Objective. To study the pharmacological mechanisms of Siwu decoction (SWD) on primary dysmenorrhea (PDM) and verify with molecular docking. Methods. The Traditional Chinese Medicine Systems Pharmacology Database Analysis Platform (TCMSP) was utilized to acquire active compounds their corresponding target genes. GeneCards database in search for genes that were associated PDM. intersection from S...

The c-Myc (MYC) transcription factor is a major cancer driver and a well-validated therapeutic target. However, directly targeting MYC has been challenging. Thus, identifying proteins that interact with and regulate MYC may provide alternative strategies to inhibit its oncogenic activity. In this study, we report the development of a NanoLuc-based protein-fragment complementation assay (NanoPCA...

The analysis and application of the evolutionary information, as measured by means of the conservation of protein sequences, using protein-protein interaction (PPI) networks, has become one of the central research areas in systems biology from the last decade. It provides a promising approach for better understanding the evolution of living systems, for inferring relevant biological information...

The reconstruction of protein-protein interaction (PPI) networks from high-throughput experimental data is one of the most challenging problems in bioinformatics. These biological networks have specific topologies defined by the functional and evolutionary relationships between the proteins and the physical limitations imposed on proteins interacting in the three-dimensional space. In this pape...

Protein complex formed by a group of physical interacting proteins plays a crucial role in cell activities. Great effort has been made to computationally identify protein complexes from protein-protein interaction (PPI) network. However, the accuracy of the prediction is still far from being satisfactory, because the topological structures of protein complexes in the PPI network are too complic...

Protein complexes play a vital role in living organisms as they regulate and execute biological processes. As experimental methods of extracting protein complexes are fraught with difficulties, scientists look towards protein complex prediction. However, protein-protein interaction (PPI) data which are used to predict protein complexes are often noisy and incomplete. As published literature may...

Automatic extraction of protein-protein interaction (PPI) information from scientific literature is important for building PPI databases, studying biological networks and discovering new biological knowledge through automatic hypothesis generation. In this paper, we present a new method for PPI extraction based on a mixture of logistic models. The method automatically clusters interaction words...

We study the question of detecting Conserved Protein Interaction Modules (CPIMs) in two protein-protein interaction (PPI) networks. A CPIM contains a pair of groups of interacting proteins, one in each PPI network, that share a high degree of evolutionary conservation. We propose a novel algorithm called GraphHopper that analyzes two PPI networks to find CPIMs. GraphHopper keeps the two PPI net...