ArticleInternational journal of molecular sciences2014
iNR-Drug: predicting the interaction of drugs with nuclear receptors in cellular networking.
Article in International journal of molecular sciences, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed, 76 citations in OpenAlex.
- MOZART, a QSAR Multi-Target Web-Based Tool to Predict Multiple Drug-Enzyme Interactions.Molecules (Basel, Switzerland) · 2023Article
- A proteome-wide systems toxicological approach deciphers the interaction network of chemotherapeutic drugs in the cardiovascular milieu.RSC advances · 2018Article
- Heterodimer Binding Scaffolds Recognition via the Analysis of Kinetically Hot Residues.Pharmaceuticals (Basel, Switzerland) · 2018Article
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- iRNA-PseColl: Identifying the Occurrence Sites of Different RNA Modifications by Incorporating Collective Effects of Nucleotides into PseKNC.Molecular therapy. Nucleic acids · 2017Article
- Pse-Analysis: a python package for DNA/RNA and protein/ peptide sequence analysis based on pseudo components and kernel methods.Oncotarget · 2017Article
- DrugECs: An Ensemble System with Feature Subspaces for Accurate Drug-Target Interaction Prediction.BioMed research international · 2017Article
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- Predicting DNA Methylation State of CpG Dinucleotide Using Genome Topological Features and Deep Networks.Scientific reports · 2016Article
- Protein Sub-Nuclear Localization Based on Effective Fusion Representations and Dimension Reduction Algorithm LDA.International journal of molecular sciences · 2015Article
- Large-scale Direct Targeting for Drug Repositioning and Discovery.Scientific reports · 2015Article
- A high performance prediction of HPV genotypes by Chaos game representation and singular value decomposition.BMC bioinformatics · 2015Article
- Consensus models for CDK5 inhibitors in silico and their application to inhibitor discovery.Molecular diversity · 2015Article
- Identification of real microRNA precursors with a pseudo structure status composition approach.PloS one · 2015Article
- 3D QSAR studies, pharmacophore modeling and virtual screening on a series of steroidal aromatase inhibitors.International journal of molecular sciences · 2014Article
- Molecular science for drug development and biomedicine.International journal of molecular sciences · 2014Article
- iHyd-PseAAC: predicting hydroxyproline and hydroxylysine in proteins by incorporating dipeptide position-specific propensity into pseudo amino acid composition.International journal of molecular sciences · 2014Article
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- iNitro-Tyr: prediction of nitrotyrosine sites in proteins with general pseudo amino acid composition.PloS one · 2014Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Nuclear receptors (NRs) are closely associated with various major diseases such as cancer, diabetes, inflammatory disease, and osteoporosis. Therefore, NRs have become a frequent target for drug development. During the process of developing drugs against these diseases by targeting NRs, we are often facing a problem: Given a NR and chemical compound, can we identify whether they are really in interaction with each other in a cell? To address this problem, a predictor called "iNR-Drug" was developed. In the predictor, the drug compound concerned was formulated by a 256-D (dimensional) vector derived from its molecular fingerprint, and the NR by a 500-D vector formed by incorporating its sequential evolution information and physicochemical features into the general form of pseudo amino acid composition, and the prediction engine was operated by the SVM (support vector machine) algorithm. Compared with the existing prediction methods in this area, iNR-Drug not only can yield a higher success rate, but is also featured by a user-friendly web-server established at http://www.jci-bioinfo.cn/iNR-Drug/, which is particularly useful for most experimental scientists to obtain their desired data in a timely manner. It is anticipated that the iNR-Drug server may become a useful high throughput tool for both basic research and drug development, and that the current approach may be easily extended to study the interactions of drug with other targets as well.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.