CaltechAUTHORS
  A Caltech Library Service

Efficient Sampling of SCHEMA Chimera Families to Identify Useful Sequence Elements

Heinzelman, Pete and Romero, Philip A. and Arnold, Frances H. (2013) Efficient Sampling of SCHEMA Chimera Families to Identify Useful Sequence Elements. In: Methods in Protein Design. Methods in Enzymology. No.523. Elsevier , Amsterdam, pp. 351-368. ISBN 9780123942920. https://resolver.caltech.edu/CaltechAUTHORS:20130620-125417347

Full text is not posted in this repository. Consult Related URLs below.

Use this Persistent URL to link to this item: https://resolver.caltech.edu/CaltechAUTHORS:20130620-125417347

Abstract

SCHEMA structure-guided recombination is an effective method for producing families of protein chimeras having high sequence diversity, functional diversity, and thermostabilities greater than any of the parent proteins from which the chimeras are made. A key feature of SCHEMA chimera families is their amenability to a “sample, model, and predict” operation that allows one to characterize members of a small chimera sample set and use those data to construct models that accurately predict the properties of every member of the family. In this chapter, we describe applications of this “sample, model, and predict” approach and outline methods for designing chimera sample sets that enable efficient construction of models to identify useful sequence elements. With these models we can also predict the sequences and properties of the most desirable chimeras.


Item Type:Book Section
Related URLs:
URLURL TypeDescription
http://dx.doi.org/10.1016/B978-0-12-394292-0.00016-3DOIArticle
http://www.sciencedirect.com/science/article/pii/B9780123942920000163PublisherArticle
ORCID:
AuthorORCID
Romero, Philip A.0000-0002-2586-7263
Arnold, Frances H.0000-0002-4027-364X
Additional Information:© 2013 Elsevier Inc. The authors acknowledge funding from the Institute of General Medical Sciences of the National Institutes of Health (ARRA grant 2R01-GM068664-05A1) for work on cytochrome P450s and the U.S. Army Research Office Institute for Collaborative Biotechnologies (grant W911NF-09-D-0001) for technology development and cellulase engineering. The contents of this chapter are solely the responsibility of the authors and do not necessarily represent the official views of the sponsors.
Funders:
Funding AgencyGrant Number
NIH2R01-GM068664-05A1
Army Research Office (ARO)W911NF-09-D-0001
National Institute of General Medical SciencesUNSPECIFIED
Subject Keywords:Enzyme engineering; Homologous recombination; Directed evolution library design; Active learning; Protein stability; Cellulase; Cytochrome P450; Protein fitness landscape
Series Name:Methods in Enzymology
Issue or Number:523
Record Number:CaltechAUTHORS:20130620-125417347
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20130620-125417347
Official Citation:Pete Heinzelman, Philip A. Romero, Frances H. Arnold, Chapter Sixteen - Efficient Sampling of SCHEMA Chimera Families to Identify Useful Sequence Elements, In: Amy E. Keating, Editor(s), Methods in Enzymology, Academic Press, 2013, Volume 523, Pages 351-368, ISSN 0076-6879, ISBN 9780123942920, http://dx.doi.org/10.1016/B978-0-12-394292-0.00016-3.
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:39000
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:24 Jun 2013 15:44
Last Modified:26 Nov 2019 20:14

Repository Staff Only: item control page