Correctly identifying candidate drugs for protein targets is crucial for drug discovery. Despite the importance of this problem for the pharmaceutical industry, chemical screening remains a challenging task, and drug-target misidentification may contribute to failures in drug development. In their recent study, Sauer and colleagues (Holbrook-Smith et al, 2022) demonstrate proof-of-concept for a new way to identify drug-target interactions using high-throughput metabolomics, potentially paving the way towards a universal method for predicting drug-target relationships.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8864441 | PMC |
| http://dx.doi.org/10.15252/msb.202210914 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
6-Aza-2-Thiothymine as an Alternative Matrix for Spatial Proteomics with MALDI-MSI.
Int J Mol Sci
December 2024
Proteomics and Metabolomics Unit, Department of Medicine and Surgery, University of Milano-Bicocca, 20900 Monza, Italy.
Matrix Assisted Laser Desorption/Ionisation-Mass Spectrometry Imaging (MALDI-MSI) is a well-established spatial omic technique which enables the untargeted mapping of various classes of biomolecules, including tryptic peptides, directly on tissue. This method relies on the use of matrices for the ionisation and volatilisation of analytes, and α-Cyano-4-hydroxycinnamic acid (CHCA) represents the most widespread matrix for tryptic peptides analysis. However, CHCA also presents certain limitations that foster the quest for novel matrix compounds.
View Article and Find Full Text PDFMetabolomics and proteomics: synergistic tools for understanding snake venom inhibition.
Arch Toxicol
January 2025
Department of Integrative Biology, School of Bioscience and Technology, Vellore Institute of Technology (VIT), Vellore, 632014, Tamil Nadu, India.
Article Synopsis
- Snake envenomation is a major global health issue, particularly in rural areas of tropical and subtropical regions, highlighting the need for better therapeutic approaches.
- Traditional antivenoms have limitations, but advancements in omics technologies like metabolomics and proteomics are improving our understanding of venom and potential treatments.
- By exploring metabolic changes and identifying venom proteins, researchers aim to develop novel inhibitors and next-generation antivenoms, ultimately leading to more effective treatments for snake bites.
Classical prescription Daqinjiao decoction inhibit cerebral ischemia/reperfusion induced necroptosis and ferroptosis through multiple mechanisms.
J Ethnopharmacol
December 2024
Xi'an Key Laboratory of Stem Cell and Regenerative Medicine, Institute of Medical Research, Northwestern Polytechnical University, 127 West Youyi Road, Xi'an, Shaanxi, 710072, China. Electronic address:
Article Synopsis
- The Daqinjiao decoction (DQJT) has a long history of use in stroke treatment, but its mechanisms remained largely unknown before this study.
- The study aimed to explore how DQJT alleviates brain injury caused by cerebral ischemia/reperfusion by using methods like HPLC for component analysis and MCAO/R models for efficacy testing.
- Results indicated that DQJT effectively reduces brain damage and improves metabolic pathways, focusing on lipid metabolism and specific signaling pathways, ultimately revealing its role in inhibiting cell death processes through the modulation of several key pathways.
Serum metabolomics and lipoproteomics discriminate celiac disease and non-celiac gluten sensitivity patients.
Clin Nutr
December 2024
Department of Experimental and Clinical Biomedical Sciences, University of Florence, Italy. Electronic address:
Background&aims: Celiac disease (CD) and potential CD (pCD) are immune-mediated disorders triggered by the ingestion of gluten. In non-celiac gluten sensitivity (NCGS) neither allergic nor autoimmune mechanisms are involved. Relationships between NCGS and CD need to be further investigated.
View Article and Find Full Text PDFUncovering metabolic dysregulation in schizophrenia and cannabis use disorder through untargeted plasma lipidomics.
Sci Rep
December 2024
Department of Pharmacology, University of the Basque Country, UPV/EHU, Sarriena S/N, 48940, Leioa, Bizkaia, Spain.
Cannabis use disorder affects up to 42% of individuals with schizophrenia, correlating with earlier onset, increased positive symptoms, and more frequent hospitalizations. This study employed an untargeted lipidomics approach to identify biomarkers in plasma samples from subjects with schizophrenia, cannabis use disorder, or both (dual diagnosis), aiming to elucidate the metabolic underpinnings of cannabis abuse and schizophrenia development. The use of liquid chromatography-high resolution mass spectrometry enabled the annotation of 119 metabolites, with the highest identification confidence level achieved for 16 compounds.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!