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Biomedical subjects

Yi Zhao

Publications and source records attributed to Yi Zhao.

At least 19 recordsLinked to original sources

Loss of Ku70 promotes mononucleate conidiation and homologous recombination in Phanerochaete chrysosporium.

Lignin is a major constituent of lignocellulose and the most abundant aromatic biopolymer on earth. It provides plants with rigidity and protection, but its recalcitrant nature also presents a significant barrier to lignocellulose valorization. The white-rot fungus Phanerochaete chrysosporium is among nature's most efficient lignin degraders, and its ligninolytic capabilities have been subjected to intensive investigations. Genome editing with precision is crucial for elucidating the in vivo mechanisms of its ligninolytic actions, but genetic manipulations of P. chrysosporium are often plagued by imprecision. This technical nuisance is driven primarily by canonical non-homologous end joining (c-NHEJ), a DNA repair system that requires little homology and depends on the binding of the Ku70/Ku80 heterodimer to double-strand break (DSB) ends. Loss of Ku70 or Ku80 abolishes c-NHEJ and significantly improves genome editing precision in many filamentous fungi, but it has yet to be examined and exploited in P. chrysosporium. Here, we constructed a homozygous ku70Δ mutant in a meiotic homokaryon of clear genetic background. Loss of Ku70 minimally impacts growth but significantly increases homologous recombination frequency from ~2% to ~66%, with ~32% of the latter being homozygous. Unexpectedly, loss of Ku70 also promotes mononucleate conidiation, which may facilitate isolation of homozygous mutants. Taken together, our work provides a valuable genetic tool to understand and exploit P. chrysosporium's remarkable ligninolytic capabilities.IMPORTANCEGenome editing with precision is essential to unraveling the intricacies of P. chrysosporium's exceptional ligninolytic capabilities, but the available tools are generally imprecise due to the dominance of non-homologous recombination, a problem that is further exacerbated by the discontinuation of Novozyme 234. We tackle these challenges by reestablishing protoplast-based transformation with Lywallzyme as an alternative. Importantly, we demonstrate that inactivation of c-NHEJ by deleting ku70 significantly increases gene knockout efficiency and report the unexpected involvement of c-NHEJ in regulating the number of nuclei during conidiation. Our work paves the way for future ventures into understanding ligninolysis in P. chrysosporium and building superior chassis for industrial applications.

Ku70↗

Machine learning identifies ac4C-related prognostic signature and TUBA1C as therapeutic target in COAD.

To explore the role of N4-acetylcytidine (ac4C)-related genes (acRGs) in colon adenocarcinoma (COAD) and identify reliable prognostic biomarkers and potential therapeutic targets. Multi-source transcriptomic datasets (TCGA-COAD, GSE39582, GSE17536) and single-cell RNA-seq data were analyzed. Ten machine learning algorithms were integrated to construct an acRG-based prognostic signature (acRGBS). Immune microenvironment (TME) and genomic profiling were performed, with in vitro functional experiments validating TUBA1C's role. acRGBS, comprising four hub genes (SARAF, CDC42SE2, TSPYL2, TUBA1C), effectively stratified COAD patients into high- and low-risk groups with distinct survival outcomes and was an independent prognostic factor. High-risk patients exhibited increased genomic instability and immunosuppressive TME, while low-risk patients had favorable immunotherapy response. TUBA1C was overexpressed in COAD cells, and its knockdown inhibited proliferation/migration and induced apoptosis. The acRGBS is a robust prognostic tool for COAD, and TUBA1C serves as a candidate therapeutic target, providing new insights for personalized COAD management.

Humans↗

Efferocytosis regulatory factors in atherosclerosis: A preclinical systematic review.

