Artificial intelligence in cancer target identification and drug discovery
Artificial intelligence is an advanced method to identify novel anticancer targets and discover
novel drugs from biology networks because the networks can effectively preserve and …
novel drugs from biology networks because the networks can effectively preserve and …
Drug repositioning: a brief overview
JP Jourdan, R Bureau, C Rochais… - Journal of Pharmacy …, 2020 - academic.oup.com
Objectives Drug repositioning, that is, the use of a drug in an indication other than the one
for which it was initially marketed, is a growing trend. Its origins lie mainly in the attrition …
for which it was initially marketed, is a growing trend. Its origins lie mainly in the attrition …
Recent applications of deep learning and machine intelligence on in silico drug discovery: methods, tools and databases
The identification of interactions between drugs/compounds and their targets is crucial for
the development of new drugs. In vitro screening experiments (ie bioassays) are frequently …
the development of new drugs. In vitro screening experiments (ie bioassays) are frequently …
Drug repurposing for antimicrobial discovery
Antimicrobial resistance continues to be a public threat on a global scale. The ongoing need
to develop new antimicrobial drugs that are effective against multi-drug-resistant pathogens …
to develop new antimicrobial drugs that are effective against multi-drug-resistant pathogens …
On the Integration of In Silico Drug Design Methods for Drug Repurposing
E March-Vila, L Pinzi, N Sturm, A Tinivella… - Frontiers in …, 2017 - frontiersin.org
Drug repurposing has become an important branch of drug discovery. Several
computational approaches that help to uncover new repurposing opportunities and aid the …
computational approaches that help to uncover new repurposing opportunities and aid the …
LRSSL: predict and interpret drug–disease associations based on data integration using sparse subspace learning
X Liang, P Zhang, L Yan, Y Fu, F Peng, L Qu… - …, 2017 - academic.oup.com
Motivation Exploring the potential curative effects of drugs is crucial for effective drug
development. Previous studies have indicated that integration of multiple types of …
development. Previous studies have indicated that integration of multiple types of …
Improving drug response prediction by integrating multiple data sources: matrix factorization, kernel and network-based approaches
B Güvenç Paltun, H Mamitsuka… - Briefings in …, 2021 - academic.oup.com
Predicting the response of cancer cell lines to specific drugs is one of the central problems in
personalized medicine, where the cell lines show diverse characteristics. Researchers have …
personalized medicine, where the cell lines show diverse characteristics. Researchers have …
Drug repositioning through integration of prior knowledge and projections of drugs and diseases
Motivation Identifying and developing novel therapeutic effects for existing drugs contributes
to reduction of drug development costs. Most of the previous methods focus on integration of …
to reduction of drug development costs. Most of the previous methods focus on integration of …
4-Hydroxyphenylpyruvate dioxygenase and its inhibition in plants and animals: small molecules as herbicides and agents for the treatment of human inherited …
A Santucci, G Bernardini, D Braconi… - Journal of Medicinal …, 2017 - ACS Publications
This review mainly focuses on the physiological function of 4-hydroxyphenylpyruvate
dioxygenase (HPPD), as well as on the development and application of HPPD inhibitors of …
dioxygenase (HPPD), as well as on the development and application of HPPD inhibitors of …
Drug repurposing against breast cancer by integrating drug-exposure expression profiles and drug–drug links based on graph neural network
Motivation Breast cancer is one of the leading causes of cancer deaths among women
worldwide. It is necessary to develop new breast cancer drugs because of the shortcomings …
worldwide. It is necessary to develop new breast cancer drugs because of the shortcomings …