AI-driven pan-proteome analyses reveal insights into the biohydrometallurgical properties of

Liangzhi Li, Lei Zhou, Chengying Jiang, Zhenghua Liu, Delong Meng, Feng Luo, Qiang He, Huaqun Yin

Abstract read

In one paragraph

Article in Frontiers in microbiology, 2023. 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.

Drug target mining and in silico screening of Tibetan plant metabolites for potential alleviation of Oroya fever, a neglected tropical disease.Scientific reports · 2026
Article
Revolutionary Point-of-Care Wearable Diagnostics for Early Disease Detection and Biomarker Discovery through Intelligent Technologies.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
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

8 authors.

Liangzhi LiSchool of Minerals Processing and Bioengineering, Central South University, Changsha, China.

Lei ZhouBeijing Research Institute of Chemical Engineering and Metallurgy, Beijing, China.

Chengying JiangState Key Laboratory of Microbial Resources, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China.

Zhenghua LiuSchool of Minerals Processing and Bioengineering, Central South University, Changsha, China.

Delong MengSchool of Minerals Processing and Bioengineering, Central South University, Changsha, China.

Feng LuoSchool of Computing, Clemson University, Clemson, SC, United States.

Qiang HeDepartment of Civil and Environmental Engineering, University of Tennessee, Knoxville, Knoxville, TN, United States.

Huaqun YinSchool of Minerals Processing and Bioengineering, Central South University, Changsha, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microorganism-mediated biohydrometallurgy, a sustainable approach for metal recovery from ores, relies on the metabolic activity of acidophilic bacteria.

Indexed as

Acidithiobacilliabiohydrometallurgygene co-occurrence network analysisprotein structure predictionproteome

Identifiers

PMID37744906

DOI10.3389/fmicb.2023.1243987

PMCPMC10512742

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.