BACKGROUND: Impaired efferocytosis is a key driver of plaque instability during atherosclerosis progression. Efficient clearance of apoptotic cells through efferocytosis relies on the coordinated action of multiple regulatory factors. METHODS: PubMed, Web of Science, ScienceDirect, OVID MEDLINE, and Scopus were searched for studies published up to February 7, 2026. Eligible preclinical studies were systematically reviewed to identify endogenous factors that regulate efferocytosis in atherosclerosis. Clinical evidence was also incorporated to enable a preliminary translational assessment of these regulatory factors. RESULTS: Thirty-five endogenous regulatory factors were identified from 36 included studies, and their functional roles across distinct stages of efferocytosis were characterized. Notably, metabolic regulators such as PKM2, PFKFB3, GLS1, and Drp1 were involved in distinct efferocytosis stages. This suggests that metabolic reprogramming may provide the metabolic support require for efficient efferocytosis and inflammation resolution. Ten factors were supported by preliminary clinical evidence consistent with preclinical data. PKM2 was the only candidate biomarker with prospective observational data. However, its independent predictive value still requires validation in multicenter prospective studies. CONCLUSIONS: This review provides a systematic synthesis of 35 endogenous efferocytosis regulators and elucidates their regulatory network in atherosclerosis based on a functional stage framework. Metabolic reprogramming is identified as a central hub linking efferocytosis efficiency to inflammation resolution. This review offers a new theoretical basis for efferocytosis-targeted intervention strategies.

Animals↗

LLPS-based classification and a novel prognostic signature reveal NRF1 as a therapeutic target in pancreatic cancer.

BACKGROUND: Aberrant liquid-liquid phase separation (LLPS) can alter biomolecular condensate functions and may influence pancreatic tumorigenesis and progression, but the specific role of LLPS regulators in prognosis and the tumor immune microenvironment (TIME) in pancreatic ductal adenocarcinoma (PDAC) remains unclear. METHODS: We integrated transcriptome data of LLPS regulator-related differentially expressed genes (DEGs; n = 298) in a cohort of 176 PDAC patients from TCGA. Three LLPS regulator subtypes (LS1-LS3) were identified through multi-omics analyses, and a prognostic LLPS subtype-related risk model (LRRPC) was developed and validated. Chromatin immunoprecipitation confirmed NRF1 binding to promoters of key risk genes, and in vitro and in vivo experiments assessed the effects of NRF1 targeting on tumor growth. RESULTS: The three LLPS regulator subtypes exhibited significant differences in prognosis, clinical features, genomic alterations, TIME patterns and predicted immunotherapy response. The LRRPC signature predicted prognosis and immunotherapy efficacy across cohorts and was associated with tumor biomarkers and immune infiltration. Nuclear Respiratory Factor 1 (NRF1) directly regulated hub genes such as FAM83A, RHOV and ITGB6, promoting PDAC cell proliferation, while its inhibition induced apoptosis and reduced tumor growth. CONCLUSIONS: This study proposes an LLPS-based stratification framework for PDAC, and the LRRPC model provides an LLPS subtype-related risk score that may assist personalized prognostic assessment and immunotherapy stratification. NRF1 emerges as a promising therapeutic candidate whose targeting can inhibit tumor progression in PDAC experimental models and warrants further evaluation.

Immunotherapy↗

SCMO: a deep learning model integrating the single-cell resolution TME ecosystem and multi-omics for survival prediction in CRC patients.

BACKGROUND: Colorectal cancer (CRC) remains a leading cause of global cancer mortality, highlighting the need for precise survival prediction to guide clinical decisions. Although tissue-level multi-omics is widely utilized for survival prediction, its limited resolution cannot capture tumor heterogeneity. Single-cell RNA sequencing (scRNA-seq) enables dissection of the tumor microenvironment (TME) at cellular resolution, supporting personalized prognostic assessment. METHODS: We collected 213 CRC scRNA-seq samples and established a CRC-specific TME atlas comprising 339,060 cells. Using this atlas as a reference, we deconvolved bulk RNA-seq data from TCGA-CRC cohort with the EcoTyper algorithm to reconstruct TME features. Clinical, genomic, and transcriptomic data were obtained from the Xena platform; microbial data were sourced from the BIC database. We integrated TME and multi-omics features through a self-normalizing neural network to construct a deep learning model (single-cell resolution TME ecosystem with multi-omics data [SCMO]) for survival prediction. To enhance interpretability, we utilized the Integrated Gradients algorithm and spatial transcriptomic data to analyze multi-omics and TME features. We performed anticancer drug screening with tumor necrosis factor receptor-associated protein 1 (TRAP1), a critical feature according to the Integrated Gradients algorithm, as a potential target. RESULTS: We identified 13 survival-related TME features from the CRC-specific atlas: 12 cell states and one multi-cellular ecosystem. SCMO, which combined TME and multi-omics features, improved survival prediction and outperformed existing methods, achieving a concordance index of 0.762. The SCMO demonstrated robust performance for long-term predictions, achieving areas under the curve (AUCs) of 0.752, 0.772, and 0.869 for 1-, 3-, and 5-year predictions in the training set, with corresponding test set AUCs of 0.639, 0.756, and 0.772. TME features from the SCMO model revealed that ecosystem density increased with CRC malignancy. Multi-omics features included TRAP1 as a potential drug target. Drug screening identified saikosaponin A as a novel TRAP1 inhibitor, and its anticancer activity was validated in vitro. We developed SCMO-Lite, a simplified model incorporating 12 high-attribution-weight multi-omics features, which demonstrated robust risk stratification. CONCLUSIONS: SCMO combines analytical precision with biological interpretability, offering novel insights for oncology survival prediction.

