AIMC Topic: Computational Biology

Clear Filters Showing 281 to 290 of 4397 articles

Identification of CACNB1 protein as an actionable therapeutic target for hepatocellular carcinoma via metabolic dysfunction analysis in liver diseases: An integrated bioinformatics and machine learning approach for precise therapy.

International journal of biological macromolecules Mar 25, 2025
In addition to histological evaluation for nonalcoholic fatty liver disease (NAFLD), a comprehensive analysis of the metabolic landscape is urgently needed to categorize patients into distinct subgroups for precise treatment. In this study, a total o...
Gene Expression Regulation, Neoplastic Non-alcoholic Fatty Liver Disease Prognosis Female Male Humans Liver Neoplasms Middle Aged Machine Learning Carcinoma, Hepatocellular Computational Biology
View on PubMed DOI

SS-DTI: A deep learning method integrating semantic and structural information for drug-target interaction prediction.

Journal of bioinformatics and computational biology Mar 25, 2025
Drug-target interaction (DTI) prediction is pivotal in drug discovery and repurposing, providing a more efficient alternative to traditional wet-lab experiments by saving time and resources and expediting the identification of potential targets. Curr...
Proteins Drug Repositioning Pharmaceutical Preparations Drug Discovery Semantics Neural Networks, Computer Deep Learning Computational Biology
View on PubMed DOI

Identification of glucocorticoid-related genes in systemic lupus erythematosus using bioinformatics analysis and machine learning.

PloS one Mar 25, 2025
BACKGROUND: Systemic lupus erythematosus (SLE) is a complex autoimmune disease that has significant impacts on patients' quality of life and poses a substantial economic burden on society.
Case-Control Studies Gene Regulatory Networks Cluster Analysis Molecular Docking Simulation Computational Biology Humans Lupus Erythematosus, Systemic Machine Learning Gene Expression Profiling Glucocorticoids Transcriptome
View on PubMed DOI

CasPro-ESM2: Accurate identification of Cas proteins integrating pre-trained protein language model and multi-scale convolutional neural network.

International journal of biological macromolecules Mar 22, 2025
Cas proteins (CRISPR-associated protein) are the core components of the CRISPR-Cas system, playing critical roles in defending against foreign DNA and RNA invasions. Identifying Cas proteins can provide deeper insights into the immune mechanisms of t...
Software Convolutional Neural Networks Computational Biology CRISPR-Cas Systems CRISPR-Associated Proteins Neural Networks, Computer
View on PubMed DOI

Pan-cancer analysis of CDC7 in human tumors: Integrative multi-omics insights and discovery of novel marine-based inhibitors through machine learning and computational approaches.

Computers in biology and medicine Mar 22, 2025
Cancer remains a significant global health challenge, with the Cell Division Cycle 7 (CDC7) protein emerging as a potential therapeutic target due to its critical role in tumor proliferation, survival, and resistance. However, a comprehensive analysi...
Multiomics Protein Serine-Threonine Kinases Molecular Dynamics Simulation Drug Discovery Antineoplastic Agents Computational Biology Cell Cycle Proteins Humans Machine Learning Biomarkers, Tumor Neoplasms Molecular Docking Simulation
View on PubMed DOI

Bioinformatics and machine learning approaches to explore key biomarkers in muscle aging linked to adipogenesis.

BMC musculoskeletal disorders Mar 22, 2025
Adipogenesis is intricately linked to the onset and progression of muscle aging; however, the relevant biomarkers remain unclear. This study sought to identify key genes associated with adipogenesis in the context of muscle aging. Firstly, gene expre...
Humans Gene Expression Profiling Mice Computational Biology Machine Learning Quadriceps Muscle Animals Biomarkers Adipogenesis Male Aged Aging
View on PubMed DOI

Deep-ProBind: binding protein prediction with transformer-based deep learning model.

BMC bioinformatics Mar 22, 2025
Binding proteins play a crucial role in biological systems by selectively interacting with specific molecules, such as DNA, RNA, or peptides, to regulate various cellular processes. Their ability to recognize and bind target molecules with high speci...
Sequence Analysis, Protein Proteins Databases, Protein Binding Sites Deep Learning Protein Binding Computational Biology Neural Networks, Computer Algorithms
View on PubMed DOI

Assessment for antibiotic resistance in : A practical and interpretable machine learning model based on genome-wide genetic variation.

Virulence Mar 21, 2025
() antibiotic resistance poses a global health threat. Accurate identification of antibiotic resistant strains is essential for the control of infection. In the present study, our goal is to leverage the whole-genome data of to develop practical an...
Anti-Bacterial Agents Drug Resistance, Bacterial Microbial Sensitivity Tests Drug Resistance, Multiple, Bacterial Humans Machine Learning Helicobacter pylori Genetic Variation Genome, Bacterial Polymorphism, Single Nucleotide Computational Biology Helicobacter Infections
View on PubMed DOI

PCANN Program for Structure-Based Prediction of Protein-Protein Binding Affinity: Comparison With Other Neural-Network Predictors.

Proteins Mar 21, 2025
In this communication, we introduce a new structure-based affinity predictor for protein-protein complexes. This predictor, dubbed PCANN (Protein Complex Affinity by Neural Network), uses the ESM-2 language model to encode the information about prote...
Neural Networks, Computer Software Algorithms Humans Proteins Databases, Protein Protein Conformation Binding Sites Deep Learning Protein Binding Computational Biology
View on PubMed DOI

TopEC: prediction of Enzyme Commission classes by 3D graph neural networks and localized 3D protein descriptor.

Nature communications Mar 20, 2025
Tools available for inferring enzyme function from general sequence, fold, or evolutionary information are generally successful. However, they can lead to misclassification if a deviation in local structural features influences the function. Here, we...
Enzymes Graph Neural Networks Neural Networks, Computer Software Algorithms Computational Biology Protein Conformation Binding Sites
View on PubMed DOI
Popular Topics
Recent Journals