Biology subjects

Huang, C.

Publications and source records attributed to Huang, C..

At least 199 records · Page 11Linked to original sources

bioRxiv2021

Structural characterization of cocktail-like targeting polysaccharides from Ecklonia kurome Okam and their anti-SARS-CoV-2 activities in vitro

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the etiological agent responsible for the worldwide coronavirus disease 2019 (COVID-19) outbreak. Investigation has confirmed that polysaccharide heparan sulfate can bind to the spike protein and block SARS-CoV-2 infection. Theoretically, similar structure of nature polysaccharides may also have the impact on the virus. Indeed, some marine polysaccharide has been reported to inhibit SARS-Cov-2 infection in vitro, however the convinced targets and mechanism are still vague. By high throughput screening to target 3CLpro enzyme, a key enzyme that plays a pivotal role in the viral replication and transcription using nature polysaccharides library, we discover the mixture polysaccharide 375 from seaweed Ecklonia kurome Okam completely block 3Clpro enzymatic activity (IC50, 0.48 {micro}M). Further, the homogeneous polysaccharide 37502 from the 375 may bind to 3CLpro molecule well (kD value : 4.23 x 10-6). Very interestingly, 37502 also can potently disturb spike protein binding to ACE2 receptor (EC50, 2.01 {micro}M). Importantly, polysaccharide 375 shows good anti-SARS-CoV-2 infection activity in cell culture with EC50 values of 27 nM (99.9% inhibiting rate at the concentration of 20 {micro}g/mL), low toxicity (LD50: 136 mg/Kg on mice). By DEAE ion-exchange chromatography, 37501, 37502 and 37503 polysaccharides are purified from native 375. Bioactivity test show that 37501 and 37503 may impede SARS-Cov-2 infection and virus replication, however their individual impact on the virus is significantly less that of 375. Surprisingly, polysaccharide 37502 has no inhibition effect on SARS-Cov-2. The structure study based on monosaccharide composition, methylation, NMR spectrum analysis suggest that 375 contains guluronic acid, mannuronic acid, mannose, rhamnose, glucouronic acid, galacturonic acid, glucose, galactose, xylose and fucose with ratio of 1.86 : 9.56 : 6.81 : 1.69 : 1.00 : 1.75 : 1.19 : 11.06 : 4.31 : 23.06. However, polysaccharide 37502 is an aginate which composed of mannuronic acid (89.3 %) and guluronic acid (10.7 %), with the molecular weight (Mw) of 27.9 kDa. These results imply that mixture polysaccharides 375 works better than the individual polysaccharide on SARS-Cov-2 may be the cocktail-like polysaccharide synergistic function through targeting multiple key molecules implicated in the virus infection and replication. The results also suggest that 375 may be a potential drug candidate against SARS-CoV-2.

biochemistry↗

bioRxiv2021

Periplasm homeostatic regulation maintains spatial constraints essential for cell envelope processes and cell viability

The cell envelope of Gram-negative bacteria consists of two membranes surrounding a periplasm and peptidoglycan layer. Molecular machines spanning the cell envelope depend on spatial constraints and load-bearing forces across the cell envelope and surface. The mechanisms dictating spatial constraints across the cell envelope remain incompletely defined. In Escherichia coli, the coiled-coil lipoprotein Lpp contributes the only covalent linkage between the outer membrane and the underlying peptidoglycan layer. Using proteomics, molecular dynamics and a synthetic lethal screen we show that lengthening Lpp to the upper limit does not change the spatial constraint, but rather impacts the load-bearing capacity across the outer membrane. Our findings demonstrate E. coli expressing elongated Lpp homeostatically counteracts periplasmic enlargement with a combination of tilting Lpp and reducing Lpp abundance. By genetic screening we identified all of the genes in E. coli that become essential in order to enact this homeostasis, and by quantitative proteomics discovered that very few proteins need to be up- or down-regulated in steady-state levels in order to enact this homeostasis. We observed increased levels of factors determining cell stiffness, decrease membrane integrity, increase membrane vesiculation and a dependance on otherwise non-essential tethers to maintain lipid transport and peptidoglycan biosynthesis. Further this has implications for understanding how spatial constraint across the envelope controls processes such as flagellum-driven motility, cellular signaling and protein translocation

