- RNA and protein synthesis mechanisms
- Machine Learning in Bioinformatics
- Bioinformatics and Genomic Networks
- Genomics and Phylogenetic Studies
- RNA Research and Splicing
- RNA modifications and cancer
- Adsorption and biosorption for pollutant removal
- Escherichia coli research studies
- Algorithms and Data Compression
- Bacteriophages and microbial interactions
- Vibrio bacteria research studies
- Evolution and Genetic Dynamics
- Spectroscopy and Chemometric Analyses
- Mercury impact and mitigation studies
- Genetics, Bioinformatics, and Biomedical Research
- Advanced Chemical Sensor Technologies
- Carbon and Quantum Dots Applications
- Physiological and biochemical adaptations
- Cancer-related molecular mechanisms research
- Computational Drug Discovery Methods
- Microbial Metabolic Engineering and Bioproduction
- Identification and Quantification in Food
- Genetic Mapping and Diversity in Plants and Animals
- DNA and Biological Computing
- Cellular Automata and Applications
University of Electronic Science and Technology of China
2016-2025
Zhongnan Hospital of Wuhan University
2022
Wuhan University
2021-2022
Anhui Normal University
2022
Jiangsu University
2019
Previously constructed classifiers in predicting eukaryotic essential genes integrated a variety of features including experimental ones. If we can obtain satisfactory prediction using only nucleotide (sequence) information, it would be more promising. Three groups recently identified human cancer cell lines wet experiments and provided wonderful opportunity to accomplish our idea. Here improved the Z curve method into λ-interval form denote composition association information used construct...
Background: Genetic information about organisms' traits is stored and encoded in deoxyribonucleic acid (DNA) sequences. The fundamental inquiry into the storage mechanisms of this genetic within genomes has long been interest to geneticists biophysicists. Objective: objective study was investigate distribution coding sequence (CDS) lengths species across different kingdoms. Methods: In study, we used maximum entropy principle gamma model based on a comprehensive dataset including viruses,...
Hexavalent chromium (Cr(VI)) pollution is a global problem, and the reduction of highly toxic Cr(VI) to less Cr(III) considered be an effective method address pollution. In this study, low-toxicity carbon quantum dots (CQDs) were used reduce in wastewater. The results show that CQDs can directly at pH 2 achieve efficiency 94% within 120 min. It observed under higher than 2, activate peroxymonosulfate (PMS) produce reactive oxygen species (ROS) for reach 99% min even neutral conditions....
Abstract RNA‐dependent liquid‐liquid phase separation (LLPS) proteins play critical roles in cellular processes such as stress granule formation, DNA repair, RNA metabolism, germ cell development, and protein translation regulation. The abnormal behavior of these is associated with various diseases, particularly neurodegenerative disorders like amyotrophic lateral sclerosis frontotemporal dementia, making their identification crucial. However, conventional biochemistry‐based methods for...
Abstract A fast and nondestructive detection method based on hyperspectral imaging technology (HSI) was investigated in this study to discriminate different oolong tea varieties. Five varieties of were taken as the research object. Multiplicative scatter correction used reduce influence noise raw spectra. Then competitive adaptive reweighted sampling bootstrapping soft shrinkage (BOSS) applied, respectively, select characteristic wavelengths. Extreme gradient boosting (XGBoost) light machine...
Essential genes have attracted increasing attention in recent years due to the important functions of these organisms. Among methods used identify essential genes, accurate and efficient computational can make up for deficiencies expensive time-consuming experimental technologies. In this review, we collected researches on gene predictions prokaryotes eukaryotes summarized five predominant types features studies. The include evolutionary conservation, domain information, network topology,...
Investigation of essential genes is significant to comprehend the minimal gene sets cell and discover potential drug targets. In this study, a novel approach based on multiple homology mapping machine learning method was introduced predict genes. We focused 25 bacteria which have characterized The predictions yielded highest area under receiver operating characteristic (ROC) curve (AUC) 0.9716 through tenfold cross-validation test. Proper features were utilized construct models make in...
The differences in evolutionary patterns of young protein–protein interactions (PPIs) among distinct species have long been a puzzle. However, based on our genome-wide analysis available integrated experimental data, we confirm that genes preferentially integrate into ancestral PPI networks, and this manner is consistent all six model organisms with widely different levels phenotypic complexity. We demonstrate the level restrictions placed evolution biological networks declines decrease...
Pandemic cholera is a major concern for public health because of its high mortality and morbidity. Mutation accumulation (MA) experiments were performed on representative strain the current pandemic. Although base-pair substitution mutation rates in Vibrio cholerae (1.24 × 10−10 per site generation wild-type lines 3.29 10−8 mismatch repair deficient lines) are lower than that previously reported other bacteria using MA analysis, we discovered specific (8.31 site/generation 1.82 10−6 base...
Studies on codon property would deepen our understanding of the origin primitive life and enlighten biotechnical application. Here, we proposed a quantitative measurement codon-amino acid association found that seven out 13 physicochemical properties have stronger associations with nucleotide identity at second position, indicating protein structure function may associate more closely it than other two sites. When extending effect to level, was correlation between position (measured by...
Abstract Three groups recently identified essential genes in human cancer cell lines using wet experiments, and these are of high values. Herein, we improved the widely used Z curve method by creating a λ-interval curve, which considered interval association information. With this recursive feature elimination technology, computational model was developed to predict gene essentiality. The 5-fold cross-validation test based on our benchmark dataset obtained an area under receiver operating...
If a stop codon appears within one gene, then its translation will be terminated earlier than expected. False folding of premature protein adverse to the host; hence, all functional genes would tend avoid intragenic codons. Therefore, we hypothesize that there less frequency nucleotides corresponding codons at each position genes. Here, validate this inference by investigating nucleotide large scale and results from 19,911 prokaryote genomes revealed coinciding with indeed have lowest in...
Abstract In 2002, our research group observed a gene clustering pattern based on the base frequency of A versus T at second codon position in genome Vibrio cholera and found that functional category distribution genes two clusters was different. With availability large number sequenced genomes, we performed systematic investigation 2 –T 2694 out 2764 prokaryotic genomes have an optimal two, indicating consistent pattern. Analysis categories coding each cluster 1483 indicated, 99.33%...