Evidence map›Paper›PMID 34163609›Full record

ArticleChemical science2020

Discovery of cryptic allosteric sites using reversed allosteric communication by a combined computational and experimental strategy.

Duan Ni, Jiacheng Wei, Xinheng He, Ashfaq Ur Rehman, Xinyi Li, Yuran Qiu, Jun Pu, Shaoyong Lu, Jian Zhang

Open access · diamondAbstract read
In one paragraph

Article in Chemical science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers.

0numbers the graph read from it
0cells of the map it votes in
65citing papers in PubMed
6.9field-weighted citation impact, top 2% 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

65 citing papers in PubMed, 130 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Assessing the Performance of BioEmu in Understanding Protein Dynamics.International journal of molecular sciences · 2026
    Article
  6. Article
  7. Review
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Review
  18. Article
  19. Article
  20. Article

5 more citing papers are in PubMed but not listed here.

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

9 authors at 2 institutions in 2 countries.

Duan NiDepartment of Pathophysiology, Key Laboratory of Cell Differentiation and Apoptosis of Chinese Ministry of Education, Shanghai Jiao Tong University, School of Medicine Shanghai 200025 China lushaoyong@yeah.net jian.zhang@sjtu.edu.cn.ORCID https://orcid.org/0000-0002-3902-2843
Jiacheng WeiDepartment of Pathophysiology, Key Laboratory of Cell Differentiation and Apoptosis of Chinese Ministry of Education, Shanghai Jiao Tong University, School of Medicine Shanghai 200025 China lushaoyong@yeah.net jian.zhang@sjtu.edu.cn.ORCID https://orcid.org/0000-0002-7863-1422
Xinheng HeDepartment of Pathophysiology, Key Laboratory of Cell Differentiation and Apoptosis of Chinese Ministry of Education, Shanghai Jiao Tong University, School of Medicine Shanghai 200025 China lushaoyong@yeah.net jian.zhang@sjtu.edu.cn.ORCID https://orcid.org/0000-0001-7813-5480
Ashfaq Ur RehmanDepartment of Pathophysiology, Key Laboratory of Cell Differentiation and Apoptosis of Chinese Ministry of Education, Shanghai Jiao Tong University, School of Medicine Shanghai 200025 China lushaoyong@yeah.net jian.zhang@sjtu.edu.cn.
Xinyi LiDepartment of Pathophysiology, Key Laboratory of Cell Differentiation and Apoptosis of Chinese Ministry of Education, Shanghai Jiao Tong University, School of Medicine Shanghai 200025 China lushaoyong@yeah.net jian.zhang@sjtu.edu.cn.
Yuran QiuDepartment of Pathophysiology, Key Laboratory of Cell Differentiation and Apoptosis of Chinese Ministry of Education, Shanghai Jiao Tong University, School of Medicine Shanghai 200025 China lushaoyong@yeah.net jian.zhang@sjtu.edu.cn.
Jun PuDepartment of Cardiology, Renji Hospital, Shanghai Jiao Tong University, School of Medicine Shanghai 200120 China.
Shaoyong LuDepartment of Pathophysiology, Key Laboratory of Cell Differentiation and Apoptosis of Chinese Ministry of Education, Shanghai Jiao Tong University, School of Medicine Shanghai 200025 China lushaoyong@yeah.net jian.zhang@sjtu.edu.cn.ORCID https://orcid.org/0000-0002-1334-6292
Jian ZhangDepartment of Pathophysiology, Key Laboratory of Cell Differentiation and Apoptosis of Chinese Ministry of Education, Shanghai Jiao Tong University, School of Medicine Shanghai 200025 China lushaoyong@yeah.net jian.zhang@sjtu.edu.cn.ORCID https://orcid.org/0000-0002-6558-791X
Shanghai Jiao Tong University · CNThe University of Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Allostery, which is one of the most direct and efficient methods to fine-tune protein functions, has gained increasing recognition in drug discovery. However, there are several challenges associated with the identification of allosteric sites, which is the fundamental cornerstone of drug design. Previous studies on allosteric site predictions have focused on communication signals propagating from the allosteric sites to the orthosteric sites. However, recent biochemical studies have revealed that allosteric coupling is bidirectional and that orthosteric perturbations can modulate allosteric sites through reversed allosteric communication. Here, we proposed a new framework for the prediction of allosteric sites based on reversed allosteric communication using a combination of computational and experimental strategies (molecular dynamics simulations, Markov state models, and site-directed mutagenesis). The desirable performance of our approach was demonstrated by predicting the known allosteric site of the small molecule MDL-801 in nicotinamide dinucleotide (NAD

Identifiers

PMID34163609
PMCPMC8178949
OpenAlexW3097974261

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.