Drugging specific conformational states of GPCRs: challenges and opportunities for computational chemistry

被引:27
|
作者
Marti-Solano, Maria [1 ]
Schmidt, Denis [2 ]
Kolb, Peter [2 ]
Selent, Jana [1 ]
机构
[1] Pompeu Fabra Univ, Hosp del Mar, Res Programme Biomed Informat, Dept Expt & Hlth Sci,Med Res Inst, Dr Aiguader 88, Barcelona 08003, Spain
[2] Univ Marburg, Dept Pharmaceut Chem, Marbacher Weg 6, D-35032 Marburg, Germany
关键词
PROTEIN-COUPLED RECEPTOR; BETA(2) ADRENERGIC-RECEPTOR; STRUCTURE-BASED PREDICTION; BETA(2)-ADRENERGIC RECEPTOR; ADENOSINE RECEPTOR; CRYSTAL-STRUCTURE; BIASED AGONISM; ACTIVATION; SELECTIVITY; RHODOPSIN;
D O I
10.1016/j.drudis.2016.01.009
中图分类号
R9 [药学];
学科分类号
1007 ;
摘要
Current advances in structural biology for membrane proteins support the existence of multiple Gprotein-coupled receptor (GPCR) conformations. These conformations can be associated to particular receptor states with definite coupling and signaling capacities. Drugging such receptor states represents an opportunity to discover a new generation of GPCR drugs with unprecedented specificity. However, exploiting recently available structural information to develop these drugs is still challenging. In this context, computational structure-based approaches can inform such drug development. In this review, we examine the potential of these approaches and the challenges they will need to overcome to guide the rational discovery of drugs targeting specific GPCR states.
引用
收藏
页码:625 / 631
页数:7
相关论文
共 50 条
  • [1] DRUGGING THE CANCER GENOME: OPPORTUNITIES AND CHALLENGES
    Workman, P.
    ANNALS OF ONCOLOGY, 2012, 23 : 8 - 8
  • [2] Computational Chemistry as Applied in Environmental Research: Opportunities and Challenges
    Sandoval-Pauker, Christian
    Yin, Sheng
    Castillo, Alexandria
    Ocuane, Neidy
    Puerto-Diaz, Diego
    Villagran, Dino
    ACS ES&T ENGINEERING, 2023, 4 (01): : 66 - 95
  • [3] Building computational chemistry software for petascale platforms: Challenges and opportunities
    Rendell, Alistair
    Milthorpe, Josh
    Janes, Pete
    ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 2011, 242
  • [4] Computational Methods for Mapping Ligand Induced Conformational Changes in GPCRs
    Bhattacharya, Supriyo
    Vaidehi, Nagarajan
    BIOPHYSICAL JOURNAL, 2010, 98 (03) : 460A - 460A
  • [5] Materials project: Milestones, challenges, and opportunities in high-throughput computational chemistry
    Montoya, Joseph
    Persson, Kristin
    ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 2017, 254
  • [6] Computational chemistry career opportunities
    Bowen, J. Phillip
    ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 2006, 231
  • [7] Conformational States of Amino Acids in Proteins and Peptides by Means of Computational Chemistry Methods
    Vondrasek, Jiri
    Vymetal, Jiri
    CHEMICKE LISTY, 2016, 110 (05): : 385 - 393
  • [8] Computational epigenomics: challenges and opportunities
    Robinson, Mark D.
    Pelizzola, Mattia
    FRONTIERS IN GENETICS, 2015, 6
  • [9] Challenges and Opportunities for Computational Nanophotonics
    Rockstuhl, Carsten
    2021 CONFERENCE ON LASERS AND ELECTRO-OPTICS EUROPE & EUROPEAN QUANTUM ELECTRONICS CONFERENCE (CLEO/EUROPE-EQEC), 2021,
  • [10] Challenges and opportunities for chemistry in Africa
    Abegaz, Berhanu
    NATURE CHEMISTRY, 2016, 8 (06) : 518 - 522