NSTL国家科技图书文献中心

1. An Extended Feature Representation Technique for Predicting Sequenced-based Host-pathogen Protein-protein Interaction NSTL国家科技图书文献中心

Emmanuel, Jerry | Isewon, Itunuoluwa ... - 《Current Bioinformatics》 - 2025,20(3) - 229～245 - 共17页 - 被引量：1

摘要：Background The use of machine learning models | in sequence-based Protein-Protein Interaction | prediction typically requires the conversion of amino acid | sequences into feature vectors. From the literature, two | approaches have been used to achieve this transformation

关键词： Protein-protein interaction | feature representation | host-pathogen interaction | machine learning | protein sequence | feature vectors

2. Validating the Distinctiveness of the Omicron Lineage within the SARS-CoV-2 based on Protein Language Models NSTL国家科技图书文献中心

Dong, Ke | Gao, Jingyang - 《Current Bioinformatics》 - 2025,20(3) - 257～265 - 共9页

摘要：Introduction Variants of concern were | identified in severe acute respiratory syndrome coronavirus | 2, namely Alpha, Beta, Gamma, Delta, and Omicron | . This study explores the mutations of the Omicron | lineage and its differences from other lineages through

关键词： Protein language models | SARS-CoV-2 | Omicron | VOC | esm-1v | mutation

3. Enhancing Drug Peptide Sequence Prediction Using Multi-view Feature Fusion Learning NSTL国家科技图书文献中心

Zhang, Junyu | Lu, Ronglin ... - 《Current Bioinformatics》 - 2025,20(3) - 276～287 - 共12页

摘要：Background Currently, various types of | peptides have broad implications for human health and | disease. Some drug peptides play significant roles in | sensory science, drug research, and cancer biology. The | prediction and classification of peptide sequences are of

关键词： Drug | peptide sequence | multi-view feature | fusion learning | TextCNN | transformer encoder

4. CLPr_in_ML: Cleft Lip and Palate Reconstructed Features with Machine Learning NSTL国家科技图书文献中心

Chen, Baitong | Li, Ning ... - 《Current Bioinformatics》 - 2025,20(2) - 179～193 - 共15页

摘要：Background Cleft lip and palate are two of the | most common craniofacial congenital malformations in | humans. It influences tens of millions of patients | worldwide. The hazards of this disease are multifaceted | , extending beyond the obvious facial malformation to

关键词： Cleft lip | palate | conical beam CT | reconstructed features | machine learning | classification | random disturbance factor | craniofacial congenital

5. Hybrid Feature Extraction for Breast Cancer Classification Using the Ensemble Residual VGG16 Deep Learning Model NSTL国家科技图书文献中心

Wang, Zhenfei | Ali, Muhammad Mumtaz ... - 《Current Bioinformatics》 - 2025,20(2) - 149～163 - 共15页 - 被引量：1

摘要：Introduction Breast Cancer (BC) is a | significant cause of high mortality amongst women globally | and probably will remain a disease posing challenges | about its detectability. Advancements in medical | imaging technology have improved the accuracy and

关键词： Mammography images | breast cancer | CNN deep learning | hybrid architecture VGG16 | image preprocessing | mammography images

6. Integrated Somatic Mutation Network Diffusion Model for Stratification of Breast Cancer into Different Metabolic Mutation Subtypes NSTL国家科技图书文献中心

Su, Dongqing | Li, Honghao ... - 《Current Bioinformatics》 - 2025,20(3) - 246～256 - 共11页

摘要：Background Mutations in metabolism-related | genes in somatic cells potentially lead to disruption | of metabolic pathways, which results in patients | exhibiting different molecular and pathological | features.Objective In this study, we focused on somatic mutation

关键词： Breast cancer | somatic mutation | network diffusion | metabolic pathway | deep clustering | drug response prediction

7. DiffSeqMol: A Non-Autoregressive Diffusion-Based Approach for Molecular Sequence Generation and Optimization NSTL国家科技图书文献中心

Wang, Zixu | Chen, Yangyang ... - 《Current Bioinformatics》 - 2025,20(1) - 46～58 - 共13页

摘要：Background The application of deep generative | models for molecular discovery has witnessed a | significant surge in recent years. Currently, the field of | molecular generation and molecular optimization is | predominantly governed by autoregressive models regardless of

关键词： Diffusion model | molecule generation | molecule optimization | autoregressive approach | gaussian noise | encode models

8. An Exploratory Review on Recent Computational Approaches Devised for MiRNA Disease Association Prediction NSTL国家科技图书文献中心

Sujamol, S. | Vimina, E. R.... - 《Current Bioinformatics》 - 2025,20(2) - 120～138 - 共19页

摘要：Recent evidence demonstrated the fundamental | role of miRNAs as disease biomarkers and their role | in disease progression and pathology. Identifying | disease related miRNAs using computational approaches | has become one of the trending topics in health

关键词： Diseases | machine learning methods | matrix completion methods | miRNAs | miRNA disease association | network approaches

9. GB5mCPred: Cross-species 5mc Site Predictor Based on Bootstrap-based Stochastic Gradient Boosting Method for Poaceae NSTL国家科技图书文献中心

Sinha, Dipro | Dasmandal, Tanwy ... - 《Current Bioinformatics》 - 2025,20(2) - 139～148 - 共10页

摘要：Background One of the most prevalent | epigenetic alterations in all three kingdoms of life is 5mC | , which plays a part in a wide range of biological | functions. Although in-vitro techniques are more effective | in detecting epigenetic alterations, they are time

关键词： Epigenetics | 5mC prediction | artificial intelligence | hybrid feature selection | gradient boosting | poaceae.

10. Improved Hybrid Approach for Enhancing Protein Coding Regions Identification in DNA Sequences NSTL国家科技图书文献中心

Hassan, Emad S. | Dessouky, Ahmed M.... - 《Current Bioinformatics》 - 2025,20(3) - 208～228 - 共21页

摘要：Introduction Identifying and predicting | protein-coding regions within DNA sequences play a | pivotal role in genomic research. This paper introduces | an approach for identifying protein-coding regions | in DNA sequences, employing a hybrid methodology