ArticleNucleic acids research2009
SePreSA: a server for the prediction of populations susceptible to serious adverse drug reactions implementing the methodology of a chemical-protein interactome.
Article in Nucleic acids research, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.
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Who cites it
26 citing papers in PubMed.
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- Schizandrin A induces non-small cell lung cancer apoptosis by suppressing the epidermal growth factor receptor activation.Cancer medicine · 2024Article
- In silico analysis of SARS-CoV-2 proteins as targets for clinically available drugs.Scientific reports · 2022Article
- The Use of AlphaFold forFrontiers in cellular and infection microbiology · 2022Article
- Study on the Characteristics of Small-Molecule Kinase Inhibitors-Related Drug-Induced Liver Injury.Frontiers in pharmacology · 2022Article
- Broad-Spectrum Profiling of Drug Safety via Learning Complex Network.Clinical pharmacology and therapeutics · 2020Article
- Improving inverse docking target identification with Z-score selection.Chemical biology & drug design · 2019Article
- Docking-based inverse virtual screening: methods, applications, and challenges.Biophysics reports · 2018Review
- DPDR-CPI, a server that predicts Drug Positioning and Drug Repositioning via Chemical-Protein Interactome.Scientific reports · 2016Article
- Hypothyroidism Side Effect in Patients Treated with Sunitinib or Sorafenib: Clinical and Structural Analyses.PloS one · 2016Article
- Targets of drugs are generally, and targets of drugs having side effects are specifically good spreaders of human interactome perturbations.Scientific reports · 2015Article
- Plumbagin elicits differential proteomic responses mainly involving cell cycle, apoptosis, autophagy, and epithelial-to-mesenchymal transition pathways in human prostate cancer PC-3 and DU145 cells.Drug design, development and therapy · 2015Article
- A bioinformatic and mechanistic study elicits the antifibrotic effect of ursolic acid through the attenuation of oxidative stress with the involvement of ERK, PI3K/Akt, and p38 MAPK signaling pathways in human hepatic stellate cells and rat liver.Drug design, development and therapy · 2015Article
- Historeceptomic Fingerprints for Drug-Like Compounds.Frontiers in physiology · 2015Article
- DDI-CPI, a server that predicts drug-drug interactions through implementing the chemical-protein interactome.Nucleic acids research · 2014Article
- Xyloketal B, a marine compound, acts on a network of molecular proteins and regulates the activity and expression of rat cytochrome P450 3a: a bioinformatic and animal study.Drug design, development and therapy · 2014Article
- Plumbagin induces the apoptosis of human tongue carcinoma cells through the mitochondria-mediated pathway.Medical science monitor basic research · 2013Article
- Structure and dynamics of molecular networks: a novel paradigm of drug discovery: a comprehensive review.Pharmacology & therapeutics · 2013Review
- Prediction of drug-target interactions for drug repositioning only based on genomic expression similarity.PLoS computational biology · 2013Article
- idTarget: a web server for identifying protein targets of small chemical molecules with robust scoring functions and a divide-and-conquer docking approach.Nucleic acids research · 2012Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Serious adverse drug reactions (SADRs) are caused by unexpected drug-human protein interactions, and some polymorphisms within binding pockets make the population carrying these polymorphisms susceptible to SADR. Predicting which populations are likely to be susceptible to SADR will not only strengthen drug safety, but will also assist enterprises to adjust R&D and marketing strategies. Making such predictions has recently been facilitated by the introduction of a web server named SePreSA. The server has a comprehensive collection of the structural models of nearly all the well known SADR targets. Once a drug molecule is submitted, the scale of its potential interaction with multi-SADR targets is calculated using the DOCK program. The server utilizes a 2-directional Z-transformation scoring algorithm, which computes the relative drug-protein interaction strength based on the docking-score matrix of a chemical-protein interactome, thus achieve greater accuracy in prioritizing SADR targets than simply using dock scoring functions. The server also suggests the binding pattern of the lowest docking score through 3D visualization, by highlighting and visualizing amino acid residues involved in the binding on the customer's browser. Polymorphism information for different populations for each of the interactive residues will be displayed, helping users to deduce the population-specific susceptibility of their drug molecule. The server is freely available at http://SePreSA.Bio-X.cn/.
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