Big-data approaches to protein structure prediction.

Söding, J.

doi:10.1126/science.aal4512

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Big-data approaches to protein structure prediction.

Söding, J. (2017). Big-data approaches to protein structure prediction. Science, 355(6322), 248-249. doi:10.1126/science.aal4512.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-002C-4348-0 Version Permalink: https://hdl.handle.net/21.11116/0000-0001-4F73-6

Genre: Journal Article

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Söding, J.¹, Author

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1Research Group of Computational Biology, MPI for Biophysical Chemistry, Max Planck Society, ou_1933286

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Language(s): eng - English

Dates: Published Online: 2017-01-18Date issued: 2017-01-20

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Rev. Type: Peer

Identifiers: DOI: 10.1126/science.aal4512

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Title: Science

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Pages: - Volume / Issue: 355 (6322) Sequence Number: - Start / End Page: 248 - 249 Identifier: -