AIMC Topic: Drug Development

Clear Filters Showing 81 to 90 of 313 articles

MFD-GDrug: multimodal feature fusion-based deep learning for GPCR-drug interaction prediction.

Methods (San Diego, Calif.) Jan 28, 2024
The accurate identification of drug-protein interactions (DPIs) is crucial in drug development, especially concerning G protein-coupled receptors (GPCRs), which are vital targets in drug discovery. However, experimental validation of GPCR-drug pairin...
Drug Interactions Drug Discovery Drug Development Deep Learning Neural Networks, Computer
View on PubMed DOI

SSLDTI: A novel method for drug-target interaction prediction based on self-supervised learning.

Artificial intelligence in medicine Jan 18, 2024
Many computational methods have been proposed to identify potential drug-target interactions (DTIs) to expedite drug development. Graph neural network (GNN) methods are considered to be one of the most effective approaches. However, shallow GNN metho...
Supervised Machine Learning Databases, Factual Neural Networks, Computer Drug Development
View on PubMed DOI

An Overview of Advances in Rare Cancer Diagnosis and Treatment.

International journal of molecular sciences Jan 18, 2024
Cancer stands as the leading global cause of mortality, with rare cancer comprising 230 distinct subtypes characterized by infrequent incidence. Despite the inherent challenges in addressing the diagnosis and treatment of rare cancers due to their lo...
Humans Artificial Intelligence Immunotherapy Drug Development Neoplasms Drug Therapy, Combination
View on PubMed DOI

Generative artificial intelligence empowers digital twins in drug discovery and clinical trials.

Expert opinion on drug discovery Jan 8, 2024
INTRODUCTION: The concept of Digital Twins (DTs) translated to drug development and clinical trials describes virtual representations of systems of various complexities, ranging from individual cells to entire humans, and enables in silico simulation...
Artificial Intelligence Computer Simulation Humans Drug Development Clinical Trials as Topic Drug Discovery Biomedical Research
View on PubMed DOI

HyperPCM: Robust Task-Conditioned Modeling of Drug-Target Interactions.

Journal of chemical information and modeling Jan 7, 2024
A central problem in drug discovery is to identify the interactions between drug-like compounds and protein targets. Over the past few decades, various quantitative structure-activity relationship (QSAR) and proteo-chemometric (PCM) approaches have b...
Drug Discovery Neural Networks, Computer Proteins Machine Learning Drug Development
View on PubMed DOI

Multitype Perception Method for Drug-Target Interaction Prediction.

IEEE/ACM transactions on computational biology and bioinformatics Dec 25, 2023
With the growing popularity of artificial intelligence in drug discovery, many deep-learning technologies have been used to automatically predict unknown drug-target interactions (DTIs). A unique challenge in using these technologies to predict DTI i...
Drug Development Drug Interactions Drug Discovery Artificial Intelligence Perception
View on PubMed DOI

Learning image representations for anomaly detection: Application to discovery of histological alterations in drug development.

Medical image analysis Dec 21, 2023
We present a system for anomaly detection in histopathological images. In histology, normal samples are usually abundant, whereas anomalous (pathological) cases are scarce or not available. Under such settings, one-class classifiers trained on health...
Neural Networks, Computer Drug Development Humans
View on PubMed DOI

Emerging drug interaction prediction enabled by a flow-based graph neural network with biomedical network.

Nature computational science Dec 20, 2023
Drug-drug interactions (DDIs) for emerging drugs offer possibilities for treating and alleviating diseases, and accurately predicting these with computational methods can improve patient care and contribute to efficient drug development. However, man...
Drug Interactions Humans Neural Networks, Computer Drug Development
View on PubMed DOI

ChatGPT or LLM in next-generation drug discovery and development: pharmaceutical and biotechnology companies can make use of the artificial intelligence-based device for a faster way of drug discovery and development.

International journal of surgery (London, England) Dec 1, 2023
Humans Drug Discovery Biotechnology Drug Industry Artificial Intelligence Drug Development
View on PubMed DOI

VGAE-MCTS: A New Molecular Generative Model Combining the Variational Graph Auto-Encoder and Monte Carlo Tree Search.

Journal of chemical information and modeling Nov 22, 2023
Molecular generation is crucial for advancing drug discovery, materials science, and chemical exploration. It expedites the search for new drug candidates, facilitates tailored material creation, and enhances our understanding of molecular diversity....
Drug Development Learning Artificial Intelligence Monte Carlo Method Drug Discovery
View on PubMed DOI
Popular Topics
Recent Journals