Evidence map›Paper›PMID 35233453›Full record

ArticleACS central science2022

Cryo-EM, Protein Engineering, and Simulation Enable the Development of Peptide Therapeutics against Acute Myeloid Leukemia.

Kaiming Zhang, Naoki Horikoshi, Shanshan Li, Alexander S Powers, Mikhail A Hameedi, Grigore D Pintilie, Hee-Don Chae, Yousuf A Khan, Carl-Mikael Suomivuori, Ron O Dror and 3 more

Abstract read
In one paragraph

Article in ACS central science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Protein Gas Vesicles ofACS nano · 2024
    Article
  3. Article
  4. Article
  5. Cryo-EM structure determination of small therapeutic protein targets at 3 Å-resolution using a rigid imaging scaffold.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  6. Review
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

13 authors.

Kaiming ZhangMOE Key Laboratory for Cellular Dynamics and Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230027, China.ORCID https://orcid.org/0000-0003-0414-4776
Naoki HorikoshiLife Science Center for Survival Dynamics, University of Tsukuba, Tsukuba, Ibaraki 305-8577, Japan.
Shanshan LiMOE Key Laboratory for Cellular Dynamics and Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230027, China.
Alexander S PowersDepartment of Chemistry, Stanford University, Stanford, California 94305, United States.
Mikhail A HameediDepartment of Structural Biology, Stanford University, Stanford, California 94305, United States.
Grigore D PintilieDepartment of Bioengineering, Stanford University, Stanford, California 94305, United States.
Hee-Don ChaeDepartment of Pediatrics, Stanford University School of Medicine, Stanford, California 94305, United States.
Yousuf A KhanDepartment of Computer Science, Stanford University, Stanford, California 94305, United States.ORCID https://orcid.org/0000-0003-0201-2796
Carl-Mikael SuomivuoriDepartment of Computer Science, Stanford University, Stanford, California 94305, United States.
Ron O DrorDepartment of Computer Science, Stanford University, Stanford, California 94305, United States.ORCID https://orcid.org/0000-0002-6418-2793
Kathleen M SakamotoDepartment of Pediatrics, Stanford University School of Medicine, Stanford, California 94305, United States.
Wah ChiuDepartment of Bioengineering, Stanford University, Stanford, California 94305, United States.ORCID https://orcid.org/0000-0002-8910-3078
Soichi WakatsukiDepartment of Structural Biology, Stanford University, Stanford, California 94305, United States.ORCID https://orcid.org/0000-0001-5896-7968

Funding

3 D ELECTRON MICROSCOPY OF MACROMOLECULES (5P41RR002250-27)P41GM103832 · NIGMS · STANFORD UNIVERSITY · PI CHIU, WAH · 2012 to 2019
$15.1M
Unified Data Resource for Large Complexes Determined by Cryo-Electron MicroscopyR01GM079429 · NIGMS · STANFORD UNIVERSITY · PI CHIU, WAH · 2007 to 2021
$11.6M
Acquisition of a 300 kV Electron Microscope for Structural BiologyS10OD021600 · OD · STANFORD UNIVERSITY · PI CHIU, WAH · 2016 to 2016
$2.0M
NIGMS NIH HHS P41 GM103832NIGMS NIH HHS R01 GM079429NIH HHS S10 OD021600
6 · The paper itself

Abstract

Cryogenic electron microscopy (cryo-EM) has emerged as a viable structural tool for molecular therapeutics development against human diseases. However, it remains a challenge to determine structures of proteins that are flexible and smaller than 30 kDa. The 11 kDa KIX domain of CREB-binding protein (CBP), a potential therapeutic target for acute myeloid leukemia and other cancers, is a protein which has defied structure-based inhibitor design. Here, we develop an experimental approach to overcome the size limitation by engineering a protein double-shell to sandwich the KIX domain between apoferritin as the inner shell and maltose-binding protein as the outer shell. To assist homogeneous orientations of the target, disulfide bonds are introduced at the target-apoferritin interface, resulting in a cryo-EM structure at 2.6 Å resolution. We used molecular dynamics simulations to design peptides that block the interaction of the KIX domain of CBP with the intrinsically disordered pKID domain of CREB. The double-shell design allows for fluorescence polarization assays confirming the binding between the KIX domain in the double-shell and these interacting peptides. Further cryo-EM analysis reveals a helix-helix interaction between a single KIX helix and the best peptide, providing a possible strategy for developments of next-generation inhibitors.

Identifiers

PMID35233453
PMCPMC8875425

What OpenQuestion holds

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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.