AIMC Topic: Computational Biology

Clear Filters Showing 761 to 770 of 4399 articles

Drug-Target Binding Affinity Prediction in a Continuous Latent Space Using Variational Autoencoders.

IEEE/ACM transactions on computational biology and bioinformatics Oct 9, 2024
Accurate prediction of Drug-Target binding Affinity (DTA) is a daunting yet pivotal task in the sphere of drug discovery. Over the years, a plethora of deep learning-based DTA models have emerged, rendering promising results in predicting the binding...
Algorithms Computational Biology Proteins Deep Learning Drug Discovery Protein Binding Pharmaceutical Preparations Humans Neural Networks, Computer
View on PubMed DOI

Graph Representation Learning Based on Specific Subgraphs for Biomedical Interaction Prediction.

IEEE/ACM transactions on computational biology and bioinformatics Oct 9, 2024
Discovering the novel associations of biomedical entities is of great significance and can facilitate not only the identification of network biomarkers of disease but also the search for putative drug targets.Graph representation learning (GRL) has i...
Machine Learning Humans Algorithms Computational Biology Neural Networks, Computer
View on PubMed DOI

Geometry-Augmented Molecular Representation Learning for Property Prediction.

IEEE/ACM transactions on computational biology and bioinformatics Oct 9, 2024
Accurate molecular representation plays a crucial role in expediting the process of drug discovery. Graph neural networks (GNNs) have demonstrated robust capabilities in molecular representation learning, adept at capturing structural and spatial inf...
Machine Learning Algorithms Drug Discovery Computational Biology Models, Molecular Neural Networks, Computer
View on PubMed DOI

Analysis of Cancer-Associated Mutations of POLB Using Machine Learning and Bioinformatics.

IEEE/ACM transactions on computational biology and bioinformatics Oct 9, 2024
DNA damage is a critical factor in the onset and progression of cancer. When DNA is damaged, the number of genetic mutations increases, making it necessary to activate DNA repair mechanisms. A crucial factor in the base excision repair process, which...
Algorithms Neoplasms Computational Biology Mutation Polymorphism, Single Nucleotide Humans Machine Learning DNA Polymerase beta
View on PubMed DOI

A Network Enhancement Method to Identify Spurious Drug-Drug Interactions.

IEEE/ACM transactions on computational biology and bioinformatics Oct 9, 2024
As medical safety and drug regulation gain heightened attention, the detection of spurious drug-drug interactions (DDI) has become key in healthcare. Although current research using graph neural networks (GNNs) to predict DDI has shown impressive res...
Computational Biology Neural Networks, Computer Humans Drug Interactions Algorithms
View on PubMed DOI

PseU-KeMRF: A Novel Method for Identifying RNA Pseudouridine Sites.

IEEE/ACM transactions on computational biology and bioinformatics Oct 9, 2024
Pseudouridine is a type of abundant RNA modification that is seen in many different animals and is crucial for a variety of biological functions. Accurately identifying pseudouridine sites within the RNA sequence is vital for the subsequent study of ...
RNA Saccharomyces cerevisiae Pseudouridine Sequence Analysis, RNA Support Vector Machine Mice Computational Biology Algorithms Animals Humans
View on PubMed DOI

TransC-ac4C: Identification of N4-Acetylcytidine (ac4C) Sites in mRNA Using Deep Learning.

IEEE/ACM transactions on computational biology and bioinformatics Oct 9, 2024
N4-acetylcytidine (ac4C) is a post-transcriptional modification in mRNA that is critical in mRNA translation in terms of stability and regulation. In the past few years, numerous approaches employing convolutional neural networks (CNN) and Transforme...
Sequence Analysis, RNA Cytidine Computational Biology RNA, Messenger Algorithms Deep Learning
View on PubMed DOI

HybAVPnet: A Novel Hybrid Network Architecture for Antiviral Peptides Prediction.

IEEE/ACM transactions on computational biology and bioinformatics Oct 9, 2024
Viruses pose a great threat to human production and life, thus the research and development of antiviral drugs is urgently needed. Antiviral peptides play an important role in drug design and development. Compared with the time-consuming and laboriou...
Algorithms Peptides Antiviral Agents Neural Networks, Computer Machine Learning Computational Biology
View on PubMed DOI

TDFFM: Transformer and Deep Forest Fusion Model for Predicting Coronavirus 3C-Like Protease Cleavage Sites.

IEEE/ACM transactions on computational biology and bioinformatics Oct 9, 2024
COVID-19, caused by the highly contagious SARS-CoV-2 virus, is distinguished by its positive-sense, single-stranded RNA genome. A thorough understanding of SARS-CoV-2 pathogenesis is crucial for halting its proliferation. Notably, the 3C-like proteas...
SARS-CoV-2 Deep Learning Decision Trees Coronavirus 3C Proteases COVID-19 Computational Biology Humans Algorithms
View on PubMed DOI

FluPMT: Prediction of Predominant Strains of Influenza A Viruses via Multi-Task Learning.

IEEE/ACM transactions on computational biology and bioinformatics Oct 9, 2024
Seasonal influenza vaccines play a crucial role in saving numerous lives annually. However, the constant evolution of the influenza A virus necessitates frequent vaccine updates to ensure its ongoing effectiveness. The decision to develop a new vacci...
Algorithms Influenza A virus Humans Machine Learning Influenza, Human Influenza Vaccines Computational Biology Hemagglutinin Glycoproteins, Influenza Virus Evolution, Molecular
View on PubMed DOI
Popular Topics
Recent Journals