Drug Target Network
A bipartite graph composed of approved drugs and proteins. These drugs and proteins are connected by a drug-target binary association.
A strategy used to identify new indications (also known as drug repositioning, reconfiguration, or task reassignment) for approved or under investigation (including clinical failure) drugs that have not been initially approved or dedicated.
Represents a group of nodes (ie, proteins or genes) whose perturbation can be related to the phenotype of a specific disease (such as COVID-19).
An interdisciplinary, applying the principles of systems biology and data science techniques to pharmacology.
Human Interaction Group
A collection of physical protein-protein interactions (interactors) in human cells.
The discipline aims to use systems biology and network science methods to redefine diseases and treatment methods from a comprehensive perspective, and provide important applications for drug design.
Node or vertex
The basic unit of graphics. Nodes are usually visualized as circles (or other shapes), representing basic entities such as drugs and proteins.
Edge or link
The basic unit of a graph connecting two nodes. Edges are usually visualized as lines (with arrows if there are arrows), and edges represent relationships between nodes (for example, protein interactions).
- Cheng Fang
- Desai RJ
- Convenient DE
Artificial Intelligence (AI)
Research on construction machines or programs that exhibit human intelligence when completing specific or general tasks.
Machine learning algorithm
A subset of AI algorithms that can be learned from data, so clear instructions on how to perform certain tasks are no longer needed.
Deep neural network
A general term referring to multilayer neural networks.
Convolutional Neural Network
The neural network architecture designed for analyzing image data usually includes a multi-layer convolutional layer and a pooling layer.
Graph represents learning
A specific deep learning technology developed for learning the feature representation of graph structure data.
Visible neural network
The new generation of visible methods aims to guide the structure of machine learning models through an increasingly broad understanding of biological mechanisms.