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Article A General Computational Approach for Repeat Protein Design Fabio Parmeggiani 1, 5, † , Po-Ssu Huang 1, 5, † , Sergey Vorobiev 2 , Rong Xiao 3, 4 ,
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Document Date: 2015-05-16 05:37:05


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Life Technologies / Agilent Technologies / Integrated DNA Technologies Inc. / Sigma-Aldrich / Qiagen / HPLC LC / Elsevier Ltd. / HP / Wyatt Technologies / GE Healthcare / /

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Howard Hughes Medical Institute / Columbia University / University of Washington / State University of New Jersey / /

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low-energy backbones / overall energy / ion metal affinity chromatography purification / energy penalty / minimal media / nanotechnology applications / buried hydrogen bond networks / lowest energy / energy / lowest-energy models / energy function / lowest-energy model / repeat protein design protocol / low-energy / chemical / ion metal affinity chromatography / search space / low energy design / /

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Rutgers / Department of Molecular Biology and Biochemistry / Institute for Protein Design / Department of Biological Sciences / State University of New Jersey / Columbia University / New York / Center for Advanced Biotechnology and Medicine / Department of Biochemistry / Robert Wood Johnson Medical School / University of Washington / Seattle / Howard Hughes Medical Institute / /

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Rosetta Scripts / Rong Xiao / Computational Approach / Min Su / David Baker / Robert Wood Johnson / Aviv Biomedical / Fabio Parmeggiani / Silvia Caprari / Sergey Vorobiev / Haleema Janjua / John Hunt / Lei Mao / /

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Genomics / X-ray / two-step protocol / Biotechnology / cloning / repeat protein design protocol / laser / biomaterials / design protocol / Crystallization / dialysis / /

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