Artificial Intelligence Approach To Investigate the Longevity Drug.

08:00 EDT 14th August 2019 | BioPortfolio

Summary of "Artificial Intelligence Approach To Investigate the Longevity Drug."

Longevity is a very important and interesting topic, and has been demonstrated to be related to longevity. We combined network pharmacology, machine learning, deep learning, and molecular dynamics (MD) simulation to investigate potent lead drugs. Related protein insulin-like growth factor 1 receptor (IGF1R) and insulin receptor (IR) were docked with the traditional Chinese medicine (TCM) database to screen out several novel candidates. Besides, nine different machine learning algorithms were performed to build reliable and accurate predicted models. Moreover, we used the novel deep learning algorithm to build predicted models. All of these models obtained significant , which are all greater than 0.87 on the training set and higher than 0.88 for the test set, respectively. The long time 500 ns molecular dynamics simulation was also performed to verify protein-ligand properties and stability. Finally, we obtained , , and , which might be potent TCMs for two targets.


Journal Details

This article was published in the following journal.

Name: The journal of physical chemistry letters
ISSN: 1948-7185
Pages: 4947-4961


DeepDyve research library

PubMed Articles [21643 Associated PubMed Articles listed on BioPortfolio]

Artificial Intelligence in Dermatology-Where We Are and the Way to the Future: A Review.

Although artificial intelligence has been available for some time, it has garnered significant interest recently and has been popularized by major companies with its applications in image identificati...

An Open Science Approach to Artificial Intelligence in Healthcare.

Artificial Intelligence (AI) offers significant potential for improving healthcare. This paper discusses how an "open science" approach to AI tool development, data sharing, education, and research ca...

Artificial Intelligence: A Novel Approach for Drug Discovery.

Molecular dynamics (MD) simulations can mechanistically explain receptor function. However, the enormous data sets that they may imply can be a hurdle. Plante and colleagues (Molecules, 2019) recently...

Artificial Intelligence (AI) and Pharmacometrics: Time to Embrace, Capitalize and Advance?

Artificial intelligence (AI) has been described as the machine for the fourth industrial revolution. Without exception, AI is predicted to change the face of every industry. In the field of drug devel...

Concepts in U.S. Food and Drug Administration Regulation of Artificial Intelligence for Medical Imaging.

Although extensive attention has been focused on the enormous potential of artificial intelligence (AI) technology, a major question remains: how should this fundamentally new technology be regulated?...

Clinical Trials [6386 Associated Clinical Trials listed on BioPortfolio]

Tailored Drug Titration Through Artificial Intelligence

ARTERY is a randomized clinical trial that investigates the benefit of a predictive modeling artificial intelligence in improving the management of anti-hypertensive medication treatment.

Programming Cochlear Implant With Artificial Intelligence

This thesis project proposes to investigate the "state of the art" of the programming of the cochlear implant. In the center of audiophonologie Brussels, the classic 'manual programming' h...

Quality Improvement Intervention in Colonoscopy Using Artificial Intelligence

Quality measures in colonoscopy are important guides for improving the quality of patient care. But quality improvement intervention is not taking place, primarily because of the inconveni...

Validation of an Artificial Intelligence-based Algorithm for Skeletal Age Assessment

The purpose of this study is to understand the effects of using a Artificial Intelligence algorithm for skeletal age estimation as a computer-aided diagnosis (CADx) system. In this prospec...

Multi-center Database Registry to Study Thalamus Changes Using AI in MS

In this study the Investigator's propose to validate a newly developed approach, DeepGRAI (Deep Gray Rating via Artificial Intelligence), to simplify the calculation of thalamic atrophy in...

Medical and Biotech [MESH] Definitions

The study and implementation of techniques and methods for designing computer systems to perform functions normally associated with human intelligence, such as understanding language, learning, reasoning, problem solving, etc.

The ability to understand and manage emotions and to use emotional knowledge to enhance thought and deal effectively with tasks. Components of emotional intelligence include empathy, self-motivation, self-awareness, self-regulation, and social skill. Emotional intelligence is a measurement of one's ability to socialize or relate to others.

A type of ARTIFICIAL INTELLIGENCE that enable COMPUTERS to independently initiate and execute LEARNING when exposed to new data.

An integrated nano-scale approach to MEDICINE which involves concurrent diagnosis, drug delivery, therapy, and monitoring of therapeutic response.

The normal length of time of an organism's life.

Quick Search

DeepDyve research library

Relevant Topics

Drug Discovery
Clinical Approvals Clinical Trials Drug Approvals Drug Delivery Drug Discovery Generics Drugs Prescription Drugs In the fields of medicine, biotechnology and pharmacology, drug discovery is the process by which drugs are dis...

Within medicine, nutrition (the study of food and the effect of its components on the body) has many different roles. Appropriate nutrition can help prevent certain diseases, or treat others. In critically ill patients, artificial feeding by tubes need t...

Searches Linking to this Article