AIMC Topic: Molecular Targeted Therapy
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Use of artificial intelligence to enhance phenotypic drug discovery.
Drug discovery today
Jan 20, 2021
Research and development (R&D) productivity across the pharmaceutical industry has received close scrutiny over the past two decades, especially taking into consideration reports of attrition rates and the colossal cost for drug development. The resp...
Strategies for Testing Intervention Matching Schemes in Cancer.
Clinical pharmacology and therapeutics
Jul 24, 2020
Personalized medicine, or the tailoring of health interventions to an individual's nuanced and often unique genetic, biochemical, physiological, behavioral, and/or exposure profile, is seen by many as a biological necessity given the great heterogene...
Automated design and optimization of multitarget schizophrenia drug candidates by deep learning.
European journal of medicinal chemistry
Jul 12, 2020
Complex neuropsychiatric diseases such as schizophrenia require drugs that can target multiple G protein-coupled receptors (GPCRs) to modulate complex neuropsychiatric functions. Here, we report an automated system comprising a deep recurrent neural ...
Computational inference of cancer-specific vulnerabilities in clinical samples.
Genome biology
Jun 29, 2020
BACKGROUND: Systematic in vitro loss-of-function screens provide valuable resources that can facilitate the discovery of drugs targeting cancer vulnerabilities.
Insight into potent leads for alzheimer's disease by using several artificial intelligence algorithms.
Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie
Jun 16, 2020
Several proteins including S-nitrosoglutathione reductase (GSNOR), complement Factor D, complement 3b (C3b) and Protein Kinase R-like Endoplasmic Reticulum Kinase (PERK), have been demonstrated to be involved in pathogenesis pathways for Alzheimer's ...
Molecular Docking Simulation
Computer-Aided Design
Drug Design
Drug Discovery
Artificial Intelligence
Brain
Animals
Molecular Dynamics Simulation
Alzheimer Disease
Molecular Targeted Therapy
Quantitative Structure-Activity Relationship
Plant Extracts
Cognition
Signal Transduction
Molecular Structure
Humans
Nootropic Agents
Beyond the limitation of targeted therapy: Improve the application of targeted drugs combining genomic data with machine learning.
Pharmacological research
May 28, 2020
Precision oncology involves effectively selecting drugs for cancer patients and planning an effective treatment regimen. However, for Molecular targeted drug, using genomic state of the drug target to select drugs has limitations. Many patients who c...
Antineoplastic Agents
Pharmacogenetics
Cell Line, Tumor
Genomics
Gene Expression Regulation, Neoplastic
Signal Transduction
Databases, Genetic
Drug Screening Assays, Antitumor
Models, Statistical
Precision Medicine
Molecular Targeted Therapy
Humans
Clinical Decision-Making
Biomarkers, Tumor
Machine Learning
Neoplasms
Decision Support Techniques
The emerging roles of artificial intelligence in cancer drug development and precision therapy.
Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie
May 20, 2020
Artificial intelligence (AI) has strong logical reasoning ability and independent learning ability, which can simulate the thinking process of the human brain. AI technologies such as machine learning can profoundly optimize the existing mode of anti...
Similarity-Based Methods and Machine Learning Approaches for Target Prediction in Early Drug Discovery: Performance and Scope.
International journal of molecular sciences
May 19, 2020
Computational methods for predicting the macromolecular targets of drugs and drug-like compounds have evolved as a key technology in drug discovery. However, the established validation protocols leave several key questions regarding the performance a...
Combination Strategies for Immune-Checkpoint Blockade and Response Prediction by Artificial Intelligence.
International journal of molecular sciences
Apr 19, 2020
The therapeutic concept of unleashing a pre-existing immune response against the tumor by the application of immune-checkpoint inhibitors (ICI) has resulted in long-term survival in advanced cancer patient subgroups. However, the majority of patients...
Identification of herbal categories active in pain disorder subtypes by machine learning help reveal novel molecular mechanisms of algesia.
Pharmacological research
Apr 8, 2020
Chronic pain is highly prevalent and poorly controlled, of which the accurate underlying mechanisms need be further elucidated. Herbal drugs have been widely used for controlling various pain disorders. The systematic integration of pain herbal data ...
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