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Updated: Feb 15, 2026

A Protocol for Computer-Based Protein Structure and Function Prediction
Published on: November 3, 2011
Prediction of structural consequences for disease causing variants in C21orf2 protein using computational approaches
Shalini Iyer1, K Ravi Acharya1, Vasanta Subramanian1
1a Department of Biology and Biochemistry , University of Bath , Bath BA2 7AY , UK.
Abstract:
Amyotrophic lateral sclerosis (ALS), a progressive motor-neurone disease, affects individuals usually aged between 50 and 70 years. C21orf2, recently identified as the new ALS susceptibility gene, harbours rare missense mutations that cause this fatal disease. We used bioinformatics and molecular modelling approaches to study specific ALS-associated mutations in C21orf2. Both native and mutant structures of the protein obtained from homology modelling were analysed in detail to gain insights into the potential impact of these mutations on the protein structure and its function. Our analyses reveal that more than 75% of the mutations are likely to be deleterious. These effects seem to carry through to mouse C21orf2 as well, indicating that mouse would make a viable animal model to study this ALS gene in detail.
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