AIMC Topic: Drug Development

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Prediction of Drug-Target Interactions Based on Network Representation Learning and Ensemble Learning.

IEEE/ACM transactions on computational biology and bioinformatics Dec 8, 2021
Identifying interactions between drugs and target proteins is a critical step in the drug development process, as it helps identify new targets for drugs and accelerate drug development. The number of known drug-protein interactions (positive samples...
Decision Trees Proteins Pharmaceutical Preparations Humans Algorithms Machine Learning Computational Biology Drug Development Drug Interactions
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NegStacking: Drug-Target Interaction Prediction Based on Ensemble Learning and Logistic Regression.

IEEE/ACM transactions on computational biology and bioinformatics Dec 8, 2021
Drug-target interactions (DTIs) identification is an important issue of drug research, and many methods proposed to predict potential DTIs based on machine learning treat it as a binary classification problem. However, the number of known interacting...
Computational Biology Logistic Models Drug Development Machine Learning Computer Simulation
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A unified drug-target interaction prediction framework based on knowledge graph and recommendation system.

Nature communications Nov 22, 2021
Prediction of drug-target interactions (DTI) plays a vital role in drug development in various areas, such as virtual screening, drug repurposing and identification of potential drug side effects. Despite extensive efforts have been invested in perfe...
Drug Interactions Drug-Related Side Effects and Adverse Reactions Pattern Recognition, Automated Knowledge Drug Development Drug Repositioning Pharmaceutical Preparations Machine Learning Models, Theoretical
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Success stories of AI in drug discovery - where do things stand?

Expert opinion on drug discovery Oct 13, 2021
INTRODUCTION: Artificial intelligence (AI) in drug discovery and development (DDD) has gained more traction in the past few years. Many scientific reviews have already been made available in this area. Thus, in this review, the authors have focused o...
Artificial Intelligence Drug Discovery Drug Development Humans
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AI for drug discovery is advancing rapidly: We need smart biology for it to fulfill its mission.

Drug discovery today Oct 8, 2021
Drug Development Probability Needs Assessment Computer Simulation Drug Discovery Translational Science, Biomedical Natural History Humans Artificial Intelligence Forecasting
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Artificial intelligence-enhanced drug design and development: Toward a computational precision medicine.

Drug discovery today Sep 20, 2021
Artificial Intelligence (AI) relies upon a convergence of technologies with further synergies with life science technologies to capture the value of massive multi-modal data in the form of predictive models supporting decision-making. AI and machine ...
Precision Medicine Humans Drug Design Artificial Intelligence Drug Development Medical Informatics Decision Support Techniques Biomedical Technology Drug Evaluation
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Comprehensive Survey of Recent Drug Discovery Using Deep Learning.

International journal of molecular sciences Sep 15, 2021
Drug discovery based on artificial intelligence has been in the spotlight recently as it significantly reduces the time and cost required for developing novel drugs. With the advancement of deep learning (DL) technology and the growth of drug-related...
Neural Networks, Computer Animals Drug Design Drug Discovery Deep Learning Surveys and Questionnaires Humans Drug Development Pharmaceutical Preparations
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Prediction of Drug-Target Interactions by Combining Dual-Tree Complex Wavelet Transform with Ensemble Learning Method.

Molecules (Basel, Switzerland) Sep 3, 2021
Identification of drug-target interactions (DTIs) is vital for drug discovery. However, traditional biological approaches have some unavoidable shortcomings, such as being time consuming and expensive. Therefore, there is an urgent need to develop no...
Receptors, Cytoplasmic and Nuclear Enzymes Ion Channels Databases, Protein Drug Development Receptors, G-Protein-Coupled Wavelet Analysis Support Vector Machine
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LUNAR :Drug Screening for Novel Coronavirus Based on Representation Learning Graph Convolutional Network.

IEEE/ACM transactions on computational biology and bioinformatics Aug 6, 2021
An outbreak of COVID-19 that began in late 2019 was caused by a novel coronavirus(SARS-CoV-2). It has become a global pandemic. As of June 9, 2020, it has infected nearly 7 million people and killed more than 400,000, but there is no specific drug. T...
Host Microbial Interactions Antiviral Agents Computational Biology COVID-19 Drug Treatment Drug Development Pandemics Databases, Pharmaceutical Drug Repositioning COVID-19 Drug Evaluation, Preclinical SARS-CoV-2 Humans Nonlinear Dynamics Neural Networks, Computer
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KenDTI: An Ensemble Model for Predicting Drug-Target Interaction by Integrating Multi-Source Information.

IEEE/ACM transactions on computational biology and bioinformatics Aug 6, 2021
The identification of drug-target interactions (DTIs) is an essential step in the process of drug discovery. As experimental validation suffers from high cost and low success rate, various computational models have been exploited to infer potential D...
Pharmaceutical Preparations Databases, Pharmaceutical Humans Databases, Protein Natural Language Processing Neural Networks, Computer Computational Biology Software Drug Development Algorithms Proteins Computer Simulation
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