Mathematical Techniques Inspired By Concept Of Darwinian Evolution Over Reducing Risk Of Multi Drug Resistance Bacteria

Mathematical Techniques Inspired By Concept Of Darwinian Evolution Over Reducing Risk Of Multi Drug Resistance Bacteria

Overview

  • Post By : Microbioz India
  • Source:
  • Date: 14 October, 2015

Researcher from H. Lee Moffitt Cancer Center & Research Institute developed a mathematical system inspired by concept of Darwinian evolution which helps in reducing the risk of multi drug resistance bacteria. The concern study was published online in PLoS Computational Biology .

Researcher finds, fighting of E.coli bacterium with antibiotics either best promoted or hindered depending upon present of antibiotic sequence given. According to researcher about 70 % of different sequence of antibiotics develops resistance to final drug.

According to researcher:

"Our results suggest that, through careful ordering of antibiotics, we may be able to steer evolution to a dead end from which resistance cannot emerge," said Daniel Nichol, lead author and graduate student jointly in the Oxford University Department of Computer Science and Moffitt's Department of Integrated Mathematical Oncology.

"Our results can be easily tested in the laboratory, and if validated could be used in clinical trials immediately, as all of the compounds we studied are FDA approved and commonly prescribed," said Jacob G. Scott, M.D., senior author and member of Moffitt's Radiation Oncology and Integrated Mathematical Oncology Departments.

Note : The above story is only for information purpose for more information go through original story source.

Story source: H. Lee Moffitt Cancer Center & Research Institute

Journal Reference:

Daniel Nichol, Peter Jeavons, Alexander G. Fletcher, Robert A. Bonomo, Philip K. Maini, Jerome L. Paul, Robert A. Gatenby, Alexander R.A. Anderson, Jacob G. Scott. Steering Evolution with Sequential Therapy to Prevent the Emergence of Bacterial Antibiotic Resistance. PLOS Computational Biology, 2015; 11 (9): e1004493 DOI: 10.1371/journal.pcbi.1004493

About Author