cell biology↗

bioRxiv2020

In vivo visualization of pig vagus nerve 'vagotopy' using ultrasound

BackgroundPlacement of the clinical vagus nerve stimulating cuff is a standard surgical procedure based on anatomical landmarks, with limited patient specificity in terms of fascicular organization or vagal anatomy. As such, the therapeutic effects are generally limited by unwanted side effects of neck muscle contractions, demonstrated by previous studies to result from stimulation of 1) motor fibers near the cuff in the superior laryngeal and 2) motor fibers within the cuff projecting to the recurrent laryngeal. ObjectiveThe use of patient-specific visualization of vagus nerve fascicular organization could better inform clinical cuff placement and improve clinical outcomes. MethodsThe viability of ultrasound, with the transducer in the surgical pocket, to visualize vagus nerve fascicular organization (i.e. vagotopy) was characterized in a pig model. Ultrasound images were matched to post-mortem histology to confirm the utility of ultrasound in identifying fascicular organization. ResultsHigh-resolution ultrasound accurately depicted the vagotopy of the pig vagus nerve intra-operatively, as confirmed via histology. The stereotypical pseudo-unipolar cell body aggregation at the nodose ganglion was identifiable, and these sensory afferent fascicular bundles were traced down the length of the vagus nerve. Additionally, the superior and recurrent laryngeal nerves were identified via ultrasound. ConclusionsIntraoperative visualization of vagotopy and surrounding nerves using ultrasound is a novel approach to optimize stimulating cuff placement, avoid unwanted activation of motor nerve fibers implicated in off-target effects, and seed patient-specific models of vagal fiber activation to improve patient outcomes.

neuroscience↗

bioRxiv2020

Information transfer and recovery for the sense of touch

Transformation of postsynaptic potentials (PSPs) into action potentials (APs) is the rate-limiting step of communication in neural networks. The efficiency of this intracellular information transfer also powerfully shapes stimulus representations in sensory cortices. Using whole-cell recordings and information-theoretic measures, we show herein that somatic PSPs accurately represent stimulus location on a trial-by-trial basis in single neurons even 4 synapses away from the sensory periphery in the whisker system. This information is largely lost during AP generation but can be rapidly (<20 ms) recovered using complementary information in local populations in a cell-type-specific manner. These results show that as sensory information is transferred from one neural locus to another, the circuits reconstruct the stimulus with high fidelity so that sensory representations of single neurons faithfully represent the stimulus in the periphery, but only in their PSPs, resulting in lossless information processing for the sense of touch in the primary somatosensory cortex.

neuroscience↗

bioRxiv2020

FGF2 disruption enhances thermogenesis in brown and beige fat to protect against obesity and hepatic steatosis

Since brown and beige fat expend energy in the form of heat via non-shivering thermogenesis, identifying key regulators of thermogenic functions represents a major goal for development of potential therapeutic avenues for obesity and associated disorders. Here, we identified fibroblast growth factor 2 (FGF2) as a novel thermogenic regulator. FGF2 gene disruption resulted in increased thermogenic capability in both brown and beige fat, which was supported by increased UCP1 expression, enhanced respiratory exchange ratio, and elevated thermogenic potential under cold challenge or {beta}-adrenergic stimulation. Thus, deletion of FGF2 protected mice from high fat-induced obesity and hepatic steatosis. Mechanistically, FGF2 acts in autocrine/paracrine fashions in vitro. Exogenous FGF2 supplementation inhibits both PGC-1 and PPAR{gamma} expression through ERK phosphorylation, thereby limiting PGC-1/PPAR{gamma} interactions, and leading to suppression of UCP1 expression and thermogenic activity in brown and beige adipocytes. These findings suggest a viable potential strategy for use of FGF2-selective inhibitors in treatment of combating obesity and related disorders.

cell biology↗

bioRxiv2020

Novel Cluster AZ Arthrobacter phages Powerpuff, Lego, and YesChef exhibit close functional relationships with Microbacterium phages

