Development of a deep learning-based computational framework that predicts interactions for drug-drug or drug-food constituent pairs
A Korean research team from KAIST developed a computational framework, DeepDDI, that accurately predicts and generates 86 types of drug-drug and drug-food interactions as outputs of human-readable sentences, which allows in-depth understanding of the drug-drug and drug-food interactions.
Drug interactions, including drug-drug interactions (DDIs) and drug-food constituent interactions (DFIs), can trigger unexpected pharmacological effects, including adverse drug events (ADEs), with causal mechanisms often unknown. However, current prediction methods do not provide sufficient details beyond the chance of DDI occurrence, or require detailed drug information often unavailable for DDI prediction.
To tackle this problem, Dr. Jae Yong Ryu, Assistant Professor Hyun Uk Kim and Distinguished Professor Sang Yup Lee, all from the Department of Chemical and Biomolecular Engineering at Korea Advanced Institute of Science and Technology (KAIST), developed a computational framework, named DeepDDI, that accurately predicts 86 DDI types for a given drug pair. The research results were published online in Proceedings of the National Academy of Sciences of the United States of America (PNAS) on April 16, 2018, which is entitled “Deep learning improves prediction of drug-drug and drug-food interactions.”
DeepDDI takes structural information and names of two drugs in pair as inputs, and predicts relevant DDI types for the input drug pair. DeepDDI uses deep neural network to predict 86 DDI types with a mean accuracy of 92.4% using the DrugBank gold standard DDI dataset covering 192,284 DDIs contributed by 191,878 drug pairs. Very importantly, DDI types predicted by DeepDDI are generated in the form of human-readable sentences as outputs, which describe changes in pharmacological effects and/or the risk of ADEs as a result of the interaction between two drugs in pair. For example, DeepDDI output sentences describing potential interactions between oxycodone (opioid pain medication) and atazanavir (antiretroviral medication) were generated as follows: “The metabolism of Oxycodone can be decreased when combined with Atazanavir”; and “The risk or severity of adverse effects can be increased when Oxycodone is combined with Atazanavir”. By doing this, DeepDDI can provide more specific information on drug interactions beyond the occurrence chance of DDIs or ADEs typically reported to date.
DeepDDI was first used to predict DDI types of 2,329,561 drug pairs from all possible combinations of 2,159 approved drugs, from which DDI types of 487,632 drug pairs were newly predicted. Also, DeepDDI can be used to suggest which drug or food to avoid during medication in order to minimize the chance of adverse drug events or optimize the drug efficacy. To this end, DeepDDI was used to suggest potential causal mechanisms for the reported ADEs of 9,284 drug pairs, and also predict alternative drug candidates for 62,707 drug pairs having negative health effects to keep only the beneficial effects. Furthermore, DeepDDI was applied to 3,288,157 drug-food constituent pairs (2,159 approved drugs and 1,523 well-characterized food constituents) to predict DFIs. The effects of 256 food constituents on pharmacological effects of interacting drugs and bioactivities of 149 food constituents were also finally predicted. All these prediction results can be useful if an individual is taking medications for a specific (chronic) disease such as hypertension or diabetes mellitus type 2.
Distinguished Professor Sang Yup Lee said, “We have developed a platform technology DeepDDI that will allow precision medicine in the era of Fourth Industrial Revolution. DeepDDI can serve to provide important information on drug prescription and dietary suggestions while taking certain drugs to maximize health benefits and ultimately help maintain a healthy life in this aging society.”
The Latest on: Drug-drug or drug-food interactions
via Google News
The Latest on: Drug-drug or drug-food interactions
- Union govt urged to take urgent measures to implement PPR 2015 just as D&C Act and Pharmacy Act on February 14, 2019 at 6:31 pm
They should also be made capable in finding out drug-drug interactions, drug-allergy interactions, drug-disease interactions and drug food interactions. They can understand the incorrect dosage and th... […]
- Drug Interactions: Keeping Track on February 11, 2019 at 3:31 pm
One drug may interact with another drug or several drugs, also termed a drug-drug interaction. Some drugs will interact with foods (drug-food interaction) while other drugs may interact with a patient ... […]
- Drug Interaction Checker on January 1, 2019 at 10:29 am
Most commonly there are three types of drug interactions: Drug-drug interaction: When the reaction occurs ... This can be dangerous when you are driving a car. Drug-food interaction:The drug reacts wi... […]
- Possible drug-drug interactions with vitamins on October 5, 2018 at 6:15 pm
Many drug-drug interactions and drug-food interactions are minimal or are of little or no consequence. New interactions are being discovered through clinical observations and clinical investigations. ... […]
- Possible drug-drug and drug- food interactions in every day life on September 14, 2018 at 8:13 pm
When we take a drug we expect it to cause an effect. This effect can be altered by the presence of another drug. This is called drug-drug interaction. Drug effect can also be altered by the presence o... […]
- Deep learning predicts drug-drug and drug-food interactions on April 18, 2018 at 6:34 am
Figure 1. Overall scheme of Deep DDDI and prediction of food constituents that reduce the in vivo concentration of approved drugs. Credit: Korea Advanced Institute of Science and Technology Drug inter... […]
- Understanding Drug Interactions on April 17, 2018 at 12:41 pm
A drug interaction is a reaction between two (or more) drugs (called a drug-drug interaction) or between a drug and a food or beverage (called a drug-food interaction). An existing medical condition c... […]
- What are you having for dinner? Your pharmacist wants to know on August 5, 2015 at 3:05 am
Your pharmacist has reviewed medications for drug-drug interactions, but is most likely not aware of an individual’s particular diet and may not know which drug-food interactions would apply. Your pha... […]
- STURDY MEMORIAL HOSPITAL OFFERS MEDICAL PROFILE CARDS on April 29, 2015 at 5:27 am
This post was contributed by a community member. Sturdy Memorial Hospital is offering "My Medical Profile" cards to the community. This initiative assists the Hospital in assessing a patient's medical ... […]
via Bing News