Skip to main content

In Silico Approaches to Identify Mutagenesis Targets to Probe and Alter Protein–Cofactor and Protein–Protein Functional Relationships

  • Protocol
  • First Online:

Part of the book series: Methods in Molecular Biology ((MIMB,volume 1498))

Abstract

When performing site-directed mutagenesis experiments to study protein structure–function relationships, ideally one would know the structure of the protein under study. It is also very useful to have structures of multiple related proteins in order to determine whether or not particular amino acid residues are conserved in the structures either in the active site of an enzyme at the surface of a protein or at a putative protein–protein interface. While many protein structures are available in the Protein Data Base (PDB), a structure of the protein of interest may not be available. In the study of reversible and often transient protein–protein interactions it is rare to have a structure of the complex of the two interacting proteins. In this chapter, methods are described for comparing protein structures, generating putative structures of proteins with homology models based on the protein primary sequence, and generating docking models to predict interaction sites between proteins and cofactor–protein interactions. The rationale used to predict mutagenesis targets from these structures and models is also described.

This is a preview of subscription content, log in via an institution.

Buying options

Protocol
USD   49.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   89.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   119.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD   169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Springer Nature is developing a new tool to find and evaluate Protocols. Learn more

References

  1. Arnold K, Bordoli L, Kopp J, Schwede T (2006) The SWISS-MODEL workspace: a web-based environment for protein structure homology modelling. Bioinformatics 22:195–201

    Article  CAS  PubMed  Google Scholar 

  2. Ye Y, Godzik A (2003) Flexible structure alignment by chaining aligned fragment pairs allowing twists. Bioinformatics 19(Suppl 2):246–255

    Article  Google Scholar 

  3. Shindyalov IN, Bourne PE (1998) Protein structure alignment by incremental combinatorial extension (CE) of the optimal path. Protein Eng 11:739–747

    Article  CAS  PubMed  Google Scholar 

  4. Pierce BG, Wiehe K, Hwang H, Kim BH, Vreven T, Weng Z (2014) ZDOCK server: interactive docking prediction of protein-protein complexes and symmetric multimers. Bioinformatics 30:1771–1773

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  5. Irwin JJ, Sterling T, Mysinger MM, Bolstad ES, Coleman RG (2012) ZINC: a free tool to discover chemistry for biology. J Chem Inf Model 52:1757–1768

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  6. Grosdidier A, Zoete V, Michielin O (2011) SwissDock, a protein-small molecule docking web service based on EADock DSS. Nucleic Acids Res 39:W270–277

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  7. Grosdidier A, Zoete V, Michielin O (2011) Fast docking using the CHARMM force field with EADock DSS. J Comput Chem 32:2149–2159

    Article  CAS  PubMed  Google Scholar 

  8. Campillo-Brocal JC, Chacon-Verdu MD, Lucas-Elio P, Sanchez-Amat A (2015) Distribution in microbial genomes of genes similar to lodA and goxA which encode a novel family of quinoproteins with amino acid oxidase activity. Bmc Genomics 16:231

    Article  PubMed  PubMed Central  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Victor L. Davidson .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer Science+Business Media New York

About this protocol

Cite this protocol

Dow, B.A., Sehanobish, E., Davidson, V.L. (2017). In Silico Approaches to Identify Mutagenesis Targets to Probe and Alter Protein–Cofactor and Protein–Protein Functional Relationships. In: Reeves, A. (eds) In Vitro Mutagenesis. Methods in Molecular Biology, vol 1498. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-6472-7_12

Download citation

  • DOI: https://doi.org/10.1007/978-1-4939-6472-7_12

  • Published:

  • Publisher Name: Humana Press, New York, NY

  • Print ISBN: 978-1-4939-6470-3

  • Online ISBN: 978-1-4939-6472-7

  • eBook Packages: Springer Protocols

Publish with us

Policies and ethics