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Defining antimalarial drug action using machine learning

A team of researchers have developed a semi-supervised machine learning approach to define antimalarial drug action from heterogenous cell-based screens. […]

Identifying Adverse Drug Reaction Mechanisms

A recent article proposed the mining of knowledge graphs to identify biomolecular adverse drug reaction mechanisms, which at present largely […]

Drug-Drug Interaction Algorithms – An Evaluation

A recent study developed, validated and evaluated drug-drug interaction algorithms that alert clinicians to potentially harmful interactions, which take advantage […]

Ensemble Learning-Based Method for Inferring Drug-Target Interactions

A recent study presented a novel computational method for inferring drug-target interactions, which exploits the primary protein sequence and molecular […]

IBDREAM Registry – Adverse Drug Reactions from Real-World Data in IBD

A recent study, published in Drug Safety, aimed to describe the adverse drug reactions reported in inflammatory bowel disease patients […]

WELM-SURF: Predicting Drug-Target Interactions

Predicting novel drug-target interactions plays an important role in identifying new drug candidates and finding new proteins to target. An […]

Predicting Metabolite-Target Interactions for Drug Discovery

A recent article, published in Communications Biology, has outlined a method for expanding our understanding of host-microbiome interactions that will […]

A new workflow for drug discovery bypasses current inefficiencies

Researchers from the Laboratory of Computational Systems Biotechnology at EPFL, Switzerland, have developed a database – NICEdrug.ch – that could […]

The role of artificial intelligence (AI) and big data in drug discovery

For the first time, a review explored in depth how big data and artificial intelligence (AI) techniques are currently being […]

NRPminer: A machine learning algorithm that explores nature to discover new drugs

Researchers have developed a machine learning algorithm, called NRPminer, that makes it easier for scientists to develop drugs from natural […]