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Centre for Computational Biology



Vladimir Espinosa Angarica

Visiting Research Fellow

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Contact: 66017093

The focus of Vladimir's research is Brugada Syndrome and Sudden Death. He uses integrative bioinformatics analyses of clinical and multi-omics data for the identification of genetic determinants, pathways and biomarker signatures underlying Brugada Syndrome and related cardiovascular disorders.
  1. Angarica, V.E., and del Sol, A. (2017). Bioinformatics tools for Genome Wide Epigenetic Research. In Delgado Morales, R. (Ed.), Neuroepigenomics in Aging and Disease. Adv. Exp. Med. Biol. (Springer). 978:489-512, ISBN: 978-3-319-53888-4. doi: 10.1007/978-3-319-53889-1_25. PMID: 28523562
  2. Angarica, V.E., and del Sol, A. (2016). Modeling Heterogeneity in the Pluripotent State: a promising strategy for improving the efficiency and fidelity of stem cell differentiation. BioEssays. 38(8): 758–68. doi: 10.1002/bies.201600103. PMID: 27321053
  3. Angarica, V.E., Orozco, M. and Sancho, J. (2016). Exploring the complete mutational space of the LDL receptor LA5 domain using molecular dynamics: linking SNPs with abnormal phenotypes in Familial hypercholesterolemia. Hum. Mol. Gen. 25(6): 1233–46. doi: 10.1093/hmg/ddw004. PMID: 26755827
  4.  Zickenrott, S., Angarica, V.E., Upadhyahya, B.B., and del Sol, A. (2016). Prediction of disease-gene-drug relationships following a differential network analysis. Cell Death Dis. 7(1):e2040. doi: 10.1038/cddis.2015.393. PMID: 26775695
  5.  Angarica, V.E., Ventura, S. and Sancho, J. (2013). Discovering putative prion sequences in complete proteomes using probabilistic representations of Q/N-rich domains. BMC Genomics. 14: 316. doi: 10.1186/1471-2164-14-316. PMID: 23663289
  6. Angarica, V.E. and Sancho, J. (2012). Protein dynamics governed by interfaces of high polarity and low packing density. (2012). PLoS ONE. 7(10): e48212. doi: 10.1371/journal.pone.0048212. PMID: 23110216