Journal article
Sphinx: Merging knowledge-based and ab initio approaches to improve protein loop prediction
- Abstract:
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Motivation: Loops are often vital for protein function, however their irregular structures make them difficult to model accurately. Current loop modelling algorithms can mostly be divided into two categories: knowledge-based, where databases of fragments are searched to find suitable conformations; and ab initio, where conformations are generated computationally. Existing knowledge-based methods only use fragments that are the same length as the target, even though loops of s... Expand abstract
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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- Files:
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(Version of record, pdf, 819.8KB)
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- Publisher copy:
- 10.1093/bioinformatics/btw823
Authors
Funding
Roche
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UCB Pharma Ltd
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Bibliographic Details
- Publisher:
- Oxford University Press Publisher's website
- Journal:
- Bioinformatics Journal website
- Volume:
- 33
- Issue:
- 9
- Pages:
- 1346-1353
- Publication date:
- 2017-01-01
- Acceptance date:
- 2016-12-23
- DOI:
- EISSN:
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1460-2059
- ISSN:
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1367-4803
Item Description
- Pubs id:
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pubs:668684
- UUID:
-
uuid:063180cb-8b37-4b6f-be78-e33906887f13
- Local pid:
- pubs:668684
- Source identifiers:
-
668684
- Deposit date:
- 2017-01-09
Terms of use
- Copyright holder:
- Marks et al
- Copyright date:
- 2017
- Notes:
-
Copyright © 2017 The Author. Published by Oxford University Press.
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
- Licence:
- CC Attribution (CC BY)
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