The University of Chicago Header Logo

Connection

Atsushi Doi to Signal Transduction

This is a "connection" page, showing publications Atsushi Doi has written about Signal Transduction.
Connection Strength

0.354
  1. A combined pathway to simulate CDK-dependent phosphorylation and ARF-dependent stabilization for p53 transcriptional activity. Genome Inform. 2006; 17(1):112-23.
    View in: PubMed
    Score: 0.129
  2. Constructing biological pathway models with hybrid functional petri nets. Stud Health Technol Inform. 2011; 162:92-112.
    View in: PubMed
    Score: 0.046
  3. Neuromodulation and the orchestration of the respiratory rhythm. Respir Physiol Neurobiol. 2008 Dec 10; 164(1-2):96-104.
    View in: PubMed
    Score: 0.040
  4. Simulation-based validation of the p53 transcriptional activity with hybrid functional petri net. In Silico Biol. 2006; 6(1-2):1-13.
    View in: PubMed
    Score: 0.032
  5. Genomic Object Net: I. A platform for modelling and simulating biopathways. Appl Bioinformatics. 2003; 2(3):181-4.
    View in: PubMed
    Score: 0.026
  6. Genomic Object Net: II. Modelling biopathways by hybrid functional Petri net with extension. Appl Bioinformatics. 2003; 2(3):185-8.
    View in: PubMed
    Score: 0.026
  7. Inhibition of G0/G1 Switch 2 Ameliorates Renal Inflammation in Chronic Kidney Disease. EBioMedicine. 2016 Nov; 13:262-273.
    View in: PubMed
    Score: 0.017
  8. Biopathways representation and simulation on hybrid functional petri net. Stud Health Technol Inform. 2011; 162:77-91.
    View in: PubMed
    Score: 0.011
  9. Analysis of PPARalpha-dependent and PPARalpha-independent transcript regulation following fenofibrate treatment of human endothelial cells. Angiogenesis. 2009; 12(3):221-9.
    View in: PubMed
    Score: 0.010
  10. Genomic data assimilation for estimating hybrid functional Petri net from time-course gene expression data. Genome Inform. 2006; 17(1):46-61.
    View in: PubMed
    Score: 0.008
  11. Automatic drawing of biological networks using cross cost and subcomponent data. Genome Inform. 2005; 16(2):22-31.
    View in: PubMed
    Score: 0.008
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.