Search Results - "Dong, Benzhi"
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HMMF: a hybrid multi-modal fusion framework for predicting drug side effect frequencies
Published in BMC bioinformatics (20-05-2024)“…The identification of drug side effects plays a critical role in drug repositioning and drug screening. While clinical experiments yield accurate and reliable…”
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SERT-StructNet: Protein secondary structure prediction method based on multi-factor hybrid deep model
Published in Computational and structural biotechnology journal (01-12-2024)“…Protein secondary structure prediction (PSSP) is a pivotal research endeavour that plays a crucial role in the comprehensive elucidation of protein functions…”
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DAEMDA: A Method with Dual-Channel Attention Encoding for miRNA–Disease Association Prediction
Published in Biomolecules (Basel, Switzerland) (01-10-2023)“…A growing number of studies have shown that aberrant microRNA (miRNA) expression is closely associated with the evolution and development of various complex…”
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Antimicrobial Peptides Prediction method based on sequence multidimensional feature embedding
Published in Frontiers in genetics (17-11-2022)“…Antimicrobial peptides (AMPs) are alkaline substances with efficient bactericidal activity produced in living organisms. As the best substitute for…”
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SNAREs-SAP: SNARE Proteins Identification With PSSM Profiles
Published in Frontiers in genetics (20-12-2021)“…Soluble N-ethylmaleimide sensitive factor activating protein receptor (SNARE) proteins are a large family of transmembrane proteins located in organelles and…”
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Identification of Secreted Proteins From Malaria Protozoa With Few Features
Published in IEEE access (2020)“…Secreted proteins from malaria protozoa play a critical role in the research and development of antimalarial drugs. Therefore, the precise identification of…”
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Impact of Multi-Factor Features on Protein Secondary Structure Prediction
Published in Biomolecules (Basel, Switzerland) (13-09-2024)“…Protein secondary structure prediction (PSSP) plays a crucial role in resolving protein functions and properties. Significant progress has been made in this…”
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The Classification of Enzymes by Deep Learning
Published in IEEE access (2020)“…Enzymes, as a group of crucial biocatalysts produced by living cells, enable the chemical reactions in organisms to be more efficient. According to the…”
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VTP-Identifier: Vesicular Transport Proteins Identification Based on PSSM Profiles and XGBoost
Published in Frontiers in genetics (03-01-2022)“…Vesicular transport proteins are related to many human diseases, and they threaten human health when they undergo pathological changes. Protein function…”
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The frequencies of oppositely charged, uncharged polar, and β-branched amino acids determine proteins' thermostability
Published in IEEE access (01-01-2020)“…Enhancing proteins' thermostability is an important aspect of enzyme engineering. Many studies have investigated the properties that determine the proteins'…”
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Prediction of antioxidant proteins using hybrid feature representation method and random forest
Published in Genomics (San Diego, Calif.) (01-11-2020)“…Natural antioxidant proteins are mainly found in plants and animals, which interact to eliminate excessive free radicals and protect cells and DNA from damage,…”
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Revisiting genome-wide association studies from statistical modelling to machine learning
Published in Briefings in bioinformatics (01-07-2021)“…Abstract Over the last decade, genome-wide association studies (GWAS) have discovered thousands of genetic variants underlying complex human diseases and…”
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CWLy-pred: A novel cell wall lytic enzyme identifier based on an improved MRMD feature selection method
Published in Genomics (San Diego, Calif.) (01-11-2020)“…Cell wall lytic enzymes play key roles in biochemical, morphological, genetic research and industry fields. To save time and labor costs, bioinformatic methods…”
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MDformer: A transformer-based method for predicting miRNA-Disease associations using multi-source feature fusion and maximal meta-path instances encoding
Published in Computers in biology and medicine (01-12-2023)“…There is a growing body of evidence suggesting that microRNAs (miRNAs), small biological molecules, play a crucial role in the diagnosis, treatment, and…”
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GTAD: a graph-based approach for cell spatial composition inference from integrated scRNA-seq and ST-seq data
Published in Briefings in bioinformatics (22-11-2023)“…With the emergence of spatial transcriptome sequencing (ST-seq), research now heavily relies on the joint analysis of ST-seq and single-cell RNA sequencing…”
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ILMCNet: A Deep Neural Network Model That Uses PLM to Process Features and Employs CRF to Predict Protein Secondary Structure
Published in Genes (21-10-2024)“…Protein secondary structure prediction (PSSP) is a critical task in computational biology, pivotal for understanding protein function and advancing medical…”
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Identification of Human Enzymes Using Amino Acid Composition and the Composition of k-Spaced Amino Acid Pairs
Published in BioMed research international (2020)“…Enzymes are proteins that can efficiently catalyze specific biochemical reactions, and they are widely present in the human body. Developing an efficient…”
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Extraction and analysis of the man-made fiberboard cavity based on image recognition technique
Published in The 2010 IEEE International Conference on Information and Automation (01-06-2010)“…The cavity is an important indicator of quality detection for the man-made fiberboard. According to the smaller sizes, the variant shapes and the larger range…”
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