Connection

GREG CUNY to Drug Discovery

This is a "connection" page, showing publications GREG CUNY has written about Drug Discovery.
Connection Strength

0.961
  1. Foreword: neurodegenerative diseases: challenges and opportunities. Future Med Chem. 2012 Sep; 4(13):1647-9.
    View in: PubMed
    Score: 0.369
  2. Discovery of LRRK2 inhibitors using sequential in silico joint pharmacophore space (JPS) and ensemble docking. Bioorg Med Chem Lett. 2015 Jul 01; 25(13):2713-9.
    View in: PubMed
    Score: 0.111
  3. Enzymatic Characterization of ER Stress-Dependent Kinase, PERK, and Development of a High-Throughput Assay for Identification of PERK Inhibitors. J Biomol Screen. 2014 Aug; 19(7):1024-34.
    View in: PubMed
    Score: 0.102
  4. Enhancement of SMN protein levels in a mouse model of spinal muscular atrophy using novel drug-like compounds. EMBO Mol Med. 2013 Jul; 5(7):1103-18.
    View in: PubMed
    Score: 0.097
  5. Small-molecule Klotho enhancers as novel treatment of neurodegeneration. Future Med Chem. 2012 Sep; 4(13):1671-9.
    View in: PubMed
    Score: 0.092
  6. Kinetic-based high-throughput screening assay to discover novel classes of macrophage migration inhibitory factor inhibitors. J Biomol Screen. 2010 Apr; 15(4):347-58.
    View in: PubMed
    Score: 0.078
  7. Discovery of 3-(4-sulfamoylnaphthyl)pyrazolo[1,5-a]pyrimidines as potent and selective ALK2 inhibitors. Bioorg Med Chem Lett. 2018 11 01; 28(20):3356-3362.
    View in: PubMed
    Score: 0.035
  8. Discovery of a Small Molecule Probe That Post-Translationally Stabilizes the Survival Motor Neuron Protein for the Treatment of Spinal Muscular Atrophy. J Med Chem. 2017 06 08; 60(11):4594-4610.
    View in: PubMed
    Score: 0.032
  9. Validation of IMP dehydrogenase inhibitors in a mouse model of cryptosporidiosis. Antimicrob Agents Chemother. 2014; 58(3):1603-14.
    View in: PubMed
    Score: 0.025
  10. Development of a mechanism-based high-throughput screen assay for leucine-rich repeat kinase 2--discovery of LRRK2 inhibitors. Anal Biochem. 2010 Sep 15; 404(2):186-92.
    View in: PubMed
    Score: 0.020
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.