Publications by authors named "Qiqige WuYun"

Multiple sequence alignment (MSA) has evolved into a fundamental tool in the biological sciences, playing a pivotal role in predicting molecular structures and functions. With broad applications in protein and nucleic acid modeling, MSAs continue to underpin advancements across a range of disciplines. MSAs are not only foundational for traditional sequence comparison techniques but also increasingly important in the context of artificial intelligence (AI)-driven advancements.

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Background: The global prevalence of non-alcoholic fatty liver disease (NAFLD) is approximately 30%, and the condition can progress to non-alcoholic steatohepatitis, cirrhosis, and hepatocellular carcinoma. Metabolic and bariatric surgery (MBS) has been shown to be effective in treating obesity and related disorders, including NAFLD.

Objective: In this study, comprehensive machine learning was used to identify biomarkers for precise treatment of NAFLD from the perspective of MBS.

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Background: Some research have indicated that Bariatric and metabolic surgery (BMS) can reduce the risk of cardiovascular disease (CVD) among individuals with obesity. However, there are few reports available that focuses on assessing effect of BMS on the risk of CVD in Chinese population using multiple models.

Objective: This research aims to assess the function of BMS on the risk of CVD in Chinese patients with obesity using multiple CVD risk models.

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Objective: This study aimed to examine the correlation between preoperative body mass index (BMI) and adequate percentage of total weight loss (TWL%) outcome and present evidence of tiered treatment for patients with obesity in different preoperative BMI.

Methods: We included patients with complete follow-up data who underwent metabolic and bariatric surgery (BMS). We termed optimal clinical response as TWL% >20% at one year following MBS.

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Article Synopsis
  • The study aimed to evaluate three noninvasive models for diagnosing metabolic dysfunction-associated steatohepatitis (MASH) among patients with metabolic dysfunction-associated steatotic liver disease (MASLD).
  • Among the models (MAST, FAST, and MEFIB), MAST and FAST showed comparable diagnostic accuracy, outperforming MEFIB significantly, particularly in identifying patients with "at-risk" MASH.
  • The results suggest using MAST and FAST as preferred noninvasive methods due to their better performance and lower cutoff values for diagnosing MASH and "at-risk" MASH.
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The ability to recognize a host plant is crucial for insects to meet their nutritional needs and locate suitable sites for laying eggs. is a highly destructive pest in fruit crops. Benzothiazole has been found to induce oviposition behavior in the gravid .

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Article Synopsis
  • - Bariatric surgery is commonly used to treat morbid obesity, but some patients may be classified as metabolically healthy obese (MHO), meaning they don't show typical metabolic issues despite being overweight.
  • - In a study of 665 bariatric surgery patients, about 12% were identified as MHO, with factors like being younger and female linked to higher chances of this phenotype.
  • - However, many individuals with MHO still had other metabolic problems, like fatty liver and abnormal lipid levels, indicating the need for comprehensive metabolic assessments even among those who appear metabolically healthy.
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The prediction of three-dimensional (3D) protein structure from amino acid sequences has stood as a significant challenge in computational and structural bioinformatics for decades. Recently, the widespread integration of artificial intelligence (AI) algorithms has substantially expedited advancements in protein structure prediction, yielding numerous significant milestones. In particular, the end-to-end deep learning method AlphaFold2 has facilitated the rise of structure prediction performance to new heights, regularly competitive with experimental structures in the 14th Critical Assessment of Protein Structure Prediction (CASP14).

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Leveraging iterative alignment search through genomic and metagenome sequence databases, we report the DeepMSA2 pipeline for uniform protein single- and multichain multiple-sequence alignment (MSA) construction. Large-scale benchmarks show that DeepMSA2 MSAs can remarkably increase the accuracy of protein tertiary and quaternary structure predictions compared with current state-of-the-art methods. An integrated pipeline with DeepMSA2 participated in the most recent CASP15 experiment and created complex structural models with considerably higher quality than the AlphaFold2-Multimer server (v.

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Developing behavioral modifying chemicals through molecular targets is a promising way to improve semiochemical-based technology for pest management. Identifying molecular targets that affect insect behavior largely relies on functional genetic techniques such as deletions, insertions, and substitutions. Selectable markers have thus been developed to increase the efficiency of screening for successful editing events.

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The key phenotype white eye (white) has been used for decades to selectively remove females before release in sterile insect technique programs and as an effective screening marker in genetic engineering. Bactrocera dorsalis is a representative tephritid pest causing damage to more than 150 fruit crops. Yet, the function of white in important biological processes remains unclear in B.

