An integrated web-based system to provide appropriate linker candidates for constructing fusion proteins. SynLinker consists of 2150 natural linker sequences derived from PDB database and about 110 empirical linkers from public domain. Multiple query interface allows users to search for the desired linker candidates based on selection criteria and their preferences. In addition, a selected linker can be combined with two domain structures which are uploaded and appended at its N and C terminals, thereby predicting a de novo structure of the fusion protein. Hence, SynLinker can serve as a systematic tool for researchers who are interested in designing synthetic fusion proteins.
Bioprocessing Technology Institute, Agency for Science Technology and Research (A*STAR), Singapore, Singapore; Department of Chemical and Biomolecular Engineering, National University of Singapore, Singapore, Singapore