Artificial intelligence to deep learning: machine intelligence approach for drug discovery
Drug designing and development is an important area of research for pharmaceutical
companies and chemical scientists. However, low efficacy, off-target delivery, time …
companies and chemical scientists. However, low efficacy, off-target delivery, time …
A review of computational drug repositioning: strategies, approaches, opportunities, challenges, and directions
Drug repositioning is the process of identifying novel therapeutic potentials for existing drugs
and discovering therapies for untreated diseases. Drug repositioning, therefore, plays an …
and discovering therapies for untreated diseases. Drug repositioning, therefore, plays an …
[HTML][HTML] Review of drug repositioning approaches and resources
Drug discovery is a time-consuming, high-investment, and high-risk process in traditional
drug development. Drug repositioning has become a popular strategy in recent years …
drug development. Drug repositioning has become a popular strategy in recent years …
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 computational drug repurposing
K Park - Translational and clinical pharmacology, 2019 - synapse.koreamed.org
Although sciences and technology have progressed rapidly, de novo drug development has
been a costly and time-consuming process over the past decades. In view of these …
been a costly and time-consuming process over the past decades. In view of these …
DDR: efficient computational method to predict drug–target interactions using graph mining and machine learning approaches
Motivation Finding computationally drug–target interactions (DTIs) is a convenient strategy
to identify new DTIs at low cost with reasonable accuracy. However, the current DTI …
to identify new DTIs at low cost with reasonable accuracy. However, the current DTI …
Plant Derived Bioactive Compounds, Their Anti-Cancer Effects and In Silico Approaches as an Alternative Target Treatment Strategy for Breast Cancer: An Updated …
V Shrihastini, P Muthuramalingam, S Adarshan… - Cancers, 2021 - mdpi.com
Simple Summary Breast cancer is one of the leading causes of death among women
worldwide. Breast cancer may be provoked due to several physical, chemical and …
worldwide. Breast cancer may be provoked due to several physical, chemical and …
Use of big data in drug development for precision medicine: an update
Introduction: Big-data-driven drug development resources and methodologies have been
evolving with ever-expanding data from large-scale biological experiments, clinical trials …
evolving with ever-expanding data from large-scale biological experiments, clinical trials …
Self-management interventions for chronic kidney disease: a systematic review and meta-analysis
Background Self-management intervention aims to facilitate an individual's ability to make
lifestyle changes. The effectiveness of this intervention in non-dialysis patients with chronic …
lifestyle changes. The effectiveness of this intervention in non-dialysis patients with chronic …
Computational and experimental advances in drug repositioning for accelerated therapeutic stratification
K Shameer, B Readhead… - Current topics in medicinal …, 2015 - ingentaconnect.com
Drug repositioning is an important component of therapeutic stratification in the precision
medicine paradigm. Molecular profiling and more sophisticated analysis of longitudinal …
medicine paradigm. Molecular profiling and more sophisticated analysis of longitudinal …