Humans↗

Elevated triglyceride-glucose index and risk of thymoma-associated myasthenia gravis: a prospective analysis from the UK Biobank.

BACKGROUND: Thymoma-associated myasthenia gravis (MG) is a clinically significant but uncommon condition, affecting up to half of thymoma patients and associated with worse outcomes than either disease alone. Reliable biomarkers for early risk stratification remain scarce. The triglyceride-glucose (TyG) index and triglyceride-to-high-density lipoprotein cholesterol (TG/HDL-C) ratio are established biomarkers reflecting insulin resistance and dyslipidemia. However, their clinical associations with thymoma-associated MG remain incompletely characterized. METHODS: A total of 501,954 UK Biobank participants were included. After exclusions, 422,397 (313 cases) were analyzed for TyG index and 422,691 (314 cases) for TG/HDL-C ratio. Exposures were stratified into quartiles, and assessed continuously per unit increase. Cox proportional hazards models estimated hazard ratios (HRs), restricted cubic splines (RCS) assessed non-linear associations, and subgroup analyses were stratified by body mass index (BMI). Sensitivity analyses examined TyG index and MG alone. RESULTS: An elevated TyG index was associated with increased risk of thymoma-associated MG. Compared to Q1, Q4 had higher risk (HR = 1.66, 95% CI: 1.20-2.31, P = 0.003); the overall HR per unit increase was 1.42 (95% CI: 1.17-1.73, P = 0.0005). TG/HDL-C ratio showed similar patterns: Q4 vs Q1 HR = 1.54 (95% CI: 1.11-2.15, P = 0.01); overall HR per unit increase was 1.06 (95% CI: 1.02-1.10, P = 0.002). Non-linear relationships were observed, with suggested inflection points at TyG index 8.7 and TG/HDL-C ratio 2.8, rather than strict thresholds. Subgroup analyses revealed stronger associations in normal-weight and obese participants, although tests for interaction were not statistically significant. Sensitivity analyses confirmed consistent associations between TyG index and MG risk, including for isolated MG. CONCLUSION: Elevated TyG index and TG/HDL-C ratio were independently associated with higher thymoma-associated MG risk in this large prospective cohort, with evidence of non-linear relationships and BMI-related heterogeneity. These findings provide novel epidemiologic evidence linking metabolic markers of insulin resistance with thymoma-associated MG, but clinical translation requires further validation.

Humans↗

Multi-ancestry genome-wide meta-analysis of 56,241 individuals identifies known and novel cross-population and ancestry-specific associations as novel risk loci for Alzheimer's disease.

BACKGROUND: Limited ancestral diversity has impaired our ability to detect risk variants more prevalent in ancestry groups of predominantly non-European ancestral background in genome-wide association studies (GWAS). We construct and analyze a multi-ancestry GWAS dataset in the Alzheimer's Disease Genetics Consortium (ADGC) to test for novel shared and population-specific late-onset Alzheimer's disease (LOAD) susceptibility loci and evaluate underlying genetic architecture in 37,382 non-Hispanic White (NHW), 6728 African American, 8899 Hispanic (HIS), and 3232 East Asian individuals, performing within ancestry fixed-effects meta-analysis followed by a cross-ancestry random-effects meta-analysis. RESULTS: We identify 13 loci with cross-population associations including known loci at/near CR1, BIN1, TREM2, CD2AP, PTK2B, CLU, SHARPIN, MS4A6A, PICALM, ABCA7, APOE, and two novel loci not previously reported at 11p12 (LRRC4C) and 12q24.13 (LHX5-AS1). We additionally identify three population-specific loci with genome-wide significance at/near PTPRK and GRB14 in HIS and KIAA0825 in NHW. Pathway analysis implicates multiple amyloid regulation pathways and the classical complement pathway. Genes at/near our novel loci have known roles in neuronal development (LRRC4C, LHX5-AS1, and PTPRK) and insulin receptor activity regulation (GRB14). CONCLUSIONS: Using cross-population GWAS meta-analyses, we identify novel LOAD susceptibility loci in/near LRRC4C and LHX5-AS1, both with known roles in neuronal development, as well as several novel population-unique loci. Reflecting the power of diverse ancestry in GWAS, we detect the SHARPIN locus with only 13.7% of the sample size of the NHW GWAS study (n = 409,589) in which this locus was first observed. Continued expansion into larger multi-ancestry studies will provide even more power for further elucidating the genomics of late-onset Alzheimer's disease.

