AIMC Topic: Drug Delivery Systems

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A machine learning-based chemoproteomic approach to identify drug targets and binding sites in complex proteomes.

Nature communications Aug 21, 2020
Chemoproteomics is a key technology to characterize the mode of action of drugs, as it directly identifies the protein targets of bioactive compounds and aids in the development of optimized small-molecule compounds. Current approaches cannot identif...
Proteomics Proteome Mass Spectrometry Cell Survival Drug Discovery Protein Binding Computational Biology Proteolysis Binding Sites Phosphotransferases Botrytis Ligands HeLa Cells Saccharomyces cerevisiae Machine Learning Drug Delivery Systems Humans
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Development of a prediction model for hypotension after induction of anesthesia using machine learning.

PloS one Apr 16, 2020
Arterial hypotension during the early phase of anesthesia can lead to adverse outcomes such as a prolonged postoperative stay or even death. Predicting hypotension during anesthesia induction is complicated by its diverse causes. We investigated the ...
Middle Aged Risk Assessment Monitoring, Intraoperative ROC Curve Adult Drug Delivery Systems Male Hypotension Cholecystectomy, Laparoscopic Arterial Pressure Models, Cardiovascular Anesthesia, General Bayes Theorem Feasibility Studies Humans Neural Networks, Computer Machine Learning Female Aged Retrospective Studies Electronic Health Records Anesthetics Intubation, Intratracheal
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Machine learning models for drug-target interactions: current knowledge and future directions.

Drug discovery today Mar 12, 2020
Predicting the binding affinity between compounds and proteins with reasonable accuracy is crucial in drug discovery. Computational prediction of binding affinity between compounds and targets greatly enhances the probability of finding lead compound...
Computational Biology Drug Development Proteins Machine Learning Ligands Drug Discovery Humans Drug Delivery Systems Deep Learning
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A Bayesian machine learning approach for drug target identification using diverse data types.

Nature communications Nov 19, 2019
Drug target identification is a crucial step in development, yet is also among the most complex. To address this, we develop BANDIT, a Bayesian machine-learning approach that integrates multiple data types to predict drug binding targets. Integrating...
Neoplasms Drug Discovery Antineoplastic Agents Drug Repositioning Bayes Theorem Machine Learning Humans Drug Delivery Systems
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Multifunctional Nanorobot System for Active Therapeutic Delivery and Synergistic Chemo-photothermal Therapy.

Nano letters Nov 11, 2019
Nanorobots are safe and exhibit powerful functionalities, including delivery, therapy, and diagnosis. Therefore, they are in high demand for the development of new cancer therapies. Although many studies have contributed to the progressive developmen...
Nanostructures Phototherapy Hyperthermia, Induced Neoplasms Cell Line, Tumor Robotics Humans Drug Delivery Systems
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Micro-nanorobots: important considerations when developing novel drug delivery platforms.

Expert opinion on drug delivery Oct 14, 2019
: There is growing emphasis on the development of bioinspired and biohybrid micro/nanorobots for the targeted drug delivery (TDD). Particularly, stimuli-responsive materials and magnetically triggered systems, identified as the most promising materia...
Nanotechnology Humans Drug Delivery Systems Robotics
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A Human Microrobot Interface Based on Acoustic Manipulation.

ACS nano Aug 21, 2019
Micro/nanorobotic systems capable of targeted transporting and releasing hold considerable promise for drug delivery, cellular surgery, biosensing, nano assembling, . However, on-demand precise control of the micro/nanorobot movement remains a major ...
Robotics Acoustics Humans Drug Delivery Systems
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Integrating Artificial Intelligence and Nanotechnology for Precision Cancer Medicine.

Advanced materials (Deerfield Beach, Fla.) Jul 9, 2019
Artificial intelligence (AI) and nanotechnology are two fields that are instrumental in realizing the goal of precision medicine-tailoring the best treatment for each cancer patient. Recent conversion between these two fields is enabling better patie...
Nanostructures Nanotechnology Nanomedicine Drug Delivery Systems Animals Humans Neoplasms Artificial Intelligence Computational Biology Precision Medicine
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An Intelligent DNA Nanorobot with Enhanced Protein Lysosomal Degradation of HER2.

Nano letters Jun 5, 2019
DNA nanorobots have emerged as new tools for nanomedicine with the potential to ameliorate the delivery and anticancer efficacy of various drugs. DNA nanostructures have been considered one of the most promising nanocarriers. In the present study, we...
Aptamers, Nucleotide Mice Mice, Nude MCF-7 Cells Xenograft Model Antitumor Assays Humans Robotics Breast Neoplasms Receptor, ErbB-2 DNA Female Drug Delivery Systems Proteolysis Animals Lysosomes Endocytosis
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THPep: A machine learning-based approach for predicting tumor homing peptides.

Computational biology and chemistry May 24, 2019
In the present era, a major drawback of current anti-cancer drugs is the lack of satisfactory specificity towards tumor cells. Despite the presence of several therapies against cancer, tumor homing peptides are gaining importance as therapeutic agent...
Decision Trees Neoplasms Databases, Protein Neural Networks, Computer Amino Acid Sequence Internet Peptides Machine Learning Quantitative Structure-Activity Relationship ROC Curve Drug Delivery Systems
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