Ana M Rojas

ORCID iD
https://orcid.org/0000-0003-0750-9099
  • Also known as
  • Show details Hide details
Ana Rojas-Mendoza,

Sources:
Ana M Rojas (2014-07-03)

Ana R

Sources:
Ana M Rojas (2016-07-17)

  • Keywords
  • Show details Hide details
Bioinformatics, Computational Biology, Evolution, Structure/Function prediction, structural Bioinformatics.

Sources:
Ana M Rojas (2013-10-04)

  • Other IDs
  • Show details Hide details
ResearcherID: D-5777-2011

Sources:
ResearcherID (2014-07-03)

Biography

Current PI of the Computational Biology and Bioinformatics Group, at CABD. Biologist by training, I specialized in Bioinformatics and Computational Biology via postdoctoral training in different labs in the US (R.F. Doolittle’s lab at UCSD as a NASA fellow recipient to conduct research on evolution, Adam Godzik’s lab in structural Bioinformatics). After almost 6 years of research abroad, I returned to Spain in 2003 to Alfonso Valencia’s lab at CNB-CSIC, being a recipient of a Marie Curie International Reintegration Grant. Our main interests deal with protein evolution (#ProtEvol) and its relationship with structure/function (#StruFunct) in the context of signaling pathways (#SigPath). To illustrate these concepts, we have for instance identified novel roles and residues involved in functional specificity for the RAS superfamily of proteins (Rojas et al, 2012, J. cell Biol. [PMID:22270915]), described the making-up of the human DNA Damage Response pathway (Arcas et al, Mol. Biol. Evol., 2014, [PMID: 24441036], and discovered a novel Mistmatch Repair pathway in prokaryotes (Castañeda et al, 2017, Nat. Comm [DOI:10.1038/ncomms14246]). In the same line we have collaborated extensively with experimental groups to describe the mitochondrial role of EXD2 (Silva et al, 2018, Nat. Cell Biol. [PMID: 29335528]) or analysed in detail the role of particular residues mutated in patient samples (Trsitan-Calvijo et al, 2016, Mov. Disords [PMID 27477325]). We are also interested on the large-scale integration (#Integration) of transcriptomics, genomics and epigenomics data to address hypothesis-driven biological problems, as well as biomedical questions of interest. To this purpose we have designed Bioinformatics tools (Andres-Leon, 2016, Sci. Rep. [PMID:27167008]) that have been applied to identify mRNA-miRNA signatures in tumors relevant to survival. The underlying concept is to use the "pair of molecules" (mRNA-miRNA) instead the single molecule (mRNA or miRNA) to indetify tumor-type specific pairs relevant to response to survival (Andres-Leon et al, 2017, Sci. Rep. [PMID: 28387377]). If you are interested in joining Rojas’ lab (http://www.idoproteins.com), please contact Ana at [email protected] or at [email protected]

Record last modified {{lastModifiedDate}}