, pp. 70-81).
  5. Ramanathan, A., Savol, A., Burger, V., Quinn, S., Agarwal, P. K., & Chennubhotla, C. (2012). Statistical inference for big data problems in molecular biophysics. In Neural Information Processing Systems: Workshop on Big Learning.
  6. Ramanathan, A., Savol, A., Burger, V., Chennubhotla, C. S., & Agarwal, P. K. (2013). Protein conformational populations and functionally relevant substates. Accounts of Chemical Research, 47(1), 149-156.
  7. Parvatikar, A., Vacaliuc, G., Ramanathan, A., Chennubhotla, C. S. (2018). ANCA: Anharmonic Conformational Analysis of Biomolecular Simulations. Biophysical Journal (accepted).