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Sequence Assignment for Low-resolution Modelling of Protein Crystal Structures

Overview
Specialty Biochemistry
Date 2019 Aug 3
PMID 31373574
Citations 14
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Abstract

The performance of automated model building in crystal structure determination usually decreases with the resolution of the experimental data, and may result in fragmented models and incorrect side-chain assignment. Presented here are new methods for machine-learning-based docking of main-chain fragments to the sequence and for their sequence-independent connection using a dedicated library of protein fragments. The combined use of these new methods noticeably increases sequence coverage and reduces fragmentation of the protein models automatically built with ARP/wARP.

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