AIMC Topic: Drug Development

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A Convolutional Neural Network System to Discriminate Drug-Target Interactions.

IEEE/ACM transactions on computational biology and bioinformatics Aug 6, 2021
Biological targets are most commonly proteins such as enzymes, ion channels, and receptors. They are anything within a living organism to bind with some other entities (like an endogenous ligand or a drug), resulting in change in their behaviors or f...
Computational Biology Drug Development Proteins Pharmaceutical Preparations Neural Networks, Computer Algorithms Drug Discovery Deep Learning
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Artificial intelligence-driven phenotyping of zebrafish psychoactive drug responses.

Progress in neuro-psychopharmacology & biological psychiatry Jul 25, 2021
Zebrafish (Danio rerio) are rapidly emerging in biomedicine as promising tools for disease modelling and drug discovery. The use of zebrafish for neuroscience research is also growing rapidly, necessitating novel reliable and unbiased methods of neur...
Psychotropic Drugs Neural Networks, Computer Artificial Intelligence Disease Models, Animal Animals Zebrafish Algorithms Drug Discovery Datasets as Topic Drug Development Locomotion
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Logistic matrix factorisation and generative adversarial neural network-based method for predicting drug-target interactions.

Molecular diversity Jul 23, 2021
Identifying drug-target protein association pairs is a prerequisite and a crucial task in drug discovery and development. Numerous computational models, based on different assumptions and algorithms, have been proposed as an alternative to the labori...
Models, Molecular Ligands Binding Sites Deep Learning Protein Binding Databases, Factual Models, Theoretical Biomarkers Drug Development Humans Drug Discovery Neural Networks, Computer Algorithms
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Future of machine learning in paediatrics.

Archives of disease in childhood Jul 22, 2021
Machine learning (ML) is a branch of artificial intelligence (AI) that enables computers to learn without being explicitly programmed, through a combination of statistics and computer science. It encompasses a variety of techniques used to analyse an...
Humans Artificial Intelligence Machine Learning Forecasting Computers Delivery of Health Care Child Drug Development Workforce Pediatrics Precision Medicine State Medicine Male Clinical Decision-Making Risk Assessment Female Infant Adolescent
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Recent trends in artificial intelligence-driven identification and development of anti-neurodegenerative therapeutic agents.

Molecular diversity Jul 19, 2021
Neurological disorders affect various aspects of life. Finding drugs for the central nervous system is a very challenging and complex task due to the involvement of the blood-brain barrier, P-glycoprotein, and the drug's high attrition rates. The ava...
Deep Learning Big Data Drug Development Drug Repositioning Databases, Factual Drug Design Drug Discovery Models, Molecular Neurodegenerative Diseases Ligands Quantitative Structure-Activity Relationship Humans Artificial Intelligence Machine Learning Algorithms
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AI in drug development: a multidisciplinary perspective.

Molecular diversity Jul 12, 2021
The introduction of a new drug to the commercial market follows a complex and long process that typically spans over several years and entails large monetary costs due to a high attrition rate. Because of this, there is an urgent need to improve this...
Humans Artificial Intelligence Machine Learning Algorithms Cheminformatics Structure-Activity Relationship Models, Molecular Molecular Structure Bayes Theorem Drug Design Deep Learning Drug Development
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Artificial intelligence and the future of life sciences.

Drug discovery today Jul 8, 2021
Over the past few decades, the number of health and 'omics-related data' generated and stored has grown exponentially. Patient information can be collected in real time and explored using various artificial intelligence (AI) tools in clinical trials;...
Pharmacology Clinical Trials as Topic Biotechnology Biological Science Disciplines Drug Development Natural Language Processing Publishing Humans Electronic Health Records Artificial Intelligence Drug Design Data Science Mobile Applications
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AI-based language models powering drug discovery and development.

Drug discovery today Jun 30, 2021
The discovery and development of new medicines is expensive, time-consuming, and often inefficient, with many failures along the way. Powered by artificial intelligence (AI), language models (LMs) have changed the landscape of natural language proces...
Humans Artificial Intelligence SARS-CoV-2 Drug Discovery Pharmacovigilance Drug Development Natural Language Processing COVID-19 Drug Treatment
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Convolutional neural networks (CNNs): concepts and applications in pharmacogenomics.

Molecular diversity May 24, 2021
Convolutional neural networks (CNNs) have been used to extract information from various datasets of different dimensions. This approach has led to accurate interpretations in several subfields of biological research, like pharmacogenomics, addressing...
DNA Drug Interactions RNA Precision Medicine Binding Sites Neural Networks, Computer Regulatory Sequences, Nucleic Acid Pharmacogenetics Artificial Intelligence Polymorphism, Single Nucleotide Data Analysis Drug Development
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Machine learning directed drug formulation development.

Advanced drug delivery reviews May 19, 2021
Machine learning (ML) has enabled ground-breaking advances in the healthcare and pharmaceutical sectors, from improvements in cancer diagnosis, to the identification of novel drugs and drug targets as well as protein structure prediction. Drug formul...
Drug Compounding Drug Delivery Systems Humans Animals Machine Learning Drug Development
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