Knowledge of the three-dimensional structure of a protein often gives a basis for understanding its function. The gap between numbers of known protein sequences and structures has been dramatically increasing as a huge number of sequences have being generated by new sequencing technologies. One important way to bridge this gap is computational prediction. Compared to experimental approaches, the computational prediction approach is cost-effective and efficient, and has become more and more important in studying protein structures.
With supporting text below as a natural lead-in to additional content.Coming soon