Abstract
The GPCRs are involved in wide range of physiological functions and pathological conditions and hence they are considered drug targets of immense pharmaceutical importance. Modification of the cell-specific signaling and functioning of the GPCRs provides an excellent opportunity for drug design activities. In view of the diverse and complex nature of GPCR signaling, the proper understanding of receptor structure is essential to illustrate their elusive structure–function relationships for rational drug design by the application of efficient and inexpensive molecular modeling techniques. Despite advances in GPCR protein crystallization, the structural information of most GPCRs is still unclear that necessitates the application of homology modeling techniques to derive protein models for structure based drug design. However low sequence similarity in GPCRs coupled with high structural plasticity may hinder the development of appropriate protein models. In order to circumvent the problems, the development of ligand based models integrated with structure based models may converge to an integrated model duly validated on internal and/or external test set models which may be useful in virtual screening for identifying the hits and in generating the focused libraries for prioritizing the molecules for synthesis. The integrated models may also be helpful in increasing our understanding of drug–receptor interactions.
Abbreviations
- (S)-6-OH-DPAT:
-
(S)-6-hydroxy-2-(dipropylamino)tetralin
- (S)-7-OH-DPAT:
-
(S)-7-hydroxy-2-(dipropylamino)tetralin
- (S)-DPAT:
-
(S)-Dipropylamino tetralin
- 2-AMC:
-
2-(Aminomethyl)chromans
- 2D QSAR:
-
Two-dimensional quantitative structure–activity relationships
- 2-OHNPA:
-
2-Hydroxy-N-n-propylnorapomorphine
- 3D QSAR:
-
Three-dimensional quantitative structure–activity relationship
- 3-PPP:
-
3-(3-Hydroxyphenyl)-N-n-propylpiperidine
- 5-OH-DPAT:
-
5-Hydroxy-2-(dipropylamino)tetralin
- 7-OH-OHBQ:
-
7-Hydroxy-1,2,3,4,4a,5,6,10b-octahydrobenzo[f]quinoline
- 9-OH-OHBQ:
-
9-Hydroxy-1,2,3,4,4a,5,6,10b-octahydrobenzo[f]quinoline
- α1a Adr:
-
α1a adrenergic receptor
- α1b Adr:
-
α1b adrenergic receptor
- α1c Adr:
-
α1c adrenergic receptor
- α2 Adr:
-
α2 adrenergic receptor
- β1 Adr:
-
β1 adrenergic receptor
- β2 Adr:
-
β2 adrenergic receptor
- AAA:
-
Active analog based approaches
- ADTN:
-
6-Amino-5,6,7,8-tetrahydronaphthalene-2,3-diol
- APO:
-
Apomorphine
- Ar:
-
Aromatic
- BPH:
-
Benign prostate hyperplasia
- CADD:
-
Computer aided drug design
- CFP:
-
Common feature pharmacophore
- CHARMm:
-
Chemistry at HARvard Macromolecular mechanics
- CNS:
-
Central nervous system stimulant
- CoMFA:
-
Comparative molecular field analysis
- CoMSIA:
-
Comparative molecular similarity index analysis
- DA:
-
Dopamine
- DHX:
-
Dihydrexidine
- ECL2:
-
Extracellular loop 2
- GIP:
-
GPCR-interacting protein
- Glide XP:
-
Glide extra precision
- GRK:
-
G protein-coupled receptor kinases
- HAl:
-
Hydrophobic aliphatic
- HAr:
-
Hydrophobic aromatic
- HASL:
-
Hypothetical active site lattice
- HBA:
-
Hydrogen bond acceptor
- HBD:
-
Hydrogen bond donor
- HOMO:
-
Highest occupied molecular orbital
- HY:
-
Hydrophobic
- LBDD:
-
Ligand based drug design
- LUMO:
-
Lowest unoccupied molecular orbital
- LUTS:
-
Low urinary tract symptoms
- MDDR:
-
MDL Drug Data Report
- MR:
-
Molar refractivity
- NCE:
-
Novel chemical entity
- NMR:
-
Nuclear magnetic resonance
- NPA:
-
N-n-propylnorapomorphine
- PD:
-
Parkinson’s disease
- PI:
-
Positive ionizable
- RA:
-
Ring aromatic
- RMSD:
-
Root mean square deviation
- SBDD:
-
Structure based drug design
- SSS:
-
Substituent spanned space
- TM:
-
Transmembrane
- VS:
-
Virtual screening
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Saxena, A.K., Bhunia, S.S., Saxena, M. (2017). Integration on Ligand and Structure Based Approaches in GPCRs. In: Lebon, G. (eds) Structure and Function of GPCRs. Topics in Medicinal Chemistry, vol 30. Springer, Cham. https://doi.org/10.1007/7355_2016_24
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