Structure-Based Identification of Potent Natural Product Chemotypes as Cannabinoid Receptor 1 Inverse Agonists

被引:14
作者
Pandey, Pankaj [1 ]
Roy, Kuldeep K. [1 ,2 ]
Liu, Haining [1 ]
Ma, Guoyi [1 ]
Pettaway, Sara [1 ,4 ]
Alsharif, Walid F. [1 ,5 ]
Gadepalli, Rama S. [1 ]
Rimoldi, John M. [1 ,3 ]
McCurdy, Christopher R. [1 ,3 ,6 ]
Cutler, Stephen J. [1 ,3 ,7 ]
Doerksen, Robert J. [1 ,3 ]
机构
[1] Univ Mississippi, Sch Pharm, Dept BioMol Sci, Div Med Chem, University, MS 38677 USA
[2] Natl Inst Pharmaceut Educ & Res, 168 Manicktala Main Rd, Kolkata 700054, WB, India
[3] Univ Mississippi, Sch Pharm, Res Inst Pharmaceut Sci, University, MS 38677 USA
[4] Univ N Carolina, Eshelman Sch Pharm, Chapel Hill, NC 27599 USA
[5] Wayne State Univ, Sch Med, Dept Psychiat & Behav Neurosci, Detroit, MI 48202 USA
[6] Univ Florida, Dept Med Chem, Coll Pharm, Gainesville, FL 32610 USA
[7] Univ South Carolina, Coll Pharm, Columbia, SC 29208 USA
来源
MOLECULES | 2018年 / 23卷 / 10期
基金
美国国家卫生研究院;
关键词
structure-based virtual screening; cannabinoid receptors; docking; virtual screening; radioligand binding assay; CB1; RECEPTOR; RISK-FACTORS; OVERWEIGHT PATIENTS; CRYSTAL-STRUCTURE; RIMONABANT; DISCOVERY; ANTAGONISTS; EXPRESSION; BINDING; PROTEIN;
D O I
10.3390/molecules23102630
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Natural products are an abundant source of potential drugs, and their diversity makes them a rich and viable prospective source of bioactive cannabinoid ligands. Cannabinoid receptor 1 (CB1) antagonists are clinically established and well documented as potential therapeutics for treating obesity, obesity-related cardiometabolic disorders, pain, and drug/substance abuse, but their associated CNS-mediated adverse effects hinder the development of potential new drugs and no such drug is currently on the market. This limitation amplifies the need for new agents with reduced or no CNS-mediated side effects. We are interested in the discovery of new natural product chemotypes as CB1 antagonists, which may serve as good starting points for further optimization towards the development of CB1 therapeutics. In search of new chemotypes as CB1 antagonists, we screened the in silico purchasable natural products subset of the ZINC12 database against our reported CB1 receptor model using the structure-based virtual screening (SBVS) approach. A total of 18 out of 192 top-scoring virtual hits, selected based on structural diversity and key protein-ligand interactions, were purchased and subjected to in vitro screening in competitive radioligand binding assays. The in vitro screening yielded seven compounds exhibiting >50% displacement at 10 mu M concentration, and further binding affinity (K-i and IC50) and functional data revealed compound 16 as a potent and selective CB1 inverse agonist (K-i = 121 nM and EC50 = 128 nM) while three other compounds-2, 12, and 18-were potent but nonselective CB1 ligands with low micromolar binding affinity (K-i). In order to explore the structure-activity relationship for compound 16, we further purchased compounds with > 80% similarity to compound 16, screened them for CB1 and CB2 activities, and found two potent compounds with sub-micromolar activities. Most importantly, these bioactive compounds represent structurally new natural product chemotypes in the area of cannabinoid research and could be considered for further structural optimization as CB1 ligands.
引用
收藏
页数:18
相关论文
共 50 条
  • [41] Synthesis and pharmacological characterization of functionalized 6-piperazin-1-yl-purines as cannabinoid receptor 1 (CB1) inverse agonists
    Amato, George S.
    Manke, Amruta
    Vasukutta, Vineetha
    Wiethe, Robert W.
    Snyder, Rodney W.
    Runyon, Scott P.
