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Yorodumi- PDB-9pln: Locally-refined structure of alpha2a adrenergic receptor in compl... -
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Open data
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Basic information
| Entry | Database: PDB / ID: 9pln | |||||||||||||||||||||||||||||||||
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| Title | Locally-refined structure of alpha2a adrenergic receptor in complex with Go heterotrimer, scFv16, and N-(5-methylnaphthalen-1-yl)pyridin-4-amine (compound 4905) | |||||||||||||||||||||||||||||||||
Components | Alpha-2A adrenergic receptor | |||||||||||||||||||||||||||||||||
Keywords | MEMBRANE PROTEIN / Receptor / Drug / Complex / GPCR / G-protein / scFv16 | |||||||||||||||||||||||||||||||||
| Function / homology | Function and homology informationnegative regulation of uterine smooth muscle contraction / alpha2-adrenergic receptor activity / Adrenaline signalling through Alpha-2 adrenergic receptor / alpha-2C adrenergic receptor binding / epinephrine binding / phospholipase C-activating adrenergic receptor signaling pathway / alpha-1B adrenergic receptor binding / negative regulation of norepinephrine secretion / negative regulation of insulin secretion involved in cellular response to glucose stimulus / negative regulation of epinephrine secretion ...negative regulation of uterine smooth muscle contraction / alpha2-adrenergic receptor activity / Adrenaline signalling through Alpha-2 adrenergic receptor / alpha-2C adrenergic receptor binding / epinephrine binding / phospholipase C-activating adrenergic receptor signaling pathway / alpha-1B adrenergic receptor binding / negative regulation of norepinephrine secretion / negative regulation of insulin secretion involved in cellular response to glucose stimulus / negative regulation of epinephrine secretion / negative regulation of calcium ion-dependent exocytosis / response to alcohol / heterotrimeric G-protein binding / intestinal absorption / positive regulation of potassium ion transport / thioesterase binding / dopaminergic synapse / thermoception / Surfactant metabolism / adenylate cyclase-inhibiting adrenergic receptor signaling pathway / norepinephrine binding / positive regulation of membrane protein ectodomain proteolysis / Adrenoceptors / adrenergic receptor signaling pathway / positive regulation of wound healing / response to morphine / negative regulation of calcium ion transport / positive regulation of epidermal growth factor receptor signaling pathway / Rho protein signal transduction / negative regulation of insulin secretion / negative regulation of lipid catabolic process / regulation of vasoconstriction / cellular response to hormone stimulus / adenylate cyclase-activating adrenergic receptor signaling pathway / presynaptic active zone membrane / presynaptic modulation of chemical synaptic transmission / axon terminus / positive regulation of cytokine production / female pregnancy / platelet activation / vasodilation / GABA-ergic synapse / postsynaptic density membrane / epidermal growth factor receptor signaling pathway / adenylate cyclase-inhibiting G protein-coupled receptor signaling pathway / actin cytoskeleton organization / glucose homeostasis / Adrenaline,noradrenaline inhibits insulin secretion / G alpha (z) signalling events / adenylate cyclase-activating G protein-coupled receptor signaling pathway / positive regulation of phosphatidylinositol 3-kinase/protein kinase B signal transduction / DNA replication / G alpha (i) signalling events / basolateral plasma membrane / Ras protein signal transduction / positive regulation of MAPK cascade / signaling receptor complex / positive regulation of cell migration / G protein-coupled receptor signaling pathway / neuronal cell body / positive regulation of cell population proliferation / protein kinase binding / glutamatergic synapse / protein homodimerization activity / plasma membrane / cytoplasm Similarity search - Function | |||||||||||||||||||||||||||||||||
| Biological species | Homo sapiens (human) | |||||||||||||||||||||||||||||||||
| Method | ELECTRON MICROSCOPY / single particle reconstruction / cryo EM / Resolution: 2.8 Å | |||||||||||||||||||||||||||||||||
Authors | Srinivasan, K. / Xu, X. / Mailhot, O. / Manglik, A. / Shoichet, B. | |||||||||||||||||||||||||||||||||
| Funding support | United States, 1items
