Evidence map›Paper›PMID 39107078›Full record

ReviewMolecular pharmacology2024

The Impact of Nanobodies on G Protein-Coupled Receptor Structural Biology and Their Potential as Therapeutic Agents.

David Salom, Arum Wu, Chang C Liu, Krzysztof Palczewski

Abstract readReview
In one paragraph

Review in Molecular pharmacology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Review
  2. Review
  3. Structural analysis of rhodopsin states in megabody complexes.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  4. Structure of the GNature communications · 2025
    Article
  5. Article
  6. Article
  7. Review
  8. Review
  9. GPCR drug discovery: new agents, targets and indications.Nature reviews. Drug discovery · 2025
    Review
  10. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

David SalomGavin Herbert Eye Institute - Center for Translational Vision Research, Department of Ophthalmology (D.S., A.W., K.P.) and Department of Biomedical Engineering (C.C.L.), University of California, Irvine, Irvine, California kpalczew@uci.edu dsalom1@hs.uci.edu arumh2@hs.uci.edu ccl@uci.edu.
Arum WuGavin Herbert Eye Institute - Center for Translational Vision Research, Department of Ophthalmology (D.S., A.W., K.P.) and Department of Biomedical Engineering (C.C.L.), University of California, Irvine, Irvine, California kpalczew@uci.edu dsalom1@hs.uci.edu arumh2@hs.uci.edu ccl@uci.edu.
Chang C LiuGavin Herbert Eye Institute - Center for Translational Vision Research, Department of Ophthalmology (D.S., A.W., K.P.) and Department of Biomedical Engineering (C.C.L.), University of California, Irvine, Irvine, California kpalczew@uci.edu dsalom1@hs.uci.edu arumh2@hs.uci.edu ccl@uci.edu.
Krzysztof PalczewskiGavin Herbert Eye Institute - Center for Translational Vision Research, Department of Ophthalmology (D.S., A.W., K.P.) and Department of Biomedical Engineering (C.C.L.), University of California, Irvine, Irvine, California kpalczew@uci.edu dsalom1@hs.uci.edu arumh2@hs.uci.edu ccl@uci.edu.

Funding

STRUCTURAL STUDIES OF ARRESTINSR01EY009339 · NEI · UNIVERSITY OF WASHINGTON · PI KISER, PHILIP DAVID, PALCZEWSKI, KRZYSZTOF · 1992 to 2025
$16.0M
NEI UCI Center Core Grant for Vision ResearchP30EY034070 · NEI · UNIVERSITY OF CALIFORNIA-IRVINE · PI Vladimir Jivkov Kefalov · 2022 to 2026
$3.7M
Chemical Biology of the Visual PigmentsR01EY034519 · NEI · UNIVERSITY OF CALIFORNIA-IRVINE · PI Philip David Kiser, Krzysztof Palczewski · 2023 to 2026
$2.0M
NEI NIH HHS P30 EY034070NEI NIH HHS R01 EY009339NEI NIH HHS R01 EY034519
6 · The paper itself

Abstract

The family of human G protein-coupled receptors (GPCRs) comprises about 800 different members, with about 35% of current pharmaceutical drugs targeting GPCRs. However, GPCR structural biology, necessary for structure-guided drug design, has lagged behind that of other membrane proteins, and it was not until the year 2000 when the first crystal structure of a GPCR (rhodopsin) was solved. Starting in 2007, the determination of additional GPCR structures was facilitated by protein engineering, new crystallization techniques, complexation with antibody fragments, and other strategies. More recently, the use of camelid heavy-chain-only antibody fragments (nanobodies) as crystallographic chaperones has revolutionized the field of GPCR structural biology, aiding in the determination of more than 340 GPCR structures to date. In most cases, the GPCR structures solved as complexes with nanobodies (Nbs) have revealed the binding mode of cognate or non-natural ligands; in a few cases, the same Nb has acted as an orthosteric or allosteric modulator of GPCR signaling. In this review, we summarize the multiple ingenious strategies that have been conceived and implemented in the last decade to capitalize on the discovery of nanobodies to study GPCRs from a structural perspective. SIGNIFICANCE STATEMENT: G protein-coupled receptors (GPCRs) are major pharmacological targets, and the determination of their structures at high resolution has been essential for structure-guided drug design and for insights about their functions. Single-domain antibodies (nanobodies) have greatly facilitated the structural determination of GPCRs by forming complexes directly with the receptors or indirectly through protein partners.

Indexed as

Receptors, G-Protein-CoupledSingle-Domain AntibodiesAnimalsHumansLigandsProtein ConformationLigandsReceptors, G-Protein-CoupledSingle-Domain Antibodies

Identifiers

PMID39107078
PMCPMC11413913

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.