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.
- 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
- 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
- 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
- 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
- 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
- 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