    Maitra, Rangan
    [J]. BIOORGANIC & MEDICINAL CHEMISTRY, 2018, 26 (15) : 4518 - 4531
  • [42] Identification of potent bovine viral diarrhea virus inhibitors by a structure-based virtual screening approach
    Castro, Eliana F.
    Casal, Juan J.
    Espana de Marco, Maria J.
    Battini, Leandro
    Fabiani, Macias
    Fernandez, Gabriela A.
    Bruno, Ana M.
    Cavallaro, Lucia, V
    Bollini, Mariela
    [J]. BIOORGANIC & MEDICINAL CHEMISTRY LETTERS, 2019, 29 (02) : 262 - 266
  • [43] Identification of potent catalytic inhibitors of human DNA topoisomerase II by structure-based virtual screening
    Dong, Guoqiang
    Wu, Ying
    Sun, Ying
    Liu, Na
    Wu, Shanchao
    Zhang, Wannian
    Sheng, Chunquan
    [J]. MEDCHEMCOMM, 2018, 9 (07) : 1142 - 1146
  • [44] Structure-Based Design, Synthesis, and In Vivo Antinociceptive Effects of Selective A1 Adenosine Receptor Agonists
    Petrelli, Riccardo
    Scortichini, Mirko
    Belardo, Carmela
    Boccella, Serena
    Luongo, Livio
    Capone, Fabio
    Kachler, Sonja
    Vita, Patrizia
    Del Bello, Fabio
    Maione, Sabatino
    Lavecchia, Antonio
    Klotz, Karl-Norbert
    Cappellacci, Loredana
    [J]. JOURNAL OF MEDICINAL CHEMISTRY, 2018, 61 (01) : 305 - 318
  • [45] Discovery of Novel μ-Opioid Receptor Inverse Agonist from a Combinatorial Library of Tetrapeptides through Structure-Based Virtual Screening
    Poli, Giulio
    Dimmito, Marilisa Pia
    Mollica, Adriano
    Zengin, Gokhan
    Benyhe, Sandor
    Zador, Ferenc
    Stefanucci, Azzurra
    [J]. MOLECULES, 2019, 24 (21):
  • [46] Structure-Based Understanding of Binding Affinity and Mode of Estrogen Receptor α Agonists and Antagonists
    Lee, Sehan
    Barron, Mace G.
    [J]. PLOS ONE, 2017, 12 (01):
  • [47] Structure-Based SAR in the Design of Selective or Bifunctional Nociceptin (NOP) Receptor Agonists
    Meyer, Michael E.
    Doshi, Arpit
    Yasuda, Dennis
    Zaveri, Nurulain T.
    [J]. AAPS JOURNAL, 2021, 23 (03)
  • [48] Structure-Based Evolution of G Protein-Biased μ-Opioid Receptor Agonists
    Wang, Haoqing
    Hetzer, Florian
    Huang, Weijiao
    Qu, Qianhui
    Meyerowitz, Justin
    Kaindl, Jonas
    Huebner, Harald
    Skiniotis, Georgios
    Kobilka, Brian K.
    Gmeiner, Peter
    [J]. ANGEWANDTE CHEMIE-INTERNATIONAL EDITION, 2022, 61 (26)
  • [49] Structure-Based Design and Discovery of New M2 Receptor Agonists
    Fish, Inbar
    Stoessel, Anne
    Eitel, Katrin
    Valant, Celine
    Albold, Sabine
    Huebner, Harald
    Moeller, Dorothee
    Clark, Mary J.
    Sunahara, Roger K.
    Christopoulos, Arthur
    Shoichet, Brian K.
    Gmeiner, Peter
    [J]. JOURNAL OF MEDICINAL CHEMISTRY, 2017, 60 (22) : 9239 - 9250
  • [50] Actives-Based Receptor Selection Strongly Increases the Success Rate in Structure-Based Drug Design and Leads to Identification of 22 Potent Cancer Inhibitors
    Hantz, Eric R.
    Lindert, Steffen
    [J]. JOURNAL OF CHEMICAL INFORMATION AND MODELING, 2022, 62 (22) : 5675 - 5687