Artificial intelligence and machine learning‐aided drug discovery in central nervous system diseases: State‐of‐the‐arts and future directions
Neurological disorders significantly outnumber diseases in other therapeutic areas.
However, developing drugs for central nervous system (CNS) disorders remains the most …
However, developing drugs for central nervous system (CNS) disorders remains the most …
Named entity recognition and relation detection for biomedical information extraction
The number of scientific publications in the literature is steadily growing, containing our
knowledge in the biomedical, health, and clinical sciences. Since there is currently no …
knowledge in the biomedical, health, and clinical sciences. Since there is currently no …
Integration of multiomics data with graph convolutional networks to identify new cancer genes and their associated molecular mechanisms
The increase in available high-throughput molecular data creates computational challenges
for the identification of cancer genes. Genetic as well as non-genetic causes contribute to …
for the identification of cancer genes. Genetic as well as non-genetic causes contribute to …
PubMed and beyond: biomedical literature search in the age of artificial intelligence
Biomedical research yields vast information, much of which is only accessible through the
literature. Consequently, literature search is crucial for healthcare and biomedicine. Recent …
literature. Consequently, literature search is crucial for healthcare and biomedicine. Recent …
BEST: next-generation biomedical entity search tool for knowledge discovery from biomedical literature
As the volume of publications rapidly increases, searching for relevant information from the
literature becomes more challenging. To complement standard search engines such as …
literature becomes more challenging. To complement standard search engines such as …
[HTML][HTML] CircSNCA downregulation by pramipexole treatment mediates cell apoptosis and autophagy in Parkinson's disease by targeting miR-7
Q Sang, X Liu, L Wang, L Qi, W Sun, W Wang… - Aging (albany …, 2018 - ncbi.nlm.nih.gov
We aimed to explore the mechanism of pramipexole (PPX) actions in the treatment of
Parkinson's disease (PD). Genes related to PD and PPX were screened through …
Parkinson's disease (PD). Genes related to PD and PPX were screened through …
MODIG: integrating multi-omics and multi-dimensional gene network for cancer driver gene identification based on graph attention network model
Motivation Identifying genes that play a causal role in cancer evolution remains one of the
biggest challenges in cancer biology. With the accumulation of high-throughput multi-omics …
biggest challenges in cancer biology. With the accumulation of high-throughput multi-omics …
Artificial intelligence and machine-learning approaches in structure and ligand-based discovery of drugs affecting central nervous system
CNS disorders are indications with a very high unmet medical needs, relatively smaller
number of available drugs, and a subpar satisfaction level among patients and caregiver …
number of available drugs, and a subpar satisfaction level among patients and caregiver …
An analysis of disease-gene relationship from Medline abstracts by DigSee
Diseases are developed by abnormal behavior of genes in biological events such as gene
regulation, mutation, phosphorylation, and epigenetics and post-translational modification …
regulation, mutation, phosphorylation, and epigenetics and post-translational modification …
Multi-omics integration analysis of GPCRs in pan-cancer to uncover inter-omics relationships and potential driver genes
S Li, X Chen, J Chen, B Wu, J Liu, Y Guo, M Li… - Computers in Biology …, 2023 - Elsevier
G protein-coupled receptors (GPCRs) are the largest drug target family. Unfortunately,
applications of GPCRs in cancer therapy are scarce due to very limited knowledge …
applications of GPCRs in cancer therapy are scarce due to very limited knowledge …