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Connection

Co-Authors

This is a "connection" page, showing publications co-authored by Paul Prather and Narsimha Reddy Penthala.

 
Connection Strength
 
 
 
0.578
 
  1. Penthala NR, Shoeib A, Dachavaram SS, Cabanlong CV, Yang J, Zhan CG, Prather PL, Crooks PA. 7-Azaindolequinuclidinones (7-AIQD): A novel class of cannabinoid 1 (CB1) and cannabinoid 2 (CB2) receptor ligands. Bioorg Med Chem Lett. 2020 11 15; 30(22):127501.
    View in: PubMed
    Score: 0.187
  2. Ford BM, Franks LN, Tai S, Fantegrossi WE, Stahl EL, Berquist MD, Cabanlong CV, Wilson CD, Penthala NR, Crooks PA, Prather PL. Characterization of structurally novel G protein biased CB1 agonists: Implications for drug development. Pharmacol Res. 2017 Nov; 125(Pt B):161-177.
    View in: PubMed
    Score: 0.152
  3. Franks LN, Ford BM, Madadi NR, Penthala NR, Crooks PA, Prather PL. Characterization of the intrinsic activity for a novel class of cannabinoid receptor ligands: Indole quinuclidine analogs. Eur J Pharmacol. 2014 Aug 15; 737:140-8.
    View in: PubMed
    Score: 0.121
  4. Yang JF, Williams AH, Penthala NR, Prather PL, Crooks PA, Zhan CG. Binding Modes and Selectivity of Cannabinoid 1 (CB1) and Cannabinoid 2 (CB2) Receptor Ligands. ACS Chem Neurosci. 2020 10 21; 11(20):3455-3463.
    View in: PubMed
    Score: 0.047
  5. Ford BM, Cabanlong CV, Tai S, Franks LN, Penthala NR, Crooks PA, Prather PL, Fantegrossi WE. Reduced Tolerance and Asymmetrical Crosstolerance to Effects of the Indole Quinuclidinone Analog PNR-4-20, a G Protein-Biased Cannabinoid 1 Receptor Agonist in Mice: Comparisons with ?9-Tetrahydrocannabinol and JWH-018. J Pharmacol Exp Ther. 2019 05; 369(2):259-269.
    View in: PubMed
    Score: 0.042
  6. Madadi NR, Penthala NR, Brents LK, Ford BM, Prather PL, Crooks PA. Evaluation of (Z)-2-((1-benzyl-1H-indol-3-yl)methylene)-quinuclidin-3-one analogues as novel, high affinity ligands for CB1 and CB2 cannabinoid receptors. Bioorg Med Chem Lett. 2013 Apr 01; 23(7):2019-21.
    View in: PubMed
    Score: 0.028
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.