Humans↗

Biobank-wide association scan identifies risk factors for late-onset Alzheimer's disease and endophenotypes.

Rich data from large biobanks, coupled with increasingly accessible association statistics from genome-wide association studies (GWAS), provide great opportunities to dissect the complex relationships among human traits and diseases. We introduce BADGERS, a powerful method to perform polygenic score-based biobank-wide association scans. Compared to traditional approaches, BADGERS uses GWAS summary statistics as input and does not require multiple traits to be measured in the same cohort. We applied BADGERS to two independent datasets for late-onset Alzheimer's disease (AD; n=61,212). Among 1738 traits in the UK biobank, we identified 48 significant associations for AD. Family history, high cholesterol, and numerous traits related to intelligence and education showed strong and independent associations with AD. Furthermore, we identified 41 significant associations for a variety of AD endophenotypes. While family history and high cholesterol were strongly associated with AD subgroups and pathologies, only intelligence and education-related traits predicted pre-clinical cognitive phenotypes. These results provide novel insights into the distinct biological processes underlying various risk factors for AD.

Alzheimer Disease↗

Structural basis for the photochemistry of alpha-phycoerythrocyanin.

Phycobiliproteins and phytochromes are light-harvesting and light-sensing proteins containing linear tetrapyrroles, so-called bile chromophores. The chromophores in certain biliproteins, including the phytochromes, isomerize reversibly from a stable Z-configuration to a stable E-configuration when irradiated with light of the appropriate wavelength. Here, we report the crystal structure of alpha-phycoerythrocyanin with its chromophore in the E-configuration, compare it with the Z-configuration found in trimeric phycoerythrocyanin, and reveal the structural bases of the isomerization. The geometric changes of the chromophore account for the large spectral shift, which characterizes the overall transition. Interactions of the chromophore A and D pyrrole rings with flexible protein moieties are required for the formation and stabilization of the isomers. We predict that the results will hold for all photoactive biliproteins.

Crystallography, X-Ray↗

Comparison between early and delayed systemic treatment with candesartan of rats after ischaemic stroke.

OBJECTIVE: The effects of candesartan treatment starting early (3 h) and delayed (24 h) after middle cerebral artery occlusion (MCAO) with reperfusion was investigated in normotensive rats. METHODS: Subcutaneous treatment with candesartan (0.3 and 3 mg/kg) or vehicle was initiated 3 or 24 h after the onset of MCAO and continued for seven consecutive days (n=20 per group and timepoint). Neurological outcome was evaluated daily using two different scoring systems. Infarct and oedema volumes were determined in rats 2 or 7 days after MCAO. Mean arterial, systolic and diastolic blood pressures were recorded before and after the application of candesartan. RESULTS: Mean arterial, systolic and diastolic blood pressures were markedly decreased with the high dose, but only moderately decreased with the low dose of candesartan. Vehicle-treated rats showed marked neurological deficits 24 h after MCAO, which gradually improved with time. Candesartan improved neurological outcomes at all timepoints only when treatment was started 3, but not 24 h after MCAO. The infarct volume was reduced on days 2 and 7 after MCAO in rats treated with the low but not the high dose of candesartan. CONCLUSION: The present study demonstrates that only an early but not a delayed onset of treatment with candesartan exerts neuroprotection after focal ischaemia. The degree of neurological impairments did not correlate with the infarct volume, which was reduced only after the low dose of candesartan. The high dose of candesartan failed to reduce the infarct volume, probably because of an excessive blood pressure decrease.