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Citation | Journal: Nature / Year: 2026Title: Development of a random background to understand ligand optimization. Authors: Xinyu Xu / Olivier Mailhot / Galen J Correy / Xi-Ping Huang / Joao M Braz / Da Shi / Karthik Srinivasan / Kara Zielinski / Yuliia Holota / Yuliia Kuziv / Christos Iliopoulos-Tsoutsouvas / ...Authors: Xinyu Xu / Olivier Mailhot / Galen J Correy / Xi-Ping Huang / Joao M Braz / Da Shi / Karthik Srinivasan / Kara Zielinski / Yuliia Holota / Yuliia Kuziv / Christos Iliopoulos-Tsoutsouvas / Nathan D Levinzon / Yagmur U Doruk / Moira M Rachman / Morgan E Diolaiti / Maisie G V Stevens / Fangyu Liu / Katie L Holland / Harald Hübner / Jing Wang / Yujin Wu / Alan Ashworth / Alexandros Makriyannis / Yuqi Zhang / Yurii S Moroz / Peter Gmeiner / Robert Abel / Aashish Manglik / Allan I Basbaum / Bryan L Roth / James S Fraser / Brian K Shoichet / ![]() Abstract: Ligand optimization is central to drug discovery, with hundreds of analogues often designed and synthesized between an initial hit and a therapeutic candidate. The efficiency of this process is ...Ligand optimization is central to drug discovery, with hundreds of analogues often designed and synthesized between an initial hit and a therapeutic candidate. The efficiency of this process is unclear, partly because there is no random background for optimization to compare against. Such a random background might emerge from systematic random small substitutions across starting ligands, measuring the likelihood of achieving a substantial improvement in affinity or potency, or other property by any single perturbation. Recent literature has suggested that perhaps 10% of analogues with minor modifications improve upon the potency of a parent by tenfold or more, but this number is clouded by reporting bias, intentional improvement and inter-group variability. To begin to establish a background expectation for ligand optimization, here we systematically modified 18 lead molecules across six targets with single-atom changes; 257 compounds were synthesized. Unexpectedly, 11.3% of these random small perturbation analogues improved potency by tenfold or more. Conversely, they typically had worse in vitro pharmacokinetics. Although it was possible to find analogues where the potency increase compensated for inferior exposure and half-life, resulting in more potent compounds in vivo, overall, a frustrated landscape for ligand optimization is revealed. This study begins to establish a background expectation for ligand potency optimization and offers a simple strategy to do so. It also begins to quantify the challenges confronting the field in moving beyond in vitro potency. #1: Journal: bioRxiv / Year: 2026 Title: Toward a Random Background for Ligand Optimization. Abstract: Ligand optimization is central to drug discovery as hundreds of analogs might be designed and synthesized between an initial hit and a therapeutic candidate. The efficiency of this process is ...Ligand optimization is central to drug discovery as hundreds of analogs might be designed and synthesized between an initial hit and a therapeutic candidate. The efficiency of this process is unclear, at least partly because there is no random background for optimization against which to compare. Such a random background might emerge from synthetically accessible but otherwise systematic random small substitutions across starting ligands, measuring likelihood of achieving a substantial improvement in affinity/potency or other property by any single perturbation. Recent literature and ligand-affinity/potency databases suggest that perhaps 10% of analogs with minor modifications improve upon a parent's potency substantially (by ≥10-fold), but this number is clouded by reporting bias, intentional improvement, and inter-group reproducibility. To begin to establish a background expectation for ligand optimization, we comprehensively and systematically modified 18 lead molecules across six targets with single atom changes; 257 compounds were synthesized. Unexpectedly, 11.2% of these random small perturbation analogs improved potency by ≥10-fold over their parents. Conversely, these more potent analogs typically had worse pharmacokinetics (e.g. reduced metabolic stability, lower plasma free fraction). While it was possible to find analogs where the potency increase compensated for inferior exposure and half-life, resulting in more potent compounds in vivo, overall a frustrated landscape for ligand optimization is revealed. This study begins to establish a background expectation for ligand potency optimization and offers a simple strategy to do so. It also begins to quantify the challenges confronting the field in moving beyond in vitro potency. | |||||||||||||||||||||||||||||||||
| History |
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Structure visualization
| Structure viewer | Molecule: Molmil Jmol/JSmol |
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Downloads & links
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Download
| PDBx/mmCIF format | 9pln.cif.gz | 121 KB | Display | PDBx/mmCIF format |
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| PDB format | pdb9pln.ent.gz | Display | PDB format | |
| PDBx/mmJSON format | 9pln.json.gz | Tree view | PDBx/mmJSON format | |
| Others | Other downloads |
-Validation report
