Machine learning methods in drug discovery
The advancements of information technology and related processing techniques have
created a fertile base for progress in many scientific fields and industries. In the fields of drug …
created a fertile base for progress in many scientific fields and industries. In the fields of drug …
Biomedical data and computational models for drug repositioning: a comprehensive review
Drug repositioning can drastically decrease the cost and duration taken by traditional drug
research and development while avoiding the occurrence of unforeseen adverse events …
research and development while avoiding the occurrence of unforeseen adverse events …
[HTML][HTML] COVID-19 and cancer comorbidity: therapeutic opportunities and challenges
AS Pathania, P Prathipati, BAA Abdul, S Chava… - Theranostics, 2021 - ncbi.nlm.nih.gov
Abstract The coronavirus disease 2019 (COVID-19) is a viral disease caused by a novel
severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) that affects the respiratory …
severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) that affects the respiratory …
Artificial intelligence, big data and machine learning approaches in precision medicine & drug discovery
A Nayarisseri, R Khandelwal, P Tanwar… - Current drug …, 2021 - ingentaconnect.com
Artificial Intelligence revolutionizes the drug development process that can quickly identify
potential biologically active compounds from millions of candidate within a short period. The …
potential biologically active compounds from millions of candidate within a short period. The …
Artificial intelligence in early drug discovery enabling precision medicine
Introduction: Precision medicine is the concept of treating diseases based on environmental
factors, lifestyles, and molecular profiles of patients. This approach has been found to …
factors, lifestyles, and molecular profiles of patients. This approach has been found to …
MicroRNA-small molecule association identification: from experimental results to computational models
Small molecule is a kind of low molecular weight organic compound with variety of
biological functions. Studies have indicated that small molecules can inhibit a specific …
biological functions. Studies have indicated that small molecules can inhibit a specific …
Toward heterogeneous information fusion: bipartite graph convolutional networks for in silico drug repurposing
Motivation Mining drug–disease association and related interactions are essential for
developing in silico drug repurposing (DR) methods and understanding underlying …
developing in silico drug repurposing (DR) methods and understanding underlying …
Computational drug repurposing based on electronic health records: a scoping review
Computational drug repurposing methods adapt Artificial intelligence (AI) algorithms for the
discovery of new applications of approved or investigational drugs. Among the …
discovery of new applications of approved or investigational drugs. Among the …
Drug repurposing using real-world data
Highlights•250 records, including 144 original studies, met the eligibility criteria for inclusion
in this review.•Studies evaluated repurposing mainly for cardiovascular disease, COVID-19 …
in this review.•Studies evaluated repurposing mainly for cardiovascular disease, COVID-19 …
Systems biology based drug repositioning for development of cancer therapy
Drug repositioning is a powerful method that can assists the conventional drug discovery
process by using existing drugs for treatment of a disease rather than its original indication …
process by using existing drugs for treatment of a disease rather than its original indication …