Computational Prediction of Ligands with Multiple Protein Targets Involved in Type II Diabetes
Author:
Publisher
Springer Singapore
Link
http://link.springer.com/content/pdf/10.1007/978-981-10-6653-5_10
Reference19 articles.
1. Emig D, Ivliev A, Pustovalova O, Lancashire L, Bureeva S, Nikolsky Y, Bessarabova M (2013) Drug target prediction and repositioning using an integrated network-based approach PloS one 8:e60618. doi: 10.1371/journal.pone.0060618
2. Kalyani D, Muppalaneni NB, Ambedkar C, Reddi KK (2016) Identification of drug targets from integrated database of diabetes mellitus genes using protein-protein interactions. Application of computational intelligence to biology. Springer, pp 83–86
3. Prabhanjan M, Suresh RV, Murthy MN, Ramachandra NB (2016) Type 2 diabetes mellitus disease risk genes identified by genome wide copy number variation scan in normal populations. Diabetes Res Clin Pract 113:160–170
4. Tang X et al (2016) Predicting diabetes mellitus genes via protein-protein interaction and protein subcellular localization information BMC genomics 17:433
5. Davies JL et al (1994) A genome-wide search for human type 1 diabetes susceptibility genes. Nature 371:130–136. doi: 10.1038/371130a0
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