Angiotensin II Type 1 Receptor Blockers↗

Marked suppression of tumor growth by FTY720 in a rat liver tumor model: the significance of down-regulation of cell survival Akt pathway.

We aim to investigate the anticancer effect of a novel immunomodulator FTY720 on a rat orthotopic liver tumor model. A buffalo rat orthotopic liver tumor model was established by injection of a buffalo hepatoma cell line MH7777 into the right portal vein. FTY720 was administered by intraperitoneal injection starting at 10 days after tumor cell injection at a dosage of 5 mg/kg/day. FTY720 markedly suppressed tumor growth and inhibited tumor progression by selective induction of apoptosis of tumor cells via down-regulation of phospho-Akt(ser473) and up-regulation of cleaved caspase-3, together with decrease of focal adhesion kinase. Moreover, the proliferation index of tumor cells was significantly reduced to 15.92+/-5.03% by FTY720 compared with that of 42.92+/-4.47% in the control group (p<0.001). In addition, we confirmed that FTY720 caused no effect on infiltrated lymphocyte in tumor tissue. We conclude that FTY720 is an effective anticancer agent for liver tumor in a rat model without affecting the immune system of the host.

Animals↗

The bright side of JNKs-Multitalented mediators in neuronal sprouting, brain development and nerve fiber regeneration.

The c-Jun N-terminal kinases (JNKs) are important regulators of physiological and pathological processes in the central and peripheral nervous system. In general, JNKs are considered as mediators of neuronal degeneration in response to stress and injury. However, recent data have provided substantial evidence that JNKs are also essential for physiological and regenerative signalling in neurons. This review summarizes the importance of JNKs for neurite formation and outgrowth, brain development, dendritic architecture and regeneration of nerve fibers after injury. We discuss putative mechanisms which control the bipartite actions of individual JNK isoforms for neuronal death and repair after nerve fiber injury with a particular focus on the role of the transcription factor c-Jun.

Animals↗

The expression of CD30 in anaplastic large cell lymphoma is regulated by nucleophosmin-anaplastic lymphoma kinase-mediated JunB level in a cell type-specific manner.

Chromosomal translocation t(2;5) and the resulting fusion protein nucleophosmin-anaplastic lymphoma kinase (NPM-ALK) are detected in 50% to 70% of anaplastic large cell lymphoma (ALCL), which is a T/null cell non-Hodgkin's lymphoma showing anaplastic morphology with cell surface expression of CD30. Because aberrant CD30 expression was also observed in the T-cell lymphoma derived from lineage-specific NPM-ALK transgenic mice, we tested the hypothesis that there might be a functional relationship between the two neoplastic-related proteins: NPM-ALK and CD30. In this study, we used the RNA interference method to modulate NPM-ALK protein expression in ALCL-derived, t(2;5)-positive Karpas 299 cells. We observed decreased CD30 expression when NPM-ALK was repressed. Further analysis suggested that JunB functioned as the mediator of NPM-ALK-derived CD30 transcriptional regulation. The NPM-ALK-repressed cells, which had low CD30 expression, were characterized with lower cell proliferation compared with cells in the control group, suggesting that altered CD30 expression may correlate to NPM-ALK-mediated tumor cell growth inhibition. Combination of NPM-ALK repression and CD30 ligand leads to significantly increased tumor cell growth inhibition compared with one method alone, suggesting its potential application for ALCL-specific cancer treatment.

Cell Growth Processes↗

[Diagnostic values of antibody to citrullinated human fibrinogen in rheumatoid arthritis].

