Explicit 3D models can be obtained by comparative protein modelling, a mature and predictable technique, fragment assembly ab initio methods for smaller novel or unrecognisable folds and contact-based methods for large protein families. Each modelling method has limitations in model accuracy, which vary further according to the characteristics of the target: as a result, the performance of structure-based function prediction algorithms applied to models is variable. Nevertheless, with care, a wide variety of structure-based methods can be productively applied to protein models, frequently facilitating the planning and interpretation of experimental results. This chapter will first survey the literature on applicability of structure-based methods specifically to models, before discussing a selection of examples in more detail.
CITATION STYLE
Rigden, D. J., Cymerman, I. A., & Bujnicki, J. M. (2017). Prediction of protein function from theoretical models. In From Protein Structure to Function with Bioinformatics: Second Edition (pp. 467–498). Springer Netherlands. https://doi.org/10.1007/978-94-024-1069-3_15
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