In drug discovery and development, the direct target identification of bioactive small molecules plays a significant role for understanding the mechanism of action, predicting the side effects, and rationally designing more potent compounds. However, due to the complicated regulatory processes in a cell together with thousands of biomacromolecules, target identification is always the major obstacle. New methods and technologies are continuously invented to tackle this problem. Nevertheless, the mainly used tools possess several disadvantages. High synthetic skills are typically required to laboriously synthesize a probe for protein enrichment. To detect the ligand-protein interaction by analyzing proteins' responses to proteolytic or thermal treatment, costly and precise instruments are always necessary. Therefore, convenient and practical techniques are urgently needed. Over the past decades, a strategy using native compounds without the requirement of chemical modification, also termed Native-compound-Coupled Affinity Matrix (NCAM), is developing continuously. Two practical tactics based on "label-free" compounds have been invented and used, that is Photo-cross-linked Small-molecule Affinity Matrix (PSAM) and Native-compound-Coupled CNBr-activated Beads (NCCB). Presently, we will elucidate the characteristics, coupling mechanism, advantages and disadvantages, and future prospect of NCAM in specific target identification and validation.
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http://dx.doi.org/10.1016/j.bioorg.2023.106828 | DOI Listing |
Cancer Cell Int
January 2025
State Key Laboratory of Medical Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing Institute of Lifeomics, Beijing, People's Republic of China.
Background: The aim of this study was to establish a primary mouse gastric carcinoma cell line.
Methods: Gastric adenocarcinoma in the body region was induced in immunocompetent BALB/c mice using N-Methyl-N-nitrosourea and a 2% NaCl solution. Fresh gastric cancer tissue samples were cultured in 1640 medium supplemented with 10% fetal bovine serum for primary culture and subculture.
BMC Bioinformatics
January 2025
School of Information and Artificial Intelligence, Anhui Agricultural University, Changjiang West Road, Hefei, 230036, Anhui, China.
Drug-target interactions (DTIs) are pivotal in drug discovery and development, and their accurate identification can significantly expedite the process. Numerous DTI prediction methods have emerged, yet many fail to fully harness the feature information of drugs and targets or address the issue of feature redundancy. We aim to refine DTI prediction accuracy by eliminating redundant features and capitalizing on the node topological structure to enhance feature extraction.
View Article and Find Full Text PDFBMJ Open
January 2025
Univ. Lille, Inserm, CHU Lille, U1286 - INFINITE - Institute for Translational Research in Inflammation, F-59000, Lille.
Introduction: The project, funded by the Agence Nationale de la Recherche, aims to evaluate the long-term outcomes of patients with oesophageal atresia (OA) between 13 and 14 years old and establish multiomics profiles using data from the world's biggest OA registry.
Methods And Analysis: is a national multicentre population-based cohort study recruiting participants from all qualified French centres for OA surgery at birth. The primary objective is to assess the prevalence of gastro-oesophageal reflux disease in adolescence among patients with OA, with several secondary objectives including the identification of risk factors and multiomic profiles from oesophageal biopsies and blood samples collected between 13 and 14 years old, compared with a control group.
BMJ Open
January 2025
Department of Intensive Care and Neonatology and Children's Research Center, University of Zurich, University Children's Hospital Zürich, Zurich, Zurich, Switzerland.
Introduction: Digital trials are a promising strategy to increase the evidence base for common interventions and may convey considerable efficiency benefits in trial conduct. Although paediatric intensive care units (PICUs) are rich in routine electronic data, highly pragmatic digital trials in this field remain scarce. There are unmet evidence needs for optimal mechanical ventilation modes in paediatric intensive care.
View Article and Find Full Text PDFJ Infect Chemother
January 2025
Department of Clinical Laboratory, Second Affiliated Hospital of Guangxi Medical University, Nanning 530007, People's Republic of China. Electronic address:
Background: The precise identification of pathogens responsible for community-acquired pneumonia (CAP) in children is essential for effective treatment. However, the performance of targeted next-generation sequencing (tNGS) in the detection of pathogens associated with CAP in children remains unclear.
Methods: In this study, 216 children diagnosed with CAP were enrolled, and bronchoalveolar lavage fluid (BALF) samples underwent detection through tNGS, culture, and multiplex quantitative polymerase chain reaction (qPCR).
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