| Arichive directory | https://data.pdbj.org/pub/pdb/validation_reports/pl/9pln ftp://data.pdbj.org/pub/pdb/validation_reports/pl/9pln | HTTPS FTP |
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-Related structure data
| Related structure data | ![]() 71718MC ![]() 14abC ![]() 14amC ![]() 14anC ![]() 14aoC ![]() 14apC ![]() 7iiwC ![]() 7iixC ![]() 7iiyC ![]() 7iizC ![]() 7ij0C ![]() 7ij1C ![]() 7ij2C ![]() 7ij3C ![]() 7ij4C ![]() 7ij5C ![]() 7ij6C ![]() 7ij7C ![]() 7ij8C ![]() 7ij9C ![]() 7ijaC ![]() 7ijbC ![]() 7ijcC ![]() 7ijdC ![]() 7ijeC ![]() 7ijfC ![]() 7ijgC ![]() 7ijhC ![]() 7ijiC ![]() 7ijjC ![]() 7ijkC ![]() 7ijlC ![]() 7ijmC ![]() 9ploC M: map data used to model this data C: citing same article ( |
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| Similar structure data | Similarity search - Function & homology F&H Search |
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Links
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Assembly
| Deposited unit | ![]()
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Components
| #1: Protein | Mass: 53643.855 Da / Num. of mol.: 1 Source method: isolated from a genetically manipulated source Source: (gene. exp.) Homo sapiens (human) / Gene: ADRA2A, ADRA2R, ADRAR / Production host: ![]() |
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| #2: Chemical | ChemComp-A1CIU / Mass: 234.296 Da / Num. of mol.: 1 / Source method: obtained synthetically / Formula: C16H14N2 / Feature type: SUBJECT OF INVESTIGATION |
| Has ligand of interest | Y |
| Has protein modification | Y |
-Experimental details
-Experiment
| Experiment | Method: ELECTRON MICROSCOPY |
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| EM experiment | Aggregation state: PARTICLE / 3D reconstruction method: single particle reconstruction |
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Sample preparation
| Component | Name: Alpha2a adrenergic receptor in complex with Go heterotrimer, scFv16, and compound 4905. Type: COMPLEX / Entity ID: #1 / Source: RECOMBINANT | |||||||||||||||||||||||||||||||||||
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| Molecular weight | Experimental value: NO | |||||||||||||||||||||||||||||||||||
| Source (natural) | Organism: Homo sapiens (human) | |||||||||||||||||||||||||||||||||||
| Source (recombinant) | Organism: ![]() | |||||||||||||||||||||||||||||||||||
| Buffer solution | pH: 7.5 Details: CHS was solubilized in LMNG and GDN prior to diluting into buffers. | |||||||||||||||||||||||||||||||||||
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| Specimen | Conc.: 2.6 mg/ml / Embedding applied: NO / Shadowing applied: NO / Staining applied: NO / Vitrification applied: YES | |||||||||||||||||||||||||||||||||||
| Specimen support | Details: 15 mA current / Grid material: GOLD / Grid mesh size: 300 divisions/in. / Grid type: UltrAuFoil R1.2/1.3 | |||||||||||||||||||||||||||||||||||
| Vitrification | Instrument: FEI VITROBOT MARK IV / Cryogen name: ETHANE / Humidity: 100 % / Chamber temperature: 277.15 K |
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Electron microscopy imaging
| Experimental equipment | ![]() Model: Titan Krios / Image courtesy: FEI Company |
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| Microscopy | Model: TFS KRIOS |
| Electron gun | Electron source: FIELD EMISSION GUN / Accelerating voltage: 300 kV / Illumination mode: FLOOD BEAM |
| Electron lens | Mode: BRIGHT FIELD / Nominal magnification: 105000 X / Nominal defocus max: 3000 nm / Nominal defocus min: 1500 nm / Alignment procedure: COMA FREE |
| Specimen holder | Cryogen: NITROGEN / Specimen holder model: FEI TITAN KRIOS AUTOGRID HOLDER |
| Image recording | Average exposure time: 2 sec. / Electron dose: 0.596 e/Å2 / Film or detector model: GATAN K3 (6k x 4k) / Num. of grids imaged: 1 / Num. of real images: 10305 |
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Processing
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| CTF correction | Type: PHASE FLIPPING AND AMPLITUDE CORRECTION | ||||||||||||||||||||||||||||||||
| Particle selection | Num. of particles selected: 6609807 | ||||||||||||||||||||||||||||||||
| 3D reconstruction | Resolution: 2.8 Å / Resolution method: FSC 0.143 CUT-OFF / Num. of particles: 323827 / Symmetry type: POINT | ||||||||||||||||||||||||||||||||
| Atomic model building | B value: 110.6 / Protocol: RIGID BODY FIT | ||||||||||||||||||||||||||||||||
| Atomic model building | PDB-ID: 7EJ8 Accession code: 7EJ8 / Source name: PDB / Type: experimental model | ||||||||||||||||||||||||||||||||
| Refinement | Highest resolution: 2.8 Å Stereochemistry target values: REAL-SPACE (WEIGHTED MAP SUM AT ATOM CENTERS) | ||||||||||||||||||||||||||||||||
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About Yorodumi



Homo sapiens (human)
United States, 1items
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FIELD EMISSION GUN
