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Connection

Hava Siegelmann to Protein Interaction Maps

This is a "connection" page, showing publications Hava Siegelmann has written about Protein Interaction Maps.
Connection Strength

0.129
  1. Rietman EA, Siegelmann HT, Klement GL, Tuszynski JA. Gibbs Energy and Gene Expression Combined as a New Technique for Selecting Drug Targets for Inhibiting Specific Protein-Protein Interactions. Int J Mol Sci. 2023 Sep 27; 24(19).
    View in: PubMed
    Score: 0.053
  2. Rietman EA, Taylor S, Siegelmann HT, Deriu MA, Cavaglia M, Tuszynski JA. Using the Gibbs Function as a Measure of Human Brain Development Trends from Fetal Stage to Advanced Age. Int J Mol Sci. 2020 Feb 07; 21(3).
    View in: PubMed
    Score: 0.041
  3. McGuire SH, Rietman EA, Siegelmann H, Tuszynski JA. Gibbs free energy as a measure of complexity correlates with time within C. elegans embryonic development. J Biol Phys. 2017 Dec; 43(4):551-563.
    View in: PubMed
    Score: 0.035
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.