Evidence map›Paper›PMID 35762723›Full record

ArticleProtein science : a publication of the Protein Society2022

More is simpler: Decomposition of ligand-binding affinity for proteins being disordered.

Xiaohui Wang, Bin Chong, Zhaoxi Sun, Hao Ruan, Yingguang Yang, Pengbo Song, Zhirong Liu

Abstract read
In one paragraph

Article in Protein science : a publication of the Protein Society, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
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  4. More is simpler: Decomposition of ligand-binding affinity for proteins being disordered.Protein science : a publication of the Protein Society · 2022
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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

7 authors.

Xiaohui WangCollege of Chemistry and Molecular Engineering, and Beijing National Laboratory for Molecular Sciences (BNLMS), Peking University, Beijing, China.
Bin ChongSchool of Economics and Management, Tsinghua University, Beijing, China.
Zhaoxi SunCollege of Chemistry and Molecular Engineering, and Beijing National Laboratory for Molecular Sciences (BNLMS), Peking University, Beijing, China.ORCID 0000-0001-8311-7797
Hao RuanCollege of Chemistry and Molecular Engineering, and Beijing National Laboratory for Molecular Sciences (BNLMS), Peking University, Beijing, China.
Yingguang YangSchool of Cyberscience, University of Science and Technology of China, Hefei, China.
Pengbo SongCollege of Chemistry and Molecular Engineering, and Beijing National Laboratory for Molecular Sciences (BNLMS), Peking University, Beijing, China.
Zhirong LiuCollege of Chemistry and Molecular Engineering, and Beijing National Laboratory for Molecular Sciences (BNLMS), Peking University, Beijing, China.ORCID 0000-0001-5070-8048

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In statistical mechanics, it is well known that the huge number of degrees of freedom does not complicate the problem as it seems, but actually greatly simplifies the analysis (e.g., to give a Boltzmann distribution). Here, we reveal that the ensemble averaging from the vast conformations of intrinsically disordered proteins (IDPs) greatly simplifies the nature of binding affinity, which can be reliably decomposed into a sum of the ligandability of IDP and the capacity of ligand. Such an unexpected regularity is applied to facilitate the virtual screening upon IDPs. It also provides essential insight in understanding the specificity difference between IDPs and conventional ordered proteins since the specificity is caused by deviation from the baseline behavior of protein-ligand binding.

Indexed as

Intrinsically Disordered ProteinsLigandsProtein BindingIntrinsically Disordered ProteinsLigandsaffinitydruggabilitydruglikenessintrinsically disordered proteinsleadlikenessligandabilitymolecular dockingspecificityvirtual screening

Identifiers

PMID35762723
PMCPMC9214758

What OpenQuestion holds

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Registered trials

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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.