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Background: Various prediction models of type 2 diabetes (T2D) remission have been externally verified internationally. However, long-term validated results after Roux-en-Y gastric bypass (RYGB) surgery are lacking. The best model for the Chinese population is also unknown.

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Article Synopsis
  • The "UM-TBM" and "Zheng" groups in CASP15 used advanced algorithms D-I-TASSER and DMFold-Multimer for protein structure prediction, showing notable improvements in accuracy.
  • D-I-TASSER incorporated new features such as enhanced MSA generation, spatial restraints from attention networks, and a refined folding simulation system, leading to models 19% more accurate than AlphaFold2 for 47 free modeling targets.
  • DMFold-Multimer, which combined the new DeepMSA2 algorithm with AlphaFold2-Multimer, achieved higher average TM-scores and Interface Contact Scores for protein complexes, emphasizing the importance of MSA in these predictions and suggesting areas for future enhancement in viral protein modeling.
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Objective: This study aims to explore the relationship between age and whether the percentage of total weight loss (TWL%) is ≥ 25% or not at 1 year after bariatric surgery (BS). We aimed to provide evidence for the stratified treatment of spatients with obesity at different ages.

Methods: The primary outcome evaluated was whether TWL% was no less than 25% at 1 year after BS.

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Background: The effect of bariatric surgery on type 2 diabetes mellitus (T2DM) control can be assessed based on predictive models of T2DM remission. Various models have been externally verified internationally. However, long-term validated results after laparoscopic sleeve gastrectomy (LSG) surgery are lacking.

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Background: Laparoscopic sleeve gastrectomy (LSG) is considered as an effective bariatric and metabolic surgery for patients with severe obesity. Chronic low-grade inflammation of adipose tissue is associated with obesity and obesity-related complications.

Objective: This study intends to establish a nomogram based on inflammatory response-related methylation sites in intraoperative visceral adipose tissue (VAT) to predict excess weight loss (EWL)% at one-year after LSG.

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Background: Laparoscopic sleeve gastrectomy (LSG) is a crucial surgical procedure for patients with obesity. However, epigenetic research in LSG is still in its infancy from the perspective of adipogenesis.

Objectives: This work aims to develop a model to predict 1 year excess weight loss percentage (EWL)% following LSG in Chinese patients with obesity by examining the DNA methylation profiles of intraoperative visceral fat.

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Background: Many studies have reported that bariatric surgery may reduce postoperative cardiovascular risk in patient with obesity, but few have addressed this risk in the Chinese population.

Objective: To assess the impact of bariatric surgery on cardiovascular disease (CVD) risk in the Chinese population using the World Health Organization (WHO) risk model, the Global risk model, and the Framingham Risk Score.

Methods: We retrospectively analyzed data collected on patient with obesity who underwent bariatric surgery at our institution between March 2009 and January 2021.

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Laparoscopic Roux-en-Y gastric bypass (LRYGB) is classic bariatric procedure with long-term safety and efficacy. However, no studies have focused on predicting long-term weight loss after LRYGB in Chinese patients with body mass index (BMI) ≥ 32.5 kg/m2.

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The Oriental fruit fly, Bactrocera dorsalis, is a highly invasive and adaptive pest species that causes damage to citrus and over 150 other fruit crops worldwide. Since adult fruit flies have great flight capacity and females lay their eggs under the skins of fruit, insecticides requiring direct contact with the pest usually perform poorly in the field. With the development of molecular biological tools and high-throughput sequencing technology, many scientists are attempting to develop environmentally friendly pest management strategies.

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Background: Single-nucleotide polymorphisms (SNPs) associated with obesity predict laparoscopic Roux-en-Y gastric bypass (LRYGB) and biliopancreatic diversion with duodenal switch (BPD/DS) for weight loss with good efficiency. However, prediction of weight loss after laparoscopic sleeve gastrectomy using SNPs has not been well investigated.

Objectives: To predict weight loss after laparoscopic sleeve gastrectomy using obesity-related SNPs and clinical variants in Chinese patients with body mass index (BMI) ≥ 32.

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Purpose: To evaluate the predictive effect of the initial weight loss on the long-term weight loss in Chinese patients with a body mass index (BMI) ≥ 32.5 kg/m who underwent LSG.

Patients And Methods: The follow-up was completed via phone or WeChat for outpatients and at the hospital for inpatients.

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Colon cancer is among the most prevalent gastrointestinal tumor types. The long noncoding RNA (lncRNA) T cell leukemia homeobox 1 neighbor (TLX1NB) is up-regulated in colorectal cancer (CRC). However, the functional role of this lncRNA in colon cancer remains unknown.

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Deep learning techniques have significantly advanced the field of protein structure prediction. LOMETS3 (https://zhanglab.ccmb.

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