Debora Marks

Debora Marks
Alma mater Humboldt University
Scientific career
Institutions Harvard Medical School
Thesis  (2010)

Debora S. Marks is a researcher in computational biology and an Associate Professor of Systems Biology at Harvard Medical School.[1] Her research uses computational approaches to address a variety of biological problems.

She was one of the first to use computational approaches to predict the targets of microRNAs.[2] This work was performed before she submitted her PhD thesis in 2010.[3] She is best known for her work on protein structure prediction: her method, which draws on an approach from statistical physics, maximum entropy under constraint, uses correlations between the sequences of protein family members from multiple species to build models of protein structure from sequence alone.[4] This algorithm is available at evfold.org.

In 2016, she was awarded the Overton Prize by the International Society for Computational Biology.[5]

References

  1. ↑ "Debora S. Marks Lab". Retrieved 11 July 2016.
  2. ↑ Enright, AJ; John, B; Gaul, U; Tuschl, T; Sander, C; Marks, DS (2003). "MicroRNA targets in Drosophila". Genome Biol. 5 (1): R1. PMID 14709173.
  3. ↑ Fogg, Christiana N.; Kovats, Diane E. (5 July 2016). "2016 ISCB Overton Prize awarded to Debora Marks". F1000Research. 5: 1575. doi:10.12688/f1000research.9158.1.
  4. ↑ Hopf, TA; Colwell, LJ; Sheridan, R; Rost, B; Sander, C; Marks, DS (2012). "Three-dimensional structures of membrane proteins from genomic sequencing". Cell. 149 (7): 1607–21. doi:10.1016/j.cell.2012.04.012. PMID 22579045. Retrieved 27 June 2018.
  5. ↑ "Feb 17, 2016: ISCB Congratulates 2016 Award Winners, Soren Brunak, Debora Marks, Burkhard Rost, and Serafim Batzoglou". www.iscb.org. Retrieved 11 July 2016.


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