Evidence map›Paper›PMID 38319142›Full record

ArticleJournal of the American Chemical Society2024

Predicting Mutational Effects on Ca

Yue Zhang, Kang Wu, Yuqing Li, Song Wu, Arieh Warshel, Chen Bai

Abstract read
In one paragraph

Article in Journal of the American Chemical Society, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Exploring the Activation Process of the Glycine Receptor.Journal of the American Chemical Society · 2024
    Article
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

6 authors.

Yue ZhangWarshel Institute for Computational Biology, School of Life and Health Sciences, School of Medicine, The Chinese University of Hong Kong (Shenzhen), Shenzhen 518172, China.ORCID 0000-0001-9609-7879
Kang WuSouth China Hospital, Health Science Center, Shenzhen University, Shenzhen 518116, China.
Yuqing LiSouth China Hospital, Health Science Center, Shenzhen University, Shenzhen 518116, China.
Song WuSouth China Hospital, Health Science Center, Shenzhen University, Shenzhen 518116, China.ORCID 0000-0003-3504-1630
Arieh WarshelDepartment of Chemistry, University of Southern California, Los Angeles, California 90089-1062, United States.ORCID 0000-0001-7971-5401
Chen BaiWarshel Institute for Computational Biology, School of Life and Health Sciences, School of Medicine, The Chinese University of Hong Kong (Shenzhen), Shenzhen 518172, China.ORCID 0000-0003-4560-3019

Funding

Multiscale Simulations of Biological Systems and ProcessesR35GM122472 · NIGMS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI ARIEH WARSHEL · 2017 to 2026
$5.0M
NIGMS NIH HHS R35 GM122472
6 · The paper itself

Abstract

The dysfunction and defects of ion channels are associated with many human diseases, especially for loss-of-function mutations in ion channels such as cystic fibrosis transmembrane conductance regulator mutations in cystic fibrosis. Understanding ion channels is of great current importance for both medical and fundamental purposes. Such an understanding should include the ability to predict mutational effects and describe functional and mechanistic effects. In this work, we introduce an approach to predict mutational effects based on kinetic information (including reaction barriers and transition state locations) obtained by studying the working mechanism of target proteins. Specifically, we take the Ca

Indexed as

Chloride ChannelsChloridesAnoctamin-1CalciumHumansMutationSignal TransductionAnoctamin-1CalciumChloride ChannelsChlorides

Identifiers

PMID38319142
PMCPMC12721494

What OpenQuestion holds

Textmetadata
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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.