Although experimental protein-structure determination usually targets known proteins, chains of unknown sequence are often encountered. They can be purified from natural sources, appear as an unexpected fragment of a well characterized protein or appear as a contaminant. Regardless of the source of the problem, the unknown protein always requires characterization. Here, an automated pipeline is presented for the identification of protein sequences from cryo-EM reconstructions and crystallographic data. The method's application to characterize the crystal structure of an unknown protein purified from a snake venom is presented. It is also shown that the approach can be successfully applied to the identification of protein sequences and validation of sequence assignments in cryo-EM protein structures.
|Number of pages||12|
|State||Published - 1 Jan 2022|
Bibliographical noteFunding Information:
This work was partially supported by the Biotechnology and Biological Sciences Research Council (BB/S007105/1).
- neural networks
- protein sequences
- protein structures
- structure determination