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Ingemar André
Researcher at Lund University
Publications - 59
Citations - 3670
Ingemar André is an academic researcher from Lund University. The author has contributed to research in topics: Protein structure & Protein structure prediction. The author has an hindex of 26, co-authored 55 publications receiving 3188 citations. Previous affiliations of Ingemar André include University of Washington & University of Groningen.
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Computational design of self-assembling protein nanomaterials with atomic level accuracy
Neil P. King,William Sheffler,Michael R. Sawaya,Breanna S. Vollmar,John P. Sumida,Ingemar André,Tamir Gonen,Todd O. Yeates,David Baker +8 more
TL;DR: A general computational method is used for designing proteins that self-assemble to a desired symmetric architecture and can be used to design a wide variety of self-assembling protein nanomaterials.
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RosettaRemodel: A Generalized Framework for Flexible Backbone Protein Design
Po-Ssu Huang,Yih-En Andrew Ban,Florian Richter,Ingemar André,Robert B. Vernon,William R. Schief,David Baker +6 more
TL;DR: RosettaRemodel is described, a generalized framework for flexible protein design that provides a versatile and convenient interface to the Rosetta modeling suite that allows detailed control over many aspects of flexible backbone protein design calculations.
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Alternate States of Proteins Revealed by Detailed Energy Landscape Mapping
Michael D. Tyka,Daniel A. Keedy,Ingemar André,Frank DiMaio,Yifan Song,David S. Richardson,Jane S. Richardson,David Baker +7 more
TL;DR: In the absence of tightly associating binding partners or ligands, the lowest-energy Rosetta models were nearly all <2.5 Å C(α)RMSD from the experimental structure; this result demonstrates that structure prediction accuracy for globular proteins is limited mainly by the ability to sample close to the native structure.
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A vast repertoire of Dscam binding specificities arises from modular interactions of variable Ig domains.
TL;DR: This work develops a high-throughput ELISA-based binding assay and provides evidence that 95% (>18,000) of Dscam isoforms exhibit striking isoform-specific homophilic binding, thereby allowing neuronal processes to distinguish between self and nonself.
Journal ArticleDOI
Structure prediction for CASP7 targets using extensive all-atom refinement with Rosetta@home.
Rhiju Das,Bin Qian,Srivatsan Raman,Robert B. Vernon,James Thompson,Philip Bradley,Sagar D. Khare,Michael D. Tyka,Divya Bhat,Dylan Chivian,David E. Kim,William Sheffler,Lars Malmström,Andrew M. Wollacott,Chu Wang,Ingemar André,David Baker +16 more
TL;DR: In this article, the authors describe predictions made using the Rosetta structure prediction methodology for both template-based modeling and free modeling categories in the Seventh Critical Assessment of Techniques for Protein Structure Prediction.