Results 61 to 70 of about 888,632 (296)
Drug repurposing and prediction of multiple interaction types via graph embedding
BMC Bioinformatics, 2023 Background Finding drugs that can interact with a specific target to induce a desired therapeutic outcome is key deliverable in drug discovery for targeted treatment.
E. Amiri Souri +3 more
doaj +1 more source
Frontiers in Aging Neuroscience, 2022 Alzheimer's disease (AD) is one of the most common neurodegenerative diseases. To identify AD-related genes from transcriptomics and help to develop new drugs to treat AD.
Liang-Yong Xia +3 more
doaj +1 more source
Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Objective To compare the efficacy and safety of roxarestat versus recombinant human erythropoietin (rhEPO) in the management of renal anemia in patients undergoing maintenance hemodialysis. Methods This was a prospective, open‐label, randomized controlled trial.
Lingling Chen, Junjie Zhu, Qiaonan Ge
wiley +1 more source
Potential drug interactions : exposure and management in hospital and ambulatory settings [PDF]
, 2006 Health care professionals are responsible to ensure safe dispensing and use of drug regimens involving the use of drug combinations that may interact and cause serious adverse events.
Indermitte, Jörg Lorenz
core +1 more source
Protein-protein interaction modulator drug discovery
, 2022 S.1393-1404Introduction: Historically, small-molecule drug discovery projects have largely focused on the G-protein-coupled receptor, ion-channel and enzyme target classes.
Hadian, K., Gul, S.
core +1 more source
Identification of sitagliptin binding proteins by affinity purification mass spectrometry
Acta Biochimica et Biophysica Sinica, 2022 Type 2 diabetes mellitus (T2DM) is recognized as a serious public health concern with increasing incidence. The dipeptidyl peptidase-4 (DPP-4) inhibitor sitagliptin has been used for the treatment of T2DM worldwide.
Wang Xue-Ning +12 more
doaj +1 more source
Autoencoders for Drug-Target Interaction Prediction [PDF]
, 2020 Abstract Background: Because it is so laborious and expensive to experimentally identify Drug-Target Interactions (DTIs), only a few DTIs have been verified. Computational methods are useful for identifying DTIs in biological studies of drug discovery and development.
Ming Chen, Xiuze Zhou
openaire +1 more source
FEBS Letters, EarlyView.Enteropathogenic E. coli (EPEC) infects the human intestinal epithelium, resulting in severe illness and diarrhoea. In this study, we compared the infection of cancer‐derived cell lines with human organoid‐derived models of the small intestine. We observed a delayed in attachment, inflammation and cell death on primary cells, indicating that host ...
Mastura Neyazi +5 more
wiley +1 more source
Computational and Structural Biotechnology Journal, 2020 Drug repositioning aims to find new indications for existing drugs in order to reduce drug development cost and time. Currently,there are numerous stories of successful drug repositioning that have been reported and many repurposed drugs are already ...
Daniele Parisi +5 more
doaj +1 more source
Frontiers in Genetics, 2023 Introduction: Drug-target interaction (DTI) prediction is a key step in drug function discovery and repositioning. The emergence of large-scale heterogeneous biological networks provides an opportunity to identify drug-related target genes, which led to ...
Jianwei Li +5 more
doaj +1 more source