Liang Cheng Source Confirmed

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

High Impact

John Brown University

faculty

45 h-index 312 pubs 6,859 cited

Research Areas

Bioinformatics and Genomic Networks Cancer-related molecular mechanisms research Computational Drug Discovery Methods RNA modifications and cancer MicroRNA in disease regulation Prostate Cancer Treatment and Research Bladder and Urothelial Cancer Treatments Renal cell carcinoma treatment

Links

ORCID

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OverviewAI-generated summary

Dr. Liang Cheng leads a research group at John Brown University focused on the intersection of bioinformatics, genomic networks, and cancer biology. His work encompasses computational drug discovery methods, particularly in the context of RNA modifications and microRNA's role in disease regulation. Cheng's research extends to various cancer types, including prostate, bladder, and renal cell carcinomas, with the aim of improving diagnosis and treatment strategies. His group develops and applies computational tools to understand complex biological systems, as demonstrated by their work on databases cataloging gut microbe target genes and gut microbiota dysbiosis. Additionally, they are actively engaged in developing novel computational models for predicting compound-protein binding affinity, as well as exploring innovative materials like vascularized polypeptide hydrogels for therapeutic applications. His overarching research interests lie in deciphering cancer-related molecular mechanisms and leveraging computational approaches for drug discovery.

Metrics

h-index: 45
Publications: 312
Citations: 6,859

Selected Publications

Multi-omics integration reveals functional signatures of gut microbiome in atherosclerosis (2025) DOI
Nanomaterials intervene in cell senescence to reinforce cancer therapy (2025) DOI
Faecalibacterium prausnitzii prevents age-related heart failure by suppressing ferroptosis in cardiomyocytes through butyrate-mediated LCN2 regulation (2025) DOI
Accurate cross-species 5mC detection for Oxford Nanopore sequencing in plants with DeepPlant (2025) DOI
gutMGene v2.0: an updated comprehensive database for target genes of gut microbes and microbial metabolites (2024) DOI
The high molecular weight and large particle size and high crystallinity of starch increase gelatinization temperature and retrogradation in glutinous rice (2024) DOI
Single‐cell <scp>RNA</scp> sequencing reveals the heterogeneity of <scp>MYH11</scp>+ tumour‐associated fibroblasts between left‐sided and right‐sided colorectal cancer (2024) DOI
Integrating carbon and water footprint into nature-based solution (NBS) for urban planning in a highly built-up area in Guangzhou, China (2024) DOI
Wound healing potential of silver nanoparticles from Hybanthus enneaspermus on rats (2024) DOI
Attention mechanism models for precision medicine (2024) DOI
Effect of the gut microbiome, plasma metabolome, peripheral cells, and inflammatory cytokines on obesity: a bidirectional two-sample Mendelian randomization study and mediation analysis (2024) DOI
SCancerRNA: Expression at the Single-cell Level and Interaction Resource of Non-coding RNA Biomarkers for Cancers (2024) DOI
Multi-power sources joint optimal scheduling model considering nuclear power peak regulation (2024) DOI
Node-adaptive graph Transformer with structural encoding for accurate and robust lncRNA-disease association prediction (2024) DOI
Physicochemical properties and molecular mechanisms of different resistant starch subtypes in rice (2024) DOI