BracketMaker : Visualization and optimization of chemical protein synthesis

被引:0
作者
Evangelista, Judah L. [1 ]
Kay, Michael S. [1 ]
机构
[1] Univ Utah, Dept Biochem, Salt Lake City, UT 84112 USA
基金
美国国家卫生研究院;
关键词
chemical protein synthesis; E. coli ribosome; graphic design tools; native chemical ligation; !text type='Python']Python[!/text] tools; LIGATION; PEPTIDE; DESULFURIZATION; COMBINATION; CYSTEINE; LOOKING;
D O I
10.1002/pro.5174
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Chemical protein synthesis (CPS), in which custom peptide segments of similar to 20-60 aa are produced by solid-phase peptide synthesis and then stitched together through sequential ligation reactions, is an increasingly popular technique. The workflow of CPS is often depicted with a "bracket" style diagram detailing the starting segments and the order of all ligation, desulfurization, and/or deprotection steps to obtain the product protein. Brackets are invaluable tools for comparing multiple possible synthetic approaches and serve as blueprints throughout a synthesis. Drawing CPS brackets by hand or in standard graphics software, however, is a painstaking and error-prone process. Furthermore, the CPS field lacks a standard bracket format, making side-by-side comparisons difficult. To address these problems, we developed BracketMaker, an open-source Python program with built-in graphic user interface (GUI) for the rapid creation and analysis of CPS brackets. BracketMaker contains a custom graphics engine which converts a text string (a protein sequence annotated with reaction steps, introduced herein as a standardized format for brackets) into a high-quality vector or PNG image. To aid with new syntheses, BracketMaker's "AutoBracket" tool automatically performs retrosynthetic analysis on a set of segments to draft and rank all possible ligation orders using standard native chemical ligation, protection, and desulfurization techniques. AutoBracket, in conjunction with an improved version of our previously reported Automated Ligator (Aligator) program, provides a pipeline to rapidly develop synthesis plans for a given protein sequence. We demonstrate the application of both programs to develop a blueprint for 65 proteins of the minimal Escherichia coli ribosome.
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页数:15
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