We built a bipartite graph composed of US Food and Drug Administration–approved drugs and proteins linked by drug–target binary associations. The resulting network connects most drugs into a highly interlinked giant component, with strong local clustering of drugs of similar types according to ...
drug–target binary associations. The resulting network connects most drugs into a highly interlinked giant component, with strong local clustering of drugs of similar types according to Anatomical Therapeutic Chemical classification. Topological analyses of this network quantitatively showed an overabundance ...
targetbinaryassociations.Theresultingnetworkconnectsmostdrugsintoahighlyinterlinkedgiantcomponent,withstronglocalclusteringofdrugsofsimilartypesaccordingtoAnatomicalTherapeuticChemicalclassification.Topologicalanalysesofthisnetworkquantitativelyshowedanoverabundanceof‘follow-on’drugs,thatis,drugsthattargetalreadytargetedproteins....
In recent years, various network-based methods have been developed based on heterogeneous biological networks to mine drug–target interactions and achieved promising results. For example, DTINet combines Random walk with restart (RWR) and diffusion component analysis (DCA) to learn low-dimensional ...
A new study has uncovered potential risks, including impaired fetal growth, associated with the use of both tetrahydrocannabinol (THC), the primary psychoactive component of cannabis, as well as CBD, during pregnancy. Categories:Drug Facts
18 Based on recent reports, Mpro is essential for viral assembly and maturation and, thus, is a vital drug target against SARS-CoV-2. RNA-dependent RNA polymerase (RdRp; nsp12) is a core component of the virus because it is used for genome replication and viral gene transcription.19 ...
(AP-MS) or literature-derived low-throughput experiments. In total, the established network consists of 351,444 PPIs among 17,706 distinct proteins (https://alzgps.lerner.ccf.org). The largest connected component (LCC) was extract using the igraph v1.5.0, including 336,549 PPIs covering 17...
Concurrently, network representation learning D jeddi et al. BMC Bioinformatics (2023) 24:488 Page 5 of 42 methods have emerged as a vital component in this endeavor. These methods can be broadly classified into three categories: matrix factorization-based, random walk-based, and neural ...
Ligand detection is an essential component of pre-clinical drug development. Here, the authors develop an assay directly coupling protein ligand binding to the luminescence intensity of NanoLuc luciferase; enabling a compound discovery strategy for a broad spectrum of potential drug targets. Daniel A....
Identification of primary targets associated with phenotypes can facilitate exploration of the underlying molecular mechanisms of compounds and optimization of the structures of promising drugs. However, the literature reports limited effort to identify