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Computational modelling of proteins has been a major catalyst in structural biology. Bioinformatics groups have exploited the repositories of known structures to predict high-quality structural models with high efficiency at low cost. This article provides an overview of comparative modelling, reviews recent developments and describes resources dedicated to large-scale comparative modelling of genome sequences. The value of subclustering protein domain superfamilies to guide the template-selection process is investigated. Some recent cases in which structural modelling has aided experimental work to determine very large macromolecular complexes are also cited.

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This paper reviewed some of the recent developments in computational structural modelling field.

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This page is a summary of: An overview of comparative modelling and resources dedicated to large-scale modelling of genome sequences, Acta Crystallographica Section D Structural Biology, July 2017, International Union of Crystallography,
DOI: 10.1107/s2059798317008920.
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