OBJECTIVE: To study the prevalence of antibody to citrullinated human fibrinogen (ACF) in rheumatic diseases and the diagnostic values in rheumatoid arthritis. METHODS: Human fibrinogen was deiminated by the peptidylarginine deiminase (PAD) in the presence of Ca2+ in vitro. ACF was detected by ELISA in 352 patients with rheumatic diseases (183 RA, 121 SLE and 48 OA) and 108 healthy controls. The sensitivity and specificity in RA were calculated and the correlations between ACF and the clinical and laboratory parameters were analysed by SPSS statistical software. RESULTS: Compared with SLE (25.62%), OA (18.75%) and healthy control (2.78%) respectively, the patients with RA had a significantly higher level of ACF (67.21%, P<0.001). ACF had a sensitivity of 67.21% and a specificity of 84.84% for RA. In the investigated clinical and laboratory parameters of RA, the significant correlations were found between ACF and ESR (r=0.386, P<0.001), anti-CCP antibody (r=0.288, P<0.05) and AKA (r=0.288, P<0.05), respectively. Abnormalities in ESR, radiographic progression, IgM-RF, anti-CCP, AKA and APF were more often in ACF positive patients than in ACF negative patients. Moreover, ACF was positive in 38.00% of IgM-RF negative, 59.81% of AKA negative and 68.22% of APF negative patients, respectively. CONCLUSION: ACF is a sensitive and specific antibody in diagnosing RA. The ACF test is also very useful in diagnosing RA with other autoantibodies negative.

Adolescent↗

Semiclassical treatment of thermally activated electron transfer in the intermediate to strong electronic coupling regime under the fast dielectric relaxation.

The generalized nonadiabatic transition-state theory (NA-TST) (Zhao, Y.; et al. J. Chem. Phys. 2004, 121, 8854) is used to study electron transfer with use of the Zhu-Nakamura (ZN) formulas of nonadiabatic transition in the case of fast dielectric relaxation. The rate constant is expressed as a product of the well-known Marcus formula and a coefficient which represents the correction due to the strong electronic coupling. In the case of general multidimensional systems, the Monte Carlo approach is utilized to evaluate the rate by taking into account the multidimensionality of the crossing seam surface. Numerical demonstration is made by using a model system of a collection of harmonic oscillators in the Marcus normal region. The results are naturally coincident with the perturbation theory in the weak electronic coupling limit; while in the intermediate to strong electronic coupling regime where the perturbation theory breaks down the present results are in good agreement with those from the quantum mechanical flux-flux correlation function within the model of effective one-dimensional mode.

Journal Article↗

Electronic excitation of polyfluorenes: a theoretical study.

We present systematic, theoretical investigations on structure-property correlations in polyfluorenes (PFs) derived mainly from the chain morphology, oligomer length, and chemical substitutent. Both the vertical absorptions and the vibrational contributions to electronic absorption and fluorescence spectra have been calculated. The effect of temperature on the nature of photoexcitations of PFs has been demonstrated. It is found that the vibronic (electronic and vibrational) structures of PFs are morphology-dependent. beta-phase oligofluorenes (beta-(FL)(n)) and ladder-type poly(p-phenylene) (LPPP) oligomers show a red shift compared to the spectra of alpha-(FL)(n). The asymmetry of the absorption and fluorescence spectra in alpha-(FL)(n) and the fluorenone (FLO) defect oligofluorenes alpha-(FL)(n)(-)(m)(FLO)(m) is significantly more pronounced than that in planarized beta-(FL)(n) and LPPP oligomers. By properly taking into account the anharmonic torsion potentials resulting from the strong electronic and nuclear coupling in the oligofluorenes, we have reasonably reproduced the experimentally observed spectroscopic features. The low-energy on-chain chemical defect sites such as FLO units act as charge-trapping sites for singlet excitations, are the predominantly lighting-emitting species, and thus alter the blue light-emitting properties of PFs whereas the blue-light-emitting properties of PFs are hardly influenced by the hole-transporting molecules. The optical properties of PFs have been predicted by the finite-size calculations. Energy gaps of PFs are estimated by extrapolations from excitation energies of oligofluorenes up to 21 FL units.

Journal Article↗

Integrated analysis of multiple data sources reveals modular structure of biological networks.

It has been a challenging task to integrate high-throughput data into investigations of the systematic and dynamic organization of biological networks. Here, we presented a simple hierarchical clustering algorithm that goes a long way to achieve this aim. Our method effectively reveals the modular structure of the yeast protein-protein interaction network and distinguishes protein complexes from functional modules by integrating high-throughput protein-protein interaction data with the added subcellular localization and expression profile data. Furthermore, we take advantage of the detected modules to provide a reliably functional context for the uncharacterized components within modules. On the other hand, the integration of various protein-protein association information makes our method robust to false-positives, especially for derived protein complexes. More importantly, this simple method can be extended naturally to other types of data fusion and provides a framework for the study of more comprehensive properties of the biological network and other forms of complex networks.

Algorithms↗