A5043530440- Machine Learning in Bioinformatics
- RNA and protein synthesis mechanisms
- Genomics and Phylogenetic Studies
- Cancer-related molecular mechanisms research
- RNA modifications and cancer
- vaccines and immunoinformatics approaches
- Computational Drug Discovery Methods
- Advanced Proteomics Techniques and Applications
- Glycosylation and Glycoproteins Research
- Artificial Intelligence in Healthcare
- Ferroptosis and cancer prognosis
- Nicotinic Acetylcholine Receptors Study
- Machine Learning in Healthcare
- Gut microbiota and health
- Chemical Synthesis and Analysis
- Bacteriophages and microbial interactions
- Mass Spectrometry Techniques and Applications
- Antimicrobial Peptides and Activities
- Bacterial Genetics and Biotechnology
- Health Promotion and Cardiovascular Prevention
- Geotechnical Engineering and Analysis
- Acute Myocardial Infarction Research
- Data Stream Mining Techniques
- Medicinal Plants and Bioactive Compounds
- Extracellular vesicles in disease
Southwest Medical University
2016-2024
Chengdu University of Traditional Chinese Medicine
2019-2023
Shanghai Changzheng Hospital
2023
Shanghai University
2022
China Three Gorges University
2021
Wenzhou University
2020
Institute of Rock and Soil Mechanics
2019
University of Chinese Academy of Sciences
2019
Weizmann Institute of Science
2011-2016
First Affiliated Hospital of Sichuan Medical University
2016
Diabetes mellitus is a chronic disease characterized by hyperglycemia. It may cause many complications. According to the growing morbidity in recent years, 2040, world's diabetic patients will reach 642 million, which means that one of ten adults future suffering from diabetes. There no doubt this alarming figure needs great attention. With rapid development machine learning, learning has been applied aspects medical health. In study, we used decision tree, random forest and neural network...
Transcription termination is an important regulatory step of gene expression. If there no terminator in gene, transcription could not stop, which will result abnormal Detecting such terminators can determine the operon structure bacterial organisms and improve genome annotation. Thus, accurate identification transcriptional essential extremely research regulations.In this study, we developed a new predictor called 'iTerm-PseKNC' based on support vector machine to identify terminators. The...
The initiation of replication is an extremely important process in DNA life cycle. Given uncharacterized sequence, can we identify where its origin (ORI) located? It no doubt a fundamental problem genome analysis. Particularly, with the rapid development sequencing technology that results huge amount sequence data, it highly desired to develop computational methods for rapidly and effectively identifying ORIs these genomes. Unfortunately, by means existing methods, such as alignment or kmer...
Hormone-binding protein (HBP) is a kind of soluble carrier and can selectively non-covalently interact with hormone. HBP plays an important role in life growth, but its function still unclear. Correct recognition HBPs the first step to further study their understand biological process. However, it difficult correctly recognize from more proteins through traditional biochemical experiments because high experimental cost long period. To overcome these disadvantages, we designed computational...
Promoters are DNA regulatory elements located directly upstream or at the 5' end of transcription initiation site (TSS), which in charge gene initiation. With completion a large number microorganism genomics, it is urgent to predict promoters accurately bacteria by using computational method. In this work, sequence-based predictor named "iPro70-PseZNC" was designed for identifying sigma70 prokaryote. predictor, samples sequences formulated novel pseudo nucleotide composition, called PseZNC,...
Immunoglobulins, also called antibodies, are a group of cell surface proteins which produced by the immune system in response to presence foreign substance (called antigen).
The soluble carrier hormone binding protein (HBP) plays an important role in the growth of human and other animals. HBP can also selectively non-covalently interact with hormone. Therefore, accurate identification is prerequisite for understanding its biological functions molecular mechanisms. Since experimental methods are still labor intensive cost ineffective to identify HBP, it's necessary develop computational accurately efficiently HBP. In this paper, a machine learning-based method...
Tuberculosis is killing millions of lives every year and on the blacklist most appalling public health problems. Recent findings suggest that secretory protein Mycobacterium tuberculosis may serve purpose developing specific vaccines drugs due to their antigenicity. Responding global infectious disease, we focused identification proteins in . A novel method called MycoSec was designed by incorporating<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"...
