Evidence map›Paper›PMID 41232764›Full record

ReviewJournal of advanced research2026

Unraveling competitive protein interactions: A critical step toward improved production and therapeutics.

Yuan Tian, Xiao-Yue Zhang, Mehtab Muhammad Aslam, Muhammad Yahya Tahir, Meisam Zargar, Jingjing Huang, Fu-Yuan Zhu, MoXian Chen, Li-Sheng Wan, Ying-Gao Liu

Abstract readReview
In one paragraph

Review in Journal of advanced research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Yuan TianState Key Laboratory for Development and Utilization of Forest Food Resources, State Key Laboratory of Tree Genetics and Breeding, The Southern Modern Forestry Collaborative Innovation Center, College of Life Sciences, Nanjing Forestry University, Nanjing, 210037, China; Department of Traditional Chinese Medicine and Clinical Laboratory, Shenzhen Children's Hospital, Shenzhen 518038, China.
Xiao-Yue ZhangDepartment of Pathology, The First Affiliated Hospital of Shandong First Medical University and Shandong Provincial Qianfoshan Hospital, Shandong Medicine and Health Key Laboratory of Clinical Pathology, Shandong Lung Cancer Institute, Shandong Institute of Nephrology, Jinan, Shandong, China.
Mehtab Muhammad AslamDivision of Plant Sciences and Technology, College of Agriculture, Food and Natural Resources, University of Missouri, 65211 Columbia, MO, USA.
Muhammad Yahya TahirDepartment of Traditional Chinese Medicine and Clinical Laboratory, Shenzhen Children's Hospital, Shenzhen 518038, China.
Meisam ZargarDepartment of Agrobiotechnology, Institute of Agriculture, RUDN University, Moscow 117198, Russia.
Jingjing HuangDepartment of Plant Biotechnology and Bioinformatics, Ghent University, Technologiepark 71, 9052 Ghent, Belgium; VIB Center for Plant Systems Biology, 9052 Ghent, Belgium.
Fu-Yuan ZhuState Key Laboratory for Development and Utilization of Forest Food Resources, State Key Laboratory of Tree Genetics and Breeding, The Southern Modern Forestry Collaborative Innovation Center, College of Life Sciences, Nanjing Forestry University, Nanjing, 210037, China.
MoXian ChenState Key Laboratory for Development and Utilization of Forest Food Resources, State Key Laboratory of Tree Genetics and Breeding, The Southern Modern Forestry Collaborative Innovation Center, College of Life Sciences, Nanjing Forestry University, Nanjing, 210037, China; Department of Traditional Chinese Medicine and Clinical Laboratory, Shenzhen Children's Hospital, Shenzhen 518038, China. Electronic address: cmx2009920734@gmail.com.
Li-Sheng WanDepartment of Traditional Chinese Medicine and Clinical Laboratory, Shenzhen Children's Hospital, Shenzhen 518038, China. Electronic address: 1875684406@qq.com.
Ying-Gao LiuState Key Laboratory for Development and Utilization of Forest Food Resources, State Key Laboratory of Tree Genetics and Breeding, The Southern Modern Forestry Collaborative Innovation Center, College of Life Sciences, Nanjing Forestry University, Nanjing, 210037, China. Electronic address: liuyg@sdau.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCompetitive protein binding plays a pivotal role in regulating biological processes by influencing how proteins interact with shared ligands or binding sites. Despite its importance, this mechanism often receives limited attention in broader discussions of protein interaction networks. AIM OF REVIEW: This review aims to synthesize insights into competitive protein binding, facilitating a multidisciplinary approach to improve production technology and therapeutic strategies. Establish clear communication channels among team members from diverse fields such as computational scientists, molecular biologists, and clinicians, set common goals, and organize efficient workflows to accelerate research progress and practical applications. Understanding and leveraging competitive protein binding can significantly enhance production technologies and precision medicine strategies. KEY SCIENTIFIC CONCEPTS OF REVIEW: This review comprehensively explores both classical and modern methodologies for detecting competitive protein interactions, emphasizing their advantages, limitations, and applications. Furthermore, we analyze cross-species applications ranging from microbial systems to animal pathogenesis, with particular emphasis on the translational implications for human disease treatment and drug development. The successful drug treatment strategies such as Bevacizumab, Pembrolizumab, and Gefitinib all stem from a profound understanding and application of competitive protein binding. Ultimately, we propose a multidisciplinary framework connecting computational prediction, biochemical validation, and clinical translation to accelerate precision medicine and bioproduction optimization.

Indexed as

Binding, CompetitiveProtein Interaction MapsProteinsAnimalsBinding SitesComputational BiologyHumansLigandsProtein BindingLigandsProteinsAlternative splicingCompetitive protein bindingDisease mechanism researchDrug developmentMicroorganismNon-mammalianPlants

Identifiers

PMID41232764
PMCPMC13453799

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.