Spin models inferred from patient-derived viral sequence data faithfully describe HIV fitness landscapes.

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Published in Phys Rev E Stat Nonlin Soft Matter Phys on December 04, 2013

Authors

Karthik Shekhar1, Claire F Ruberman2, Andrew L Ferguson3, John P Barton1, Mehran Kardar4, Arup K Chakraborty5

Author Affiliations

1: Department of Chemical Engineering, MIT, Cambridge, Massachusetts 02139, USA and Ragon Institute of MGH, MIT and Harvard, Boston, Massachusetts 02129, USA.
2: Department of Mathematics, Pomona College, Claremont, California 91711, USA.
3: Department of Materials Science and Engineering, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA.
4: Department of Physics, MIT, Cambridge, Massachusetts 02139, USA.
5: Department of Chemical Engineering, MIT, Cambridge, Massachusetts 02139, USA and Ragon Institute of MGH, MIT and Harvard, Boston, Massachusetts 02129, USA and Department of Physics, MIT, Cambridge, Massachusetts 02139, USA and Department of Chemistry, MIT, Cambridge, Massachusetts 02139, USA and Department of Biological Engineering, MIT, Cambridge, Massachusetts 02139, USA and Institute for Medical Engineering and Science, MIT, Cambridge, Massachusetts 02139, USA.

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