AIMC Topic: Drug Discovery

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Artificial intelligence in drug discovery: applications and techniques.

Briefings in bioinformatics
Artificial intelligence (AI) has been transforming the practice of drug discovery in the past decade. Various AI techniques have been used in many drug discovery applications, such as virtual screening and drug design. In this survey, we first give a...

Drug-target interaction predication via multi-channel graph neural networks.

Briefings in bioinformatics
Drug-target interaction (DTI) is an important step in drug discovery. Although there are many methods for predicting drug targets, these methods have limitations in using discrete or manual feature representations. In recent years, deep learning meth...

HyperAttentionDTI: improving drug-protein interaction prediction by sequence-based deep learning with attention mechanism.

Bioinformatics (Oxford, England)
MOTIVATION: Identifying drug-target interactions (DTIs) is a crucial step in drug repurposing and drug discovery. Accurately identifying DTIs in silico can significantly shorten development time and reduce costs. Recently, many sequence-based methods...

Artificial Intelligence Approaches in Drug Discovery: Towards the Laboratory of the Future.

Current topics in medicinal chemistry
The role of computational tools in the drug discovery and development process is becoming central, thanks to the possibility to analyze large amounts of data. The high throughput and affordability of current omics technologies, allowing quantitative ...

Machine Learning and Artificial Intelligence: A Paradigm Shift in Big Data-Driven Drug Design and Discovery.

Current topics in medicinal chemistry
BACKGROUND: The lengthy and expensive process of developing a novel medicine often takes many years and entails a significant financial burden due to its poor success rate. Furthermore, the processing and analysis of quickly expanding massive data ne...

Application of Artificial Intelligence in Drug Discovery.

Current pharmaceutical design
Due to the heap of data sets available for drug discovery, modern drug discovery has taken the shape of big data. Usage of Artificial intelligence (AI) can help to modify drug discovery based on big data to precised, knowledgeable data. The pharmaceu...

A Review on an Artificial Intelligence Based Ophthalmic Application.

Current pharmaceutical design
Artificial intelligence is the leading branch of technology and innovation. The utility of artificial intelligence in the field of medicine is also remarkable. From drug discovery and development to introducing products to the market, artificial inte...

Artificial Intelligence (AI) in Drugs and Pharmaceuticals.

Combinatorial chemistry & high throughput screening
The advancement of computing and technology has invaded all the dimensions of science. Artificial intelligence (AI) is one core branch of Computer Science, which has percolated to all the arenas of science and technology, from core engineering to med...

Artificial Intelligence in Drug Safety and Metabolism.

Methods in molecular biology (Clifton, N.J.)
The use of artificial intelligence methods in drug safety began in the early 2000s with applications such as predicting bacterial mutagenicity and hERG inhibition. The field has been endlessly expanding ever since and the models have become more comp...

Opportunities and Considerations in the Application of Artificial Intelligence to Pharmacokinetic Prediction.

Methods in molecular biology (Clifton, N.J.)
The improvement in the ability of the pharmaceutical industry to predict human pharmacokinetic behavior are attributable to major technological shifts from 1990 to the present day. The opportunity for the application of AI/ML based approaches in the ...