PLoS computational biology

Molecular study of different effects of serotonin 2A receptor modulators

Updated

Abstract

Essence

This study suggests that weaker 5-HT2A receptor activation may separate antidepressant effects from hallucinations.

Evidence

This molecular dynamics analysis compared bound to antipsychotics, potential non-hallucinogens, and hallucinogens to identify ligand-dependent receptor conformations and inferred that modest activation differs from excessive activation.

Caveat

The evidence is computational and inferential, so the proposed antidepressant-without-hallucination window was not demonstrated in animals or patients.

Simplified

Key figures

Fig 1
Key structural features and ligand molecules of the serotonin-2A receptor ()
Highlights structural features and ligand diversity that frame receptor conformations linked to drug effects.
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  • Panel A
    The serotonin-2A receptor structure with important side chains and motifs highlighted, including TM5 bulge, , , , and .
  • Panel B
    Intracellular side of 5-HT2AR showing active (red) and inactive (blue) conformations with arrows indicating distances between helices TM2-6 and TM3-7.
  • Panel C
    Chemical structures of ligands used for molecular dynamics simulations: Zotepine, Risperidone, (R)-69, Lisuride, LSD, 25CN-NBOH, and IHCH-7086.
Fig 2
of molecular dynamics simulations and receptor structures
Frames a clear contrast in molecular conformations between G-coupled and psychedelic receptor states
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  • Panels A–B
    Loadings for each (DOF) on the first two principal components (PC1 and PC2), showing positive and negative contributions of different molecular features
  • Panel C
    Projection of 15 simulations and onto PC1 and PC2, with clusters visually separated into non-G-coupled, G-coupled, and psychedelic groups
Fig 3
Time series of and RMSD in serotonin-2A receptor simulations
Frames receptor conformational changes over time with and without , highlighting dynamic structural differences.
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  • Panels A–C
    Trajectories from simulations 2b, 5, and 7 showing TM2–6 distance (Å) versus (Å) without G protein; color indicates time (µs).
  • Panels D–F
    Corresponding trajectories from simulations 10, 12, and 14 with G protein present; color indicates time (µs).
Fig 4
Side chain conformations of in serotonin-2A receptor with and without
Highlights distinct side chain conformations linked to receptor states and ligand types including hallucinogens and antagonists.
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  • Panels A
    χ1 and χ2 angles of the W336 tryptophan switch shown for G protein absent (1-8) and present (9-15); 'Trp On' cluster (cyan) and 'Trp Off' cluster (orange) are visible, with an 'Alternative' (purple) also present.
  • Panels B
    χ1 and χ2 angles of the F332 phenylalanine switch shown for G protein absent (1-8) and present (9-15); two conformations labeled 'Phe gauche' and 'Phe anti' are visible.
  • Panel C
    Overlay of 'on' tryptophan switch (cyan) with hallucinogen, 'off' switch (orange) with antagonist zotepine, and 'alternative' rotamer (purple) with (R)-69.
  • Panel D
    Active and inactive states of the showing F332 in gauche and anti-like conformations with W6x48.
  • Panel E
    Structure of the '' blocked by antagonist zotepine.
Fig 5
Inter-side chain distances in serotonin-2A receptor with different ligands and presence
Highlights how ligand type and G protein presence visibly alter key receptor side chain distances linked to receptor conformation
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  • Panels A-B
    3D receptor structures highlighting side chains W6x48, N7x49, Y5x58, Y7x53 with (R)-69 (A) and 25CN-NBOH (B); TM5 bulge and TM7 distortion noted
  • Panels C (top row)
    Normalized histograms of distance between W336 and N376 without G protein; (R)-69 and 25CN-NBOH show distinct distance distributions
  • Panels C (bottom row)
    Normalized histograms of W336-N376 distance with G protein; distance distributions shift compared to no G protein
  • Panels D (top row)
    Normalized histograms of distance between Y254 and Y380 hydroxyl-oxygens without G protein; ligand-dependent distance variations observed
  • Panels D (bottom row)
    Normalized histograms of Y254-Y380 distance with G protein; distance distributions differ from no G protein condition
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Full Text

What this is

  • This research investigates the serotonin-2A receptor () and its role in mental health treatments.
  • It focuses on how different ligands interact with the receptor, influencing its conformational states.
  • The study employs molecular dynamics simulations to explore the receptor's behavior with various compounds, including hallucinogens and non-hallucinogens.

Essence

  • Modest activation of the serotonin-2A receptor () can yield antidepressant effects without inducing hallucinations. This study identifies how different ligands affect the receptor's conformational states, suggesting pathways for developing non-hallucinogenic antidepressants.

Key takeaways

  • Modest activation of could lead to antidepressant effects while avoiding hallucinations. This finding indicates that the receptor's activation level is crucial for therapeutic outcomes.
  • The study reveals that different ligands induce distinct conformational states in the . This differential activation could guide the design of safer antidepressants with fewer side effects.
  • Molecular dynamics simulations demonstrate that the presence of intracellular G proteins is essential for the receptor to achieve a fully activated conformation. This suggests that both ligand properties and intracellular interactions are critical for receptor function.

Caveats

  • The findings are based on molecular dynamics simulations, which may not fully capture the complexity of biological systems. Experimental validation is necessary to confirm these results.
  • The potential for abuse with modest activation through microdosing remains a concern. This complicates the therapeutic application of such strategies.

Definitions

  • 5-HT2AR: A serotonin receptor subtype involved in various mental health conditions, targeted for antidepressant drug development.
  • molecular dynamics (MD) simulations: Computational methods used to model the physical movements of atoms and molecules over time.

Simplified

Funding

Competing interests

0 of 3
authors report competing interests
3 report none
PubMed

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