Evidence map›Paper›PMID 37122540›Full record

ArticleRSC medicinal chemistry2023

Computational design of a cyclic peptide that inhibits the CTLA4 immune checkpoint.

Ravindra Thakkar, Deepa Upreti, Susumu Ishiguro, Masaaki Tamura, Jeffrey Comer

Open access · hybridAbstract read
In one paragraph

Article in RSC medicinal chemistry, 2023. 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
4.1field-weighted citation impact, top 6% of its field
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, 18 citations in OpenAlex.

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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

5 authors at 1 institution in 1 country.

Ravindra ThakkarDepartment of Anatomy and Physiology, Kansas State University 1620 Denison Avenue Manhattan Kansas USA jeffcomer@ksu.edu +1 785 532 6311.ORCID https://orcid.org/0000-0002-2541-0802
Deepa UpretiDepartment of Anatomy and Physiology, Kansas State University 1620 Denison Avenue Manhattan Kansas USA jeffcomer@ksu.edu +1 785 532 6311.
Susumu IshiguroDepartment of Anatomy and Physiology, Kansas State University 1620 Denison Avenue Manhattan Kansas USA jeffcomer@ksu.edu +1 785 532 6311.ORCID https://orcid.org/0000-0002-3268-7754
Masaaki TamuraDepartment of Anatomy and Physiology, Kansas State University 1620 Denison Avenue Manhattan Kansas USA jeffcomer@ksu.edu +1 785 532 6311.
Jeffrey ComerDepartment of Anatomy and Physiology, Kansas State University 1620 Denison Avenue Manhattan Kansas USA jeffcomer@ksu.edu +1 785 532 6311.ORCID https://orcid.org/0000-0003-4437-1260
Kansas State University · US

Funding

Mentoring CoreP20GM103418 · NIGMS · UNIVERSITY OF KANSAS MEDICAL CENTER · PI Douglas E Wright · 2012 to 2026
$63.0M
Midwest Biomedical Accelerator Consortium: MBArCU01HL152410 · NHLBI · UNIVERSITY OF MISSOURI-COLUMBIA · PI FAY, WILLIAM P, GRANT, SHEILA ANN · 2019 to 2023
$5.6M
Cancer-targeted local pulmonary immunotherapy with PD-L1 inhibitory peptide secretory genes for the treatment of lung cancerR15CA219919 · NCI · KANSAS STATE UNIVERSITY · PI COMER, JEFFREY ROBERT, TAMURA, MASAAKI · 2017 to 2017
$380k
NCI NIH HHS R15 CA219919NHLBI NIH HHS U01 HL152410NIGMS NIH HHS P20 GM103418
6 · The paper itself

Abstract

Proteins involved in immune checkpoint pathways, such as CTLA4, PD1, and PD-L1, have become important targets for cancer immunotherapy; however, development of small molecule drugs targeting these pathways has proven difficult due to the nature of their protein-protein interfaces. Here, using a hierarchy of computational techniques, we design a cyclic peptide that binds CTLA4 and follow this with experimental verification of binding and biological activity, using bio-layer interferometry, cell culture, and a mouse tumor model. Beginning from a template excised from the X-ray structure of the CTLA4:B7-2 complex, we generate several peptide sequences using flexible docking and modeling steps. These peptides are cyclized head-to-tail to improve structural and proteolytic stability and screened using molecular dynamics simulation and MM-GBSA calculation. The standard binding free energies for shortlisted peptides are then calculated in explicit-solvent simulation using a rigorous multistep technique. The most promising peptide, cyc(EIDTVLTPTGWVAKRYS), yields the standard free energy -6.6 ± 3.5 kcal mol

Identifiers

PMID37122540
PMCPMC10131585
OpenAlexW4322749761

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.