Information retrieval and text mining technologies for chemistry
Efficient access to chemical information contained in scientific literature, patents, technical
reports, or the web is a pressing need shared by researchers and patent attorneys from …
reports, or the web is a pressing need shared by researchers and patent attorneys from …
How can natural language processing help model informed drug development?: a review
Objective To summarize applications of natural language processing (NLP) in model
informed drug development (MIDD) and identify potential areas of improvement. Materials …
informed drug development (MIDD) and identify potential areas of improvement. Materials …
Building a knowledge graph to enable precision medicine
Developing personalized diagnostic strategies and targeted treatments requires a deep
understanding of disease biology and the ability to dissect the relationship between …
understanding of disease biology and the ability to dissect the relationship between …
KG-Predict: A knowledge graph computational framework for drug repurposing
The emergence of large-scale phenotypic, genetic, and other multi-model biochemical data
has offered unprecedented opportunities for drug discovery including drug repurposing …
has offered unprecedented opportunities for drug discovery including drug repurposing …
[HTML][HTML] The DDI corpus: An annotated corpus with pharmacological substances and drug–drug interactions
The management of drug–drug interactions (DDIs) is a critical issue resulting from the
overwhelming amount of information available on them. Natural Language Processing …
overwhelming amount of information available on them. Natural Language Processing …
Extraction of relations between genes and diseases from text and large-scale data analysis: implications for translational research
Background Current biomedical research needs to leverage and exploit the large amount of
information reported in scientific publications. Automated text mining approaches, in …
information reported in scientific publications. Automated text mining approaches, in …
Big, deep, and smart data in scanning probe microscopy
Scanning probe microscopy (SPM) techniques have opened the door to nanoscience and
nanotechnology by enabling imaging and manipulation of the structure and functionality of …
nanotechnology by enabling imaging and manipulation of the structure and functionality of …
Repurposing ketamine to treat cocaine use disorder: Integration of artificial intelligence‐based prediction, expert evaluation, clinical corroboration and mechanism of …
Z Gao, TJ Winhusen, M Gorenflo, UE Ghitza… - …, 2023 - Wiley Online Library
Background and aims Cocaine use disorder (CUD) is a significant public health issue for
which there is no Food and Drug Administration (FDA) approved medication. Drug …
which there is no Food and Drug Administration (FDA) approved medication. Drug …
Predicting drug-disease associations and their therapeutic function based on the drug-disease association bipartite network
Drug-disease associations provide important information for drug discovery and drug
repositioning. Drug-disease associations can induce different effects, and the therapeutic …
repositioning. Drug-disease associations can induce different effects, and the therapeutic …
Literature-based discovery of new candidates for drug repurposing
Drug development is an expensive and time-consuming process; these could be reduced if
the existing resources could be used to identify candidates for drug repurposing. This study …
the existing resources could be used to identify candidates for drug repurposing. This study …