Bacteriophages exhibit a vast spectrum of relatedness and there is increasing evidence of close genomic relationships independent of host genus. The variability in phage similarity at the nucleotide, amino acid, and gene content levels confounds attempts at quantifying phage relatedness, especially as more novel phages are isolated. This study describes three highly similar novel Arthrobacter globiformis phages-Powerpuff, Lego, and YesChef-which were assigned to Cluster AZ using a nucleotide-based clustering parameter. Phages in Cluster AZ and Microbacterium Cluster EH, as well as the former Microbacterium singleton Zeta1847, exhibited low nucleotide similarity but gene content similarity in excess of the recently adopted Microbacterium clustering parameter, which resulted in the reassignment of Zeta1847 to Cluster EH. Additionally, Clusters AZ and EH phages encode a shared integrase indicative of a lysogenic life cycle; in the first experimental verification of a Cluster AZ phages life cycle, we show that phage Powerpuff is a true temperate phage and forms stable lysogens that exhibit immunity to superinfection by related phages, despite lacking identifiable repressors typically required for lysogenic maintenance and superinfection immunity. The ability of phage Powerpuff to undergo and maintain lysogeny suggests that other closely related phages encoding an integrase but lacking an identified repressor may be temperate as well. Our findings further highlight the importance of using multiple metrics to capture phage relatedness, provide additional evidence of significant shared phage genomic content spanning multiple actinobacterial host genera, and demonstrate the continued need for verification and characterization of life cycles in newly isolated phages.

microbiology↗

bioRxiv2020

Cortical representation of touch in silico

With its six layers and ~12000 neurons, a cortical column is a complex network whose function is plausibly greater than the sum of its constituents. Functional characterization of its network components will require going beyond the brute-force modulation of the neural activity of a small group of neurons. Here we introduce an open-source, biologically inspired, computationally efficient network model of the somatosensory cortexs granular and supragranular layers after reconstructing the barrel cortex in soma resolution. Comparisons of the network activity to empirical observations showed that the in silico network replicates the known properties of touch representations and whisker deprivation-induced changes in synaptic strength induced in vivo. Simulations show that the history of the membrane potential acts as a spatial filter that determines the presynaptic population of neurons contributing to a post-synaptic action potential; this spatial filtering might be critical for synaptic integration of top-down and bottom-up information.

neuroscience↗

bioRxiv2020

A general decoding strategy explains the relationship between behavior and correlated variability

Improvements in perception are frequently accompanied by decreases in correlated variability in sensory cortex. This relationship is puzzling because overall changes in correlated variability should minimally affect optimal information coding. We hypothesize that this relationship arises because instead of using optimal strategies for decoding the specific stimuli at hand, observers prioritize generality: a single set of neuronal weights to decode any stimuli. We tested this using a combination of multineuron recordings in the visual cortex of behaving rhesus monkeys and a cortical circuit model. We found that general decoders optimized for broad rather than narrow sets of visual stimuli better matched the animals decoding strategy, and that their performance was more related to the magnitude of correlated variability. In conclusion, the inverse relationship between perceptual performance and correlated variability can be explained by observers using a general decoding strategy, capable of decoding neuronal responses to the variety of stimuli encountered in natural vision. IMPACT STATEMENTThe frequently observed relationship between perceptual performance and correlated variability in sensory cortex can be explained by observers using a decoding strategy that prioritizes generality for many stimuli over precision.

neuroscience↗

bioRxiv2020

Converting Escherichia coli MG1655 into a chemical overproducer through inactivating defense system against exogenous DNA

Escherichia coli strain K-12 MG1655 has been proposed as an appropriate host strain for industrial production. However, the direct application of this strain suffers from the transformation inefficiency and plasmid instability. Herein, we conducted genetic modifications at a serial of loci of MG1655 genome, generating a robust and universal host strain JW128 with higher transformation efficiency and plasmid stability that can be used to efficiently produce desired chemicals after introducing the corresponding synthetic pathways. Using JW128 as the host, the titer of isobutanol reached 5.76 g/L in shake-flask fermentation, and the titer of lycopene reached 1.91 g/L in test-tube fermentation, 40-fold and 5-fold higher than that of original MG1655, respectively. These results demonstrated JW128 is a promising chassis for high-level production of value-added chemicals.

genetics↗

bioRxiv2020

Tumor-stromal IL1β/ NFκB / ESE3 Signal Axis Drives Pancreatic Cancer Fibrosis, Chemoresistance, Prognosis

