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Connection

Tobin R. Sosnick to Computational Biology

This is a "connection" page, showing publications Tobin R. Sosnick has written about Computational Biology.
Connection Strength

0.847
  1. Trajectory-based training enables protein simulations with accurate folding and Boltzmann ensembles in cpu-hours. PLoS Comput Biol. 2018 12; 14(12):e1006578.
    View in: PubMed
    Score: 0.527
  2. On docking, scoring and assessing protein-DNA complexes in a rigid-body framework. PLoS One. 2012; 7(2):e32647.
    View in: PubMed
    Score: 0.082
  3. Protein structure prediction enhanced with evolutionary diversity: SPEED. Protein Sci. 2010 Mar; 19(3):520-34.
    View in: PubMed
    Score: 0.071
  4. Reduced C(beta) statistical potentials can outperform all-atom potentials in decoy identification. Protein Sci. 2007 Oct; 16(10):2123-39.
    View in: PubMed
    Score: 0.060
  5. Helix, sheet, and polyproline II frequencies and strong nearest neighbor effects in a restricted coil library. Biochemistry. 2005 Jul 19; 44(28):9691-702.
    View in: PubMed
    Score: 0.052
  6. Discovering RNA-protein interactome by using chemical context profiling of the RNA-protein interface. Cell Rep. 2013 May 30; 3(5):1703-13.
    View in: PubMed
    Score: 0.022
  7. A probabilistic and continuous model of protein conformational space for template-free modeling. J Comput Biol. 2010 Jun; 17(6):783-98.
    View in: PubMed
    Score: 0.018
  8. Statistical coil model of the unfolded state: resolving the reconciliation problem. Proc Natl Acad Sci U S A. 2005 Sep 13; 102(37):13099-104.
    View in: PubMed
    Score: 0.013
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.