↓ Skip to main content

Computational Design of Ligand Binding Proteins

Overview of attention for book
Cover of 'Computational Design of Ligand Binding Proteins'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 In silico Identification and Characterization of Protein-Ligand Binding Sites
  3. Altmetric Badge
    Chapter 2 Computational Modeling of Small Molecule Ligand Binding Interactions and Affinities.
  4. Altmetric Badge
    Chapter 3 Binding Site Prediction of Proteins with Organic Compounds or Peptides Using GALAXY Web Servers.
  5. Altmