Literature DB >> 27018773

ScaffoldSeq: Software for characterization of directed evolution populations.

Daniel R Woldring1, Patrick V Holec1, Benjamin J Hackel1.   

Abstract

ScaffoldSeq is software designed for the numerous applications-including directed evolution analysis-in which a user generates a population of DNA sequences encoding for partially diverse proteins with related functions and would like to characterize the single site and pairwise amino acid frequencies across the population. A common scenario for enzyme maturation, antibody screening, and alternative scaffold engineering involves naïve and evolved populations that contain diversified regions, varying in both sequence and length, within a conserved framework. Analyzing the diversified regions of such populations is facilitated by high-throughput sequencing platforms; however, length variability within these regions (e.g., antibody CDRs) encumbers the alignment process. To overcome this challenge, the ScaffoldSeq algorithm takes advantage of conserved framework sequences to quickly identify diverse regions. Beyond this, unintended biases in sequence frequency are generated throughout the experimental workflow required to evolve and isolate clones of interest prior to DNA sequencing. ScaffoldSeq software uniquely handles this issue by providing tools to quantify and remove background sequences, cluster similar protein families, and dampen the impact of dominant clones. The software produces graphical and tabular summaries for each region of interest, allowing users to evaluate diversity in a site-specific manner as well as identify epistatic pairwise interactions. The code and detailed information are freely available at http://research.cems.umn.edu/hackel. Proteins 2016; 84:869-874.
© 2016 Wiley Periodicals, Inc. © 2016 Wiley Periodicals, Inc.

Entities:  

Keywords:  bioinformatics; epistasis; family clustering; high-throughput; sequence analysis; software

Mesh:

Substances:

Year:  2016        PMID: 27018773      PMCID: PMC5519505          DOI: 10.1002/prot.25040

Source DB:  PubMed          Journal:  Proteins        ISSN: 0887-3585


  45 in total

1.  Correlations among amino acid sites in bHLH protein domains: an information theoretic analysis.

Authors:  W R Atchley; K R Wollenberg; W M Fitch; W Terhalle; A W Dress
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2.  BLOSUM62 miscalculations improve search performance.

Authors:  Mark P Styczynski; Kyle L Jensen; Isidore Rigoutsos; Gregory Stephanopoulos
Journal:  Nat Biotechnol       Date:  2008-03       Impact factor: 54.908

3.  Picomolar affinity fibronectin domains engineered utilizing loop length diversity, recursive mutagenesis, and loop shuffling.

Authors:  Benjamin J Hackel; Atul Kapila; K Dane Wittrup
Journal:  J Mol Biol       Date:  2008-06-24       Impact factor: 5.469

4.  Correction for phylogeny, small number of observations and data redundancy improves the identification of coevolving amino acid pairs using mutual information.

Authors:  Cristina Marino Buslje; Javier Santos; Jose Maria Delfino; Morten Nielsen
Journal:  Bioinformatics       Date:  2009-03-10       Impact factor: 6.937

5.  Multiplexed massively parallel SELEX for characterization of human transcription factor binding specificities.

Authors:  Arttu Jolma; Teemu Kivioja; Jarkko Toivonen; Lu Cheng; Gonghong Wei; Martin Enge; Mikko Taipale; Juan M Vaquerizas; Jian Yan; Mikko J Sillanpää; Martin Bonke; Kimmo Palin; Shaheynoor Talukder; Timothy R Hughes; Nicholas M Luscombe; Esko Ukkonen; Jussi Taipale
Journal:  Genome Res       Date:  2010-04-08       Impact factor: 9.043

6.  Comprehensive interrogation of a minimalist synthetic CDR-H3 library and its ability to generate antibodies with therapeutic potential.

Authors:  Ciara M Mahon; Matthew A Lambert; Jacob Glanville; Jason M Wade; Brian J Fennell; Mark R Krebs; Douglas Armellino; Sharon Yang; Xuemei Liu; Cliona M O'Sullivan; Benedicte Autin; Katarzyna Oficjalska; Laird Bloom; Janet Paulsen; Davinder Gill; Marc Damelin; Orla Cunningham; William J J Finlay
Journal:  J Mol Biol       Date:  2013-02-19       Impact factor: 5.469

7.  Expressed murine and human CDR-H3 intervals of equal length exhibit distinct repertoires that differ in their amino acid composition and predicted range of structures.

Authors:  Michael Zemlin; Martin Klinger; Jason Link; Cosima Zemlin; Karl Bauer; Jeffrey A Engler; Harry W Schroeder; Perry M Kirkham
Journal:  J Mol Biol       Date:  2003-12-05       Impact factor: 5.469

8.  Human antibody fragments specific for human blood group antigens from a phage display library.

Authors:  J D Marks; W H Ouwehand; J M Bye; R Finnern; B D Gorick; D Voak; S J Thorpe; N C Hughes-Jones; G Winter
Journal:  Biotechnology (N Y)       Date:  1993-10

9.  Highly avid magnetic bead capture: an efficient selection method for de novo protein engineering utilizing yeast surface display.

Authors:  Margaret Ackerman; David Levary; Gabriel Tobon; Benjamin Hackel; Kelly Davis Orcutt; K Dane Wittrup
Journal:  Biotechnol Prog       Date:  2009 May-Jun

10.  High-Throughput Ligand Discovery Reveals a Sitewise Gradient of Diversity in Broadly Evolved Hydrophilic Fibronectin Domains.

Authors:  Daniel R Woldring; Patrick V Holec; Hong Zhou; Benjamin J Hackel
Journal:  PLoS One       Date:  2015-09-18       Impact factor: 3.240

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  4 in total

1.  Constrained Combinatorial Libraries of Gp2 Proteins Enhance Discovery of PD-L1 Binders.

Authors:  Max A Kruziki; Vidur Sarma; Benjamin J Hackel
Journal:  ACS Comb Sci       Date:  2018-06-05       Impact factor: 3.784

Review 2.  Deep sequencing methods for protein engineering and design.

Authors:  Emily E Wrenbeck; Matthew S Faber; Timothy A Whitehead
Journal:  Curr Opin Struct Biol       Date:  2016-11-22       Impact factor: 6.809

3.  A Gradient of Sitewise Diversity Promotes Evolutionary Fitness for Binder Discovery in a Three-Helix Bundle Protein Scaffold.

Authors:  Daniel R Woldring; Patrick V Holec; Lawrence A Stern; Yang Du; Benjamin J Hackel
Journal:  Biochemistry       Date:  2017-03-09       Impact factor: 3.162

4.  Biophysical Characterization Platform Informs Protein Scaffold Evolvability.

Authors:  Alexander W Golinski; Patrick V Holec; Katelynn M Mischler; Benjamin J Hackel
Journal:  ACS Comb Sci       Date:  2019-02-18       Impact factor: 3.784

  4 in total

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