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[PDF][PDF] A review of computational drug repurposing
K Park - Translational and clinical pharmacology, 2019 - synapse.koreamed.org
De novo drug development is an expensive and time-consuming process. It is known that
the total average development cost for a new drug ranges from $2 to $3 billion and the total …
the total average development cost for a new drug ranges from $2 to $3 billion and the total …
A survey of current trends in computational drug repositioning
Computational drug repositioning or repurposing is a promising and efficient tool for
discovering new uses from existing drugs and holds the great potential for precision …
discovering new uses from existing drugs and holds the great potential for precision …
A review of network-based approaches to drug repositioning
Experimental drug development is time-consuming, expensive and limited to a relatively
small number of targets. However, recent studies show that repositioning of existing drugs …
small number of targets. However, recent studies show that repositioning of existing drugs …
[HTML][HTML] Drug repurposing in oncology: Compounds, pathways, phenotypes and computational approaches for colorectal cancer
P Nowak-Sliwinska, L Scapozza, AR i Altaba - Biochimica et Biophysica …, 2019 - Elsevier
The strategy of using existing drugs originally developed for one disease to treat other
indications has found success across medical fields. Such drug repurposing promises faster …
indications has found success across medical fields. Such drug repurposing promises faster …
[HTML][HTML] Drug repositioning: New approaches and future prospects for life-debilitating diseases and the COVID-19 pandemic outbreak
Traditionally, drug discovery utilises a de novo design approach, which requires high cost
and many years of drug development before it reaches the market. Novel drug development …
and many years of drug development before it reaches the market. Novel drug development …
Machine learning applications in drug development
Due to the huge amount of biological and medical data available today, along with well-
established machine learning algorithms, the design of largely automated drug development …
established machine learning algorithms, the design of largely automated drug development …
A bibliometric review of drug repurposing
Highlights•A bibliometric review of drug repurposing provides novel insights into the
practice.•Some drugs have been tried in hundreds of diseases.•Even an old drug like …
practice.•Some drugs have been tried in hundreds of diseases.•Even an old drug like …
Broad-coverage biomedical relation extraction with SemRep
Background In the era of information overload, natural language processing (NLP)
techniques are increasingly needed to support advanced biomedical information …
techniques are increasingly needed to support advanced biomedical information …
Recent advances in biomedical literature mining
The recent years have witnessed a rapid increase in the number of scientific articles in
biomedical domain. These literature are mostly available and readily accessible in …
biomedical domain. These literature are mostly available and readily accessible in …
Past, current and future trends in enterprise architecture—A view beyond the horizon
F Gampfer, A Jürgens, M Müller, R Buchkremer - Computers in industry, 2018 - Elsevier
Since its introduction in the late nineteen eighties, the discipline of Enterprise Architecture
(EA) has evolved into a well-known practice of managing information systems in alignment …
(EA) has evolved into a well-known practice of managing information systems in alignment …