A review of computational drug repositioning: strategies, approaches, opportunities, challenges, and directions

TN Jarada, JG Rokne, R Alhajj - Journal of cheminformatics, 2020 - Springer
Drug repositioning is the process of identifying novel therapeutic potentials for existing drugs
and discovering therapies for untreated diseases. Drug repositioning, therefore, plays an …

[HTML][HTML] Review of drug repositioning approaches and resources

H Xue, J Li, H Xie, Y Wang - International journal of biological …, 2018 - ncbi.nlm.nih.gov
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 …

Machine learning approaches and databases for prediction of drug–target interaction: a survey paper

M Bagherian, E Sabeti, K Wang… - Briefings in …, 2021 - academic.oup.com
The task of predicting the interactions between drugs and targets plays a key role in the
process of drug discovery. There is a need to develop novel and efficient prediction …

Machine learning for integrating data in biology and medicine: Principles, practice, and opportunities

M Zitnik, F Nguyen, B Wang, J Leskovec… - Information …, 2019 - Elsevier
New technologies have enabled the investigation of biology and human health at an
unprecedented scale and in multiple dimensions. These dimensions include a myriad of …

Neighborhood regularized logistic matrix factorization for drug-target interaction prediction

Y Liu, M Wu, C Miao, P Zhao, XL Li - PLoS computational biology, 2016 - journals.plos.org
In pharmaceutical sciences, a crucial step of the drug discovery process is the identification
of drug-target interactions. However, only a small portion of the drug-target interactions have …

Structure and dynamics of molecular networks: a novel paradigm of drug discovery: a comprehensive review

P Csermely, T Korcsmáros, HJM Kiss, G London… - Pharmacology & …, 2013 - Elsevier
Despite considerable progress in genome-and proteome-based high-throughput screening
methods and in rational drug design, the increase in approved drugs in the past decade did …

Information retrieval and text mining technologies for chemistry

M Krallinger, O Rabal, A Lourenco, J Oyarzabal… - Chemical …, 2017 - ACS Publications
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 …

Elucidating compound mechanism of action by network perturbation analysis

JH Woo, Y Shimoni, WS Yang, P Subramaniam, A Iyer… - Cell, 2015 - cell.com
Genome-wide identification of the mechanism of action (MoA) of small-molecule compounds
characterizing their targets, effectors, and activity modulators represents a highly relevant yet …

Shaping the interaction landscape of bioactive molecules

D Gfeller, O Michielin, V Zoete - Bioinformatics, 2013 - academic.oup.com
Motivation: Most bioactive molecules perform their action by interacting with proteins or other
macromolecules. However, for a significant fraction of them, the primary target remains …

PREDICT: a method for inferring novel drug indications with application to personalized medicine

A Gottlieb, GY Stein, E Ruppin… - Molecular systems biology, 2011 - embopress.org
Inferring potential drug indications, for either novel or approved drugs, is a key step in drug
development. Previous computational methods in this domain have focused on either drug …