Cited by 103Cancer Immunotherapy and BiomarkersProtein Structure and DynamicsMonoclonal and Polyclonal Antibodies Research

Structure and Dynamics of PD-L1 and an Ultra-High-Affinity PD-1 Receptor Mutant

Open access
Pascolutti, Roberta, Sun, Xianqiang, Kao, Joseph, Maute, Roy L., Ring, Aaron M., Bowman, Gregory R., Kruse, Andrew C.·2016·Structure

Abstract

The immune checkpoint receptor PD-1 and its ligand, PD-L1, have emerged as key regulators of anti-tumor immunity in humans. Recently, we reported an ultra-high-affinity PD-1 mutant, termed high-affinity consensus (HAC) PD-1, which shows superior therapeutic efficacy in mice compared with antibodies. However, the molecular details underlying the action of this agent remain incompletely understood, and a molecular view of PD-1/PD-L1 interactions in general is only beginning to emerge. Here, we report the structure of HAC PD-1 in complex with PD-L1, showing that it binds PD-L1 using a unique set of polar interactions. Biophysical studies and long-timescale molecular dynamics experiments reveal the mechanisms by which ten point mutations confer a 35,000-fold enhancement in binding affinity, and offer atomic-scale views of the role of conformational dynamics in PD-1/PD-L1 interactions. Finally, we show that the HAC PD-1 exhibits pH-dependent affinity, with pseudo-irreversible binding in a low pH setting akin to the tumor microenvironment.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.str.2016.06.026

Cites

35 of 35 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Several PD-L1-targeting designs generated by constrained hallucination with PD-1 binding motifs followed by Rosetta design had binding affinities in the mid-nanomolar range.

    “Several designs targeting PD-L1 generated by constrained hallucination with binding motifs derived from PD-1 (Table S1) (15), followed by Rosetta design, were found to have binding affinities in the mid-nanomolar range (Fig. S1B–E).”

    From Scaffolding protein functional sites using deep learning (2022) · cites this paper as [15]

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Pascolutti, R., Sun, X., Kao, J., Maute, R. L., Ring, A. M., Bowman, G. R., & Kruse, A. C.
Affiliations
  • Harvard University (US)
  • Washington University in St. Louis (US)
  • Yale University (US)
Corresponding author
Kruse, Andrew C.
Venue
Structure
Publisher
Elsevier BV
Published
2016-10
Volume
24
Issue
10
Pages
1719-1728
ISSN
0969-2126 (ISSN-L)
OpenAlex
W2520448851
Cited by
102
References
35
Citations by year
2026: 8 · 2025: 7 · 2024: 15 · 2023: 13 · 2022: 7 · 2021: 9 · 2020: 15 · 2019: 13 · 2018: 7 · 2017: 8
FWCI
5.21
Type
journal article
Language
en
Open access
Locations
  • Structure (publishedVersion)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion)
  • PubMed Central (acceptedVersion)
Funders
NIH (1DP5OD021345)
Topics
  • Health Sciences › Medicine › Oncology › Cancer Immunotherapy and Biomarkers
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Structure and Dynamics
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Monoclonal and Polyclonal Antibodies Research
Keywords
PD-1, PD-L1, immune checkpoint, ligand-receptor interactions, binding affinity enhancement, point mutations, polar interactions, conformational dynamics, pH-dependent binding, tumor microenvironment, antitumor immunity
MeSH terms
Binding Sites, Humans, Hydrogen-Ion Concentration, Models, Molecular, Protein Binding, Point Mutation, Protein Structure, Secondary, Crystallography, X-Ray, Molecular Dynamics Simulation, B7-H1 Antigen, Programmed Cell Death 1 Receptor

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review