AIMC Topic: Computational Biology

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Predicting Drug-Target Interactions Via Dual-Stream Graph Neural Network.

IEEE/ACM transactions on computational biology and bioinformatics Aug 8, 2024
Drug target interaction prediction is a crucial stage in drug discovery. However, brute-force search over a compound database is financially infeasible. We have witnessed the increasing measured drug-target interactions records in recent years, and t...
Computational Biology Algorithms Humans Proteins Neural Networks, Computer Drug Discovery Deep Learning Pharmaceutical Preparations
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Integrated CNN and Federated Learning for COVID-19 Detection on Chest X-Ray Images.

IEEE/ACM transactions on computational biology and bioinformatics Aug 8, 2024
Currently, Coronavirus Disease 2019 (COVID-19) is still endangering world health and safety and deep learning (DL) is expected to be the most powerful method for efficient detection of COVID-19. However, patients' privacy concerns prohibit data shari...
SARS-CoV-2 Humans Lung Neural Networks, Computer Deep Learning COVID-19 Computational Biology Algorithms Radiography, Thoracic
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Ensemble Deep Random Vector Functional Link Network Using Privileged Information for Alzheimer's Disease Diagnosis.

IEEE/ACM transactions on computational biology and bioinformatics Aug 8, 2024
Alzheimer's disease (AD) is a progressive brain disorder. Machine learning models have been proposed for the diagnosis of AD at early stage. Recently, deep learning architectures have received quite a lot attention. Most of the deep learning architec...
Computational Biology Alzheimer Disease Diagnosis, Computer-Assisted Deep Learning Humans Neural Networks, Computer Algorithms
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Predicting Disease-Metabolite Associations Based on the Metapath Aggregation of Tripartite Heterogeneous Networks.

Interdisciplinary sciences, computational life sciences Aug 7, 2024
The exploration of the interactions between diseases and metabolites holds significant implications for the diagnosis and treatment of diseases. However, traditional experimental methods are time-consuming and costly, and current computational method...
Deep Learning Computational Biology Neural Networks, Computer Algorithms Humans
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Bird song comparison using deep learning trained from avian perceptual judgments.

PLoS computational biology Aug 7, 2024
Our understanding of bird song, a model system for animal communication and the neurobiology of learning, depends critically on making reliable, validated comparisons between the complex multidimensional syllables that are used in songs. However, mos...
Finches Judgment Conditioning, Operant Male Deep Learning Sound Spectrography Vocalization, Animal Computational Biology Humans Algorithms Animals
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Machine Learning Using Template-Based-Predicted Structure of Haemagglutinin Predicts Pathogenicity of Avian Influenza.

Journal of microbiology and biotechnology Aug 6, 2024
Deep learning presents a promising approach to complex biological classifications, contingent upon the availability of well-curated datasets. This study addresses the challenge of analyzing three-dimensional protein structures by introducing a novel ...
Machine Learning Algorithms Influenza in Birds Birds Animals Neural Networks, Computer Hemagglutinin Glycoproteins, Influenza Virus Hemagglutinins Genome, Viral Computational Biology Principal Component Analysis Neuraminidase Influenza A virus Deep Learning
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Deep learning based method for predicting DNA N6-methyladenosine sites.

Methods (San Diego, Calif.) Aug 6, 2024
DNA N6 methyladenine (6mA) plays an important role in many biological processes, and accurately identifying its sites helps one to understand its biological effects more comprehensively. Previous traditional experimental methods are very labor-intens...
Humans Deep Learning DNA Adenosine Computational Biology DNA Methylation
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MultiModRLBP: A Deep Learning Approach for Multi-Modal RNA-Small Molecule Ligand Binding Sites Prediction.

IEEE journal of biomedical and health informatics Aug 6, 2024
This study aims to tackle the intricate challenge of predicting RNA-small molecule binding sites to explore the potential value in the field of RNA drug targets. To address this challenge, we propose the MultiModRLBP method, which integrates multi-mo...
Algorithms Binding Sites Small Molecule Libraries RNA Ligands Deep Learning Nucleic Acid Conformation Computational Biology
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A Computational Framework for Predicting Novel Drug Indications Using Graph Convolutional Network With Contrastive Learning.

IEEE journal of biomedical and health informatics Aug 6, 2024
Inferring potential drug indications plays a vital role in the drug discovery process. It can be time-consuming and costly to discover novel drug indications through biological experiments. Recently, graph learning-based methods have gained popularit...
Deep Learning Computational Biology Algorithms Drug Discovery Neural Networks, Computer Machine Learning Humans
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DeepBP: A transformer-based model for identifying blood-brain barrier penetrating peptides with data augmentation using feedback GAN.

Journal of advanced research Aug 5, 2024
INTRODUCTION: The blood-brain barrier (BBB) serves as a critical structural barrier and impedes the entry of most neurotherapeutic drugs into the brain. This poses substantial challenges for central nervous system (CNS) drug development, as there is ...
Humans Deep Learning Computational Biology Cell-Penetrating Peptides Drug Delivery Systems Peptides Blood-Brain Barrier
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