Protein-protein interactions (PPIs) are recognized as important targets in drug discovery. The characteristics of molecules that inhibit PPIs differ from those of small-molecule compounds. We developed a novel chemical library database system (DLiP) to design PPI inhibitors. A total of 32,647 PPI-related compounds are registered in the DLiP. It contains 15,214 newly synthesized compounds, with molecular weight ranging from 450 to 650, and 17,433 active and inactive compounds registered by extracting and integrating known compound data related to 105 PPI targets from public databases and published literature. Our analysis revealed that the compounds in this database contain unique chemical structures and have physicochemical properties suitable for binding to the protein-protein interface. In addition, advanced functions have been integrated with the web interface, which allows users to search for potential PPI inhibitor compounds based on types of protein-protein interfaces, filter results by drug-likeness indicators important for PPI targeting such as rule-of-4, and display known active and inactive compounds for each PPI target. The DLiP aids the search for new candidate molecules for PPI drug discovery and is available online (https://skb-insilico.com/dlip).
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http://dx.doi.org/10.3389/fchem.2022.1090643 | DOI Listing |
Virol J
December 2024
Institute of Comparative Medicine, College of Veterinary Medicine, Yangzhou University, Yangzhou, Jiangsu, 225009, China.
PEDV is a highly contagious enteric pathogen that can cause severe diarrhea and death in neonatal pigs. Despite extensive research, the molecular mechanisms of host's response to PEDV infection remain unclear. In this study, differentially expressed genes (DEGs), time-specific coexpression modules, and key regulatory genes associated with PEDV infection were identified.
View Article and Find Full Text PDFJ Ovarian Res
December 2024
TCM Gynecology Department, Hangzhou Hospital of Traditional Chinese Medicine, NO.453 Ti Yuchang Road, Hangzhou, 310007, Zhejiang, China.
Objective: He Shi Yu Lin Formula (HSYLF) is a clinically proven prescription for treating premature ovarian insufficiency (POI), and has shown a good curative effect. However, its molecular mechanisms are unclear. This study aimed to investigate the molecular mechanisms of HSYLF and clarify how network pharmacology analysis guides the design of animal experiments, including the selection of effective treatment doses and key targets, to ensure the relevance of the experimental results.
View Article and Find Full Text PDFSci Rep
December 2024
Zhejiang Provincial Key Laboratory of Pathophysiology, School of Medicine, Ningbo University, 818 Fenghua Road, Jiangbei District, Ningbo, China.
Alzheimer's disease (AD) is a neurodegenerative disorder characterized by limited effective treatments, underscoring the critical need for early detection and diagnosis to improve intervention outcomes. This study integrates various bioinformatics methodologies with interpretable machine learning to identify reliable biomarkers for AD diagnosis and treatment. By leveraging differentially expressed genes (DEGs) analysis, weighted gene co-expression network analysis (WGCNA), and construction of Protein-Protein Interaction (PPI) Networks, we meticulously analyzed the AD dataset from the GEO database to pinpoint Hub genes.
View Article and Find Full Text PDFSci Rep
December 2024
Department of Emergency, Henan Provincial People's Hospital, Zhengzhou, Henan, China.
There is growing evidence that programmed cell death plays a significant role in the pathogenesis of chronic thromboembolic pulmonary hypertension (CTEPH). Anoikis is a newly discovered type of programmed death and has garnered great attention. However, the precise involvement of Anoikis in the progression of CTEPH remains poorly understood.
View Article and Find Full Text PDFJ Cell Mol Med
December 2024
Department of Orthopedics, Shenshan Medical Center, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Shanwei, Guangdong, P. R. China.
Mitochondrial programmed cell death (PCD) plays a critical role in the pathogenesis of diabetic foot ulcers (DFU). In this study, we performed a comprehensive transcriptome analysis to identify potential hub genes and key cell types associated with PCD and mitochondria in DFU. Using intersection analysis of PCD- and mitochondria-related genes, we identified candidate hub genes through protein-protein interaction and random forest analysis.
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