Owing to the abuse of antibiotics, drug resistance pathogenic bacteria becomes more and serious. Therefore, it is interesting develop a reasonable way solve this issue. Because they can destroy bacterial cell structure then kill infectious bacterium, wall lyases are suitable candidates antibacteria sources. Thus, urgent an accurate efficient computational method predict lyases. Based on consideration, in paper, set objective rigorous data was collected by searching through Universal Protein...
In prokaryotes, the σ54 promoters are unique regulatory elements and have attracted much attention because they in charge of transcription carbon nitrogen-related genes participate numerous ancillary processes environmental responses. All findings on favorable for a better understanding their mechanisms gene an accurate discovery missed by wet experimental evidences. order to provide up-to-date, interactive extensible database promoter, free easy accessed called Pro54DB (σ54 promoter...
Lectins are a diverse type of glycoproteins or carbohydrate-binding proteins that have wide distribution to various species. They can specially identify and exclusively bind certain kind saccharide groups. Cancerlectins group lectins closely related cancer play major role in the initiation, survival, growth, metastasis spread tumor. Several computational methods emerged discriminate cancerlectins from non-cancerlectins, which promote study on pathogenic mechanisms clinical treatment cancer....
Understanding the green consumption behaviors of college students is highly demanded to update public and educational policies universities. For this purpose, research devoted advance an efficient model for identifying prominent features predicting students. The proposed prediction based on K-Nearest Neighbor (KNN) with effective swarm intelligence method, which called OBLFA_GWO. optimization core takes advantage firefly algorithm (FA) opposition-based learning (OBL) mitigate immature...
Huang-Lian-Jie-Du decoction (HLJDD) has been used to treat pneumonia for thousands of years in China. However, our understanding its mechanisms on treating is still unclear. In the present work, network pharmacology was analyze potential active ingredients and molecular HLJDD pneumonia. A total 102 were identified from HLJDD, among which 54 hit by 69 targets associated with By performing Gene Ontology (GO) Kyoto Encyclopedia Genes Genomes (KEGG) enrichment analysis, we obtained main pathways...
Large-scale screening for the risk of coronary heart disease (CHD) is crucial its prevention and management. Physical examination data has advantages wide coverage, large capacity, easy collection. Therefore, here we report a gender-specific cascading system assessment CHD based on physical data. The dataset consists 39,538 patients 640,465 healthy individuals from Luzhou Health Commission in Sichuan, China. Fifty characteristics were considered, after feature screening, ten factors...
In biological organisms, metal ion-binding proteins participate in numerous metabolic activities and are closely associated with various diseases. To accurately predict whether a protein binds to ions the type of protein, this study proposed classifier named MIBPred. The incorporated advanced Word2Vec technology from field natural language processing extract semantic features sequence combined them position-specific score matrix (PSSM) features. Furthermore, an ensemble learning model was...
Ion channels (IC) are ion-permeable protein pores located in the lipid membranes of all cells. Different ion have unique functions different biological processes. Due to rapid development high-throughput mass spectrometry, proteomic data rapidly accumulating and provide us an opportunity systematically investigate predict their types. In this paper, we constructed a support vector machine (SVM)-based model quickly By considering residue sequence information physicochemical properties, novel...
Improving thermostability of an enzyme can accelerate the relevant chemical reaction. Thus, analysis and prediction thermophilic proteins are conducive to protein engineering design. In this study, a novel method based on two-step discrimination was proposed distinguish between non-thermophilic proteins. The model rigorously benchmarked objective dataset including 915 793 Results showed that overall accuracy our is 94.44% in 5-fold cross-validation, which higher than those other published...
Abstract Gut microbes is a crucial factor in the pathogenesis of type 1 diabetes (T1D). However, it still unclear which gut microbiota are key factors affecting T1D and their influence on development progression disease. To fill these knowledge gaps, we constructed model to find biomarker from patients with T1D. We first identified microbial markers using Linear discriminant analysis Effect Size (LEfSe) random forest (RF) methods. Furthermore, by constructing co-occurrence networks for T1D,...