Pancreatic stellate cells (PSCs) play a pivotal role in pancreatic fibrosis and pancreatic ductal adenocarcinoma (PDAC) progression. The mechanisms controlling PSC activation is not completely understood. Here we investigated the role of ESE3 (Epithelium-Specific ETS factor 3) in PSC activation. We discovered that in PDAC patients ESE3 expression was increased in PSC while decreased in tumor cells. ESE3 overexpression in PSC promoted PSC activation. Condition medium from ESE3-overexprssing PSC promotes PDAC cell migration, chemoresistance, tumor growth and fibrosis. ESE3 directly induced the transcription of -SMA, Collagen 1 and IL-1{beta} by binding to ESE3 binding sites on their promoters to activate PSC. On the other hand, IL-1{beta} upregulates ESE3 in PSC through NF{kappa}B activation and ESE3 is required for PSC activation by tumor cell derived IL-1{beta}. Clinical data showed ESE3 upregulation in PSC was positively correlated with tumor size, pTNM stage, CA19-9, CEA and CA242 level in serum. ESE3 overexpression in PSC was an independent negative prognostic factor for disease-free survival and overall survival among PDAC patients. Inhibition of the IL-1{beta}/ ESE3 (PSC)/ IL-1{beta} positive feedback loop represents a promising therapeutic strategy to reduce tumor fibrosis and increase chemotherapeutic efficacy in PDAC.

cancer biology↗

bioRxiv2020

Multi-Task Learning based 3-Dimensional Striatal Segmentation of MRI - a Multi-modal Objective Assessment

The human striatum is a collection of subcortical nuclei that serves as a critical node in an information processing network. Recent studies have established a clear topographical and functional organization of projections to and from striatal regions that involves detailed and complex subdivisions of the striatum. Manual segmentation of these functional subdivisions is labor-intensive and time-consuming, yet automated methods have also been a challenging computational problem. Recently, deep learning has emerged as a powerful tool for various tasks, including semantic segmentation. Multi-Task Learning (MTL) is a machine learning technique that allows latent representations between related tasks to be shared during model prediction of multiple tasks with better accuracy. We utilized MTL to segment subregions of the striatum consisting of pre-commissural putamen (prePU), pre-commissural caudate (preCA), post-commissural putamen (postPU), post-commissural caudate (postCA), and ventral striatum (VST). Dice similarity coefficients (DSC) demonstrate excellent spatial agreement between manual and MTL-generated segmentations ([≥] 0.72 across all striatal subregions). Further quantitative task-based analysis was also conducted. Binding potential values, BPND, of [11C]raclopride PET, and ROI time-series and whole-brain connectivity using fMRI images were compared between results generated from manual segmentations and MTL-generated segmentations. BPND values from MTL-generated segmentations were shown to correlate well with manual segmentations with R2 [≥] 0.91 in all caudate and putamen subregions, and R2=0.69 in VST. Mean Pearson correlation coefficients of the fMRI data between MTL-generated and manual segmentations were also high in time-series ([≥]0.86) and whole-brain connectivity ([≥]0.89) across all subregions. We conclude that the MTL approach is a fast, robust and reliable method for 3D striatal subregion segmentation with results comparable to manually segmented ROIs.

bioengineering↗

bioRxiv2020

A simple and efficient metric quantifying druggable property of chemical small molecules

One big class of drugs are chemical small molecules (CSMs), but the majority of CSMs are in very low druggable potential. Therefore, it is quite important to predict drug-related properties (druggable properties) for candidate CSMs. Currently, although a number of druggable properties (e.g. logP and pKa) can be calculated by in silico methods, the identification of druggable CSMs is still at high risk and new quantitative metrics for the druggable potential of CSMs are increasingly needed. Here, we presented normalized bond energy (NBE), a new metric for the above purpose. By applying NBE to the DrugBank CSMs whose properties are largely known, we revealed that NBE is able to describe a number of critical druggable properties including logP, pKa, membrane permeability, blood-brain barrier penetration, and human intestinal absorption. Moreover, given that the human endogenous metabolites could be served as an important resource for drug discovery, we applied NBE to the metabolites in the Human Metabolome Database. As a result, NBE shows a significant difference in metabolites from various body fluids and is correlated with some important properties including melting point and water solubility.

bioinformatics↗

bioRxiv2020

Visualizing dendritic characteristics of corticotropin-releasing hormone neurons at single-cell resolution in the whole mouse brain

Corticotropin-releasing hormone (CRH) is an important neuromodulator with wide distribution in the brain. Here, we screened the CRH-IRES-Cre;Ai32 mouse line to reveal the morphologies of individual CRH neurons throughout the mouse brain by using fluorescence micro-optical sectioning tomography (fMOST) system. Diverse dendritic morphologies and projection fibers were found in various brain regions. Reconstructions showed hypothalamic CRH neurons had the smallest somatic volumes and simplest dendritic branches, and CRH neurons in several regions shared a bipolar morphology. Further investigations in the medial prefrontal cortex unveiled somatic depth-dependent morphologies that exhibited three types of connections and CRH neurons in the anterior parvicellular area of hypothalamus had fewer and smaller Herring bodies whereas in the periventricular area had more and larger Herring bodies that were present within fibers projecting to the third ventricle. Our findings provide the most comprehensive intact morphologies of CRH neurons throughout the mouse brain that is currently available.

neuroscience↗

bioRxiv2020

Mechanistic insights into ventricular arrhythmogenesis of hydroxychloroquine and azithromycin for the treatment of COVID-19

Background: Recent reports on the use of hydroxychloroquine (HCQ) alone, or combined with azithromycin (AZM) in the management of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) have raised cardiac safety concerns. Currently, there is limited mechanistic data evaluating cardiac safety with HCQ and AZM therapy. Methods: Using comprehensive In Vitro ProArrhythmia Assay (CiPA) Schema IC50 paradigms, we examined the cardiac electrophysiological effects of HCQ and HCQ/AZM. Molecular modelling explored HCQ and AZM binding properties to hERG. Langendorff-perfused guinea-pig hearts were electrically and optically mapped by multi-electrode array and voltage (RH237) and Ca2+ (Rhod-2 AM) dyes. Human action potential and ion current reconstructions were performed in silico. Results: HCQ blocked IKr and IK1 with IC50 concentrations (10+-0.6 and 34+-5.0 microM) within the therapeutic range observed clinically. HCQ also blocked INa and ICaL but at higher IC50, whilst Ito and IKs were unaffected. Contrastingly, AZM produced minor inhibition of INa, ICaL, IKs, and IKr,, with no effect on IK1 and Ito. HCQ + AZM combined inhibited IKr and IK1 with IC50s of 7.7 +- 0.8 microM and 30.4 +- 3.0 microM, but spared INa, ICaL and Ito,. Molecular modelling confirmed potential HCQ binding to hERG. Cardiac mapping and ECG studies in isolated hearts demonstrated that HCQ slowed heart rate and ventricular conduction with associated prolongation of PR, QRS and QT intervals. Optical mapping demonstrated, and prolonged, more heterogeneous, action potential durations and intracellular Ca2+ transients. These effects were accentuated with combined HCQ+AZM treatment, which elicited electrical alternans, re-entrant circuits and wave breaks. Reconstruction in a human in-silico model demonstrated that this is attributable to the integrated action of HCQ and AZM reducing IKr, IKs and IK1. Conclusions: These data provide an electrophysiological basis for recent FDA guidelines cautioning against combined HCQ/AZM administration for the treatment of Covid-19 on the grounds of potential cardiac safety. We would strongly recommend monitoring of electrocardiographic QT interval with the use of this combination of medications.Competing Interest StatementThe authors have declared no competing interest.

pharmacology and toxicology↗

bioRxiv2020

Comparison of the Accula SARS-CoV-2 Test with a Laboratory-Developed Assay for Detection of SARS-CoV-2 RNA in Clinical Nasopharyngeal Specimens

BackgroundSeveral point-of-care (POC) molecular tests have received emergency use authorization (EUA) from the Food and Drug Administration (FDA) for diagnosis of SARS-CoV-2. The test performance characteristics of the Accula (Mesa Biotech) SARS-CoV-2 POC test need to be evaluated to inform its optimal use. ObjectivesThe aim of this study was to assess test performance of the Accula SARS-CoV-2 test. Study designThe performance of the Accula test was assessed by comparing results of 100 nasopharyngeal swab samples previously characterized by the Stanford Health Care EUA laboratory-developed test (SHC-LDT) targeting the envelope (E) gene. Assay concordance was assessed by overall percent agreement, positive percent agreement (PPA), negative percent agreement (NPA), and Cohens kappa coefficient. ResultsOverall percent agreement between the assays was 84.0% (95% confidence interval [CI] 75.3 to 90.6%), PPA was 68.0% (95% CI 53.3 to 80.5%) and the kappa coefficient was 0.68 (95% CI 0.54 to 0.82). Sixteen specimens detected by the SHC-LDT were not detected by the Accula test, and showed low viral load burden with a median cycle threshold value of 37.7. NPA was 100% (95% CI 94.2 to 100%). ConclusionCompared to the SHC-LDT, the Accula SARS-CoV-2 test showed excellent negative agreement. However, positive agreement was low for samples with low viral load. The false negative rate of the Accula POC test calls for a more thorough evaluation of POC test performance characteristics in clinical settings, and for confirmatory testing in individuals with moderate to high pre-test probability of SARS-CoV-2 who test negative on Accula.

microbiology↗

bioRxiv2020

Discovery of potential epigenetic inhibitors against histone methyltransferases through molecular docking and molecular dynamics simulations

Histone methyltransferases (HMTases) catalyze histone methylations that are the important epigenetic marks regulating gene expression, cell fate, and disease progression. In this study, we investigated potential epigenetic inhibitors against HMTases through in silico approaches, including ensembled molecular docking and molecular dynamics simulations (MDS).We identified three candidate compounds, including echinomycin, emetine, and streptonigrin, which showed interactions with HMTases. Echinomycin showed similar binding affinity with H3K4-HMTase NSD3 and H3K9-HMTase SETDB1 but streptonigrin and emetine had preferential binding affinity with NSD3 and SETDB1, respectively. The binding of NSD3 to streptonigrin and echinomycin and binding of SETDB1 to emetine and echinomycin were further confirmed by the results of hydrogen bonding profile and MM/PBSA calculations. Together, our results uncover the binding affinities of echinomycin, emetine, and streptonigrin with histone methyltransferases, and suggest that these compounds are potential epigenetic inhibitors regulating cell activities.

molecular biology↗

bioRxiv2020

Structural analysis of the PTEN:P-Rex2 signalling node reveals how cancer-associated mutations coordinate to hyperactivate Rac1

The PTEN:P-Rex2 complex is one of the most commonly mutated signaling nodes in metastatic cancer. Assembly of the PTEN:P-Rex2 complex inhibits the activity of both proteins, and its dysregulation can drive PI3K-AKT signaling and cell proliferation. Here, using extensive crosslinking mass spectrometry and functional studies, we provide crucial mechanistic insights into PTEN:P-Rex2 complex assembly and co-inhibition. PTEN is anchored to P-Rex2 by interactions between the PTEN PDZ-BM tail and the second PDZ domain of P-Rex2. This interaction bridges PTEN across the P-Rex2 surface, occluding PTEN membrane-binding and PI(3,4,5)P3 hydrolysis. Conversely, PTEN both allosterically promotes an autoinhibited P-Rex2 conformation and occludes G{beta}{gamma} binding and GPCR activation. These insights allow us to define a new gain-of-function class of cancer mutations within the PTEN:P-Rex2 interface that uncouples PTEN inhibition of Rac1 signaling. These findings provide a mechanistic framework to understand the dysregulation of the PTEN:P-Rex2 signaling node in metastatic cancer.

biochemistry↗

bioRxiv2020

Structural dynamics of non-synonymous SNPs of histone methyltransferase EZH2 involved in Weaver Syndrome

Enhancer of zeste homolog 2 (EZH2) is a histone H3 lysine 27 methyltransferases. Non-synonymous SNPs (nsSNPs) in the ezh2 gene may cause Weaver Syndrome that is a prominent and rare congenital disorder. Several EZH2 genetic variants have been characterized and reported, but there is no information available on their structural dynamics. Our study employs an in silico approach for structural and functional characterization of EZH2 nsSNPs. We identified 19 EZH2 nsSNPs majorly associated with Weaver Syndrome, among which four SET-domain nsSNPs including V621M, A677T, R679C, and H689Y significantly affected EZH2 structure. We conducted the triplicate of 100 ns of molecular dynamics simulations (MDS) to compare the dynamic interaction behaviors between wild-type and mutants of EZH2 with their substrate, H3K27me0 peptide. The simulation results revealed that the mutants had higher levels of structural variations as evidenced by secondary structure, density, distance plots, and principal component analysis. Compared to EZH2-WT, the mutants A677T and H689Y have shown lower binding energy with H3K27me0 peptide due to the denaturing of 310 helixes as exemplified by MM/PBSA calculations and secondary structure analysis. Our analysis shed light on mechanisms of structural variations of EZH2 nsSNPs and lay a stone to develop mutant-based therapeutic strategies for the design of target-specific scaffolds against Weaver Syndrome.

molecular biology↗