Network pharmacology, a promising approach to reveal the pharmacology mechanism of Chinese medicine formula
L Zhao, H Zhang, N Li, J Chen, H Xu, Y Wang… - Journal of …, 2023 - Elsevier
Ethnopharmacological relevance Network pharmacology is a new discipline based on
systems biology theory, biological system network analysis, and multi-target drug molecule …
systems biology theory, biological system network analysis, and multi-target drug molecule …
Network pharmacology prediction and molecular docking-based strategy to explore the potential mechanism of Huanglian Jiedu Decoction against sepsis
X Li, S Wei, S Niu, X Ma, H Li, M **g, Y Zhao - Computers in biology and …, 2022 - Elsevier
Abstract Background Huanglian Jiedu Decoction (HLJDD) is a classical herbal formula with
potential efficacy in the treatment of sepsis. However, the main components and potential …
potential efficacy in the treatment of sepsis. However, the main components and potential …
Graph neural networks: foundation, frontiers and applications
The field of graph neural networks (GNNs) has seen rapid and incredible strides over the
recent years. Graph neural networks, also known as deep learning on graphs, graph …
recent years. Graph neural networks, also known as deep learning on graphs, graph …
Building a knowledge graph to enable precision medicine
Develo** personalized diagnostic strategies and targeted treatments requires a deep
understanding of disease biology and the ability to dissect the relationship between …
understanding of disease biology and the ability to dissect the relationship between …
In silico methods and tools for drug discovery
In the past, conventional drug discovery strategies have been successfully employed to
develop new drugs, but the process from lead identification to clinical trials takes more than …
develop new drugs, but the process from lead identification to clinical trials takes more than …
webTWAS: a resource for disease candidate susceptibility genes identified by transcriptome-wide association study
The development of transcriptome-wide association studies (TWAS) has enabled
researchers to better identify and interpret causal genes in many diseases. However, there …
researchers to better identify and interpret causal genes in many diseases. However, there …
UniProt: the universal protein knowledgebase in 2021
Nucleic acids research, 2021 - academic.oup.com
The aim of the UniProt Knowledgebase is to provide users with a comprehensive, high-
quality and freely accessible set of protein sequences annotated with functional information …
quality and freely accessible set of protein sequences annotated with functional information …
A knowledge graph to interpret clinical proteomics data
Implementing precision medicine hinges on the integration of omics data, such as
proteomics, into the clinical decision-making process, but the quantity and diversity of …
proteomics, into the clinical decision-making process, but the quantity and diversity of …
Ensembl 2021
Abstract The Ensembl project (https://www. ensembl. org) annotates genomes and
disseminates genomic data for vertebrate species. We create detailed and comprehensive …
disseminates genomic data for vertebrate species. We create detailed and comprehensive …
Open graph benchmark: Datasets for machine learning on graphs
Abstract We present the Open Graph Benchmark (OGB), a diverse set of challenging and
realistic benchmark datasets to facilitate scalable, robust, and reproducible graph machine …
realistic benchmark datasets to facilitate scalable, robust, and reproducible graph machine …