Literature DB >> 35482184

Site-wise Diversification of Combinatorial Libraries Using Insights from Structure-guided Stability Calculations.

Benedikt Dolgikh1,2, Daniel Woldring3,4.   

Abstract

Many auspicious clinical and industrial accomplishments have improved the human condition by means of protein engineering. Despite these achievements, our incomplete understanding of the sequence-structure-function relationship prevents rapid innovation. To tackle this problem, we must develop and integrate new and existing technologies. To date, directed evolution and rational design have dominated as protein engineering principles. Even so, prior to screening for novel or improved functions, a large collection of variants, within a protein library, exist along an ambiguous mutational terrain. Complicating things further, the choice of where to initialize investigation along a vast sequence space becomes even more difficult given that the majority of any sequence lacks function entirely. Unfortunately, even when considering functionally relevant positions, random substitutions can prove to be destabilizing, causing a hindrance to an otherwise function-inducing, stability-reliant folding process. To enhance productivity in the field, we seek to address this issue of destabilization, and subsequent disfunction, at protein-protein and protein-ligand interacting regions. Herein, the process of choosing amenable positions - and amino acids at those positions - allows for a refined, knowledge-based approach to combinatorial library design. Using structural data, we perform computational stability prediction with FoldX's PositionScan and Rosetta's ddG_monomer in tandem, allowing for the refinement of our thermodynamic stability data through the comparison of results. In turn, we provide a process for selecting in silico predicted mutually stabilizing positions and avoiding overly destabilizing ones that guides the site-wise diversification of combinatorial libraries.
© 2022. The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  Computational; Library design; Protein engineering; Site-wise diversification; Stability

Mesh:

Substances:

Year:  2022        PMID: 35482184     DOI: 10.1007/978-1-0716-2285-8_3

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  35 in total

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Authors:  Andrew Pohorille; Christopher Jarzynski; Christophe Chipot
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Review 2.  Lessons from the lysozyme of phage T4.

Authors:  Walter A Baase; Lijun Liu; Dale E Tronrud; Brian W Matthews
Journal:  Protein Sci       Date:  2010-04       Impact factor: 6.725

3.  Optimization of rotamers prior to template minimization improves stability predictions made by computational protein design.

Authors:  James A Davey; Roberto A Chica
Journal:  Protein Sci       Date:  2015-01-13       Impact factor: 6.725

4.  Assessing the performance of the MM/PBSA and MM/GBSA methods. 1. The accuracy of binding free energy calculations based on molecular dynamics simulations.

Authors:  Tingjun Hou; Junmei Wang; Youyong Li; Wei Wang
Journal:  J Chem Inf Model       Date:  2010-11-30       Impact factor: 4.956

5.  Simultaneous Optimization of Biomolecular Energy Functions on Features from Small Molecules and Macromolecules.

Authors:  Hahnbeom Park; Philip Bradley; Per Greisen; Yuan Liu; Vikram Khipple Mulligan; David E Kim; David Baker; Frank DiMaio
Journal:  J Chem Theory Comput       Date:  2016-11-07       Impact factor: 6.006

6.  Role of conformational sampling in computing mutation-induced changes in protein structure and stability.

Authors:  Elizabeth H Kellogg; Andrew Leaver-Fay; David Baker
Journal:  Proteins       Date:  2010-12-03

Review 7.  Modulation of allosteric coupling by mutations: from protein dynamics and packing to altered native ensembles and function.

Authors:  Athi N Naganathan
Journal:  Curr Opin Struct Biol       Date:  2018-09-28       Impact factor: 6.809

8.  FoldX 5.0: working with RNA, small molecules and a new graphical interface.

Authors:  Javier Delgado; Leandro G Radusky; Damiano Cianferoni; Luis Serrano
Journal:  Bioinformatics       Date:  2019-10-15       Impact factor: 6.937

9.  How protein stability and new functions trade off.

Authors:  Nobuhiko Tokuriki; Francois Stricher; Luis Serrano; Dan S Tawfik
Journal:  PLoS Comput Biol       Date:  2008-02-29       Impact factor: 4.475

Review 10.  FoldX as Protein Engineering Tool: Better Than Random Based Approaches?

Authors:  Oliver Buß; Jens Rudat; Katrin Ochsenreither
Journal:  Comput Struct Biotechnol J       Date:  2018-02-03       Impact factor: 7.271

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