SynLinker: an integrated system for designing linkers and synthetic fusion proteins
Author(s) -
Chengcheng Liu,
Ju Xin Chin,
DongYup Lee
Publication year - 2015
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btv447
Subject(s) - linker , computer science , domain (mathematical analysis) , fusion protein , fusion , upload , computational biology , set (abstract data type) , sensor fusion , protein domain , data mining , artificial intelligence , chemistry , biology , biochemistry , gene , programming language , world wide web , mathematics , mathematical analysis , linguistics , philosophy , recombinant dna
Synthetic fusion proteins have shown great potential in various biotechnological and (bio)pharmaceutical applications. They usually contain more than two protein domains joined by a linker peptide sequence which is often selected intuitively or in ad hoc manner. Thus, we developed an integrated web-based system, SynLinker, to provide appropriate linker candidates for constructing fusion proteins. We compiled a total of 2260 linker sequences comprising of natural linkers extracted from a set of non-redundant multi-domain proteins in Protein Data Bank and artificial/empirical linkers collected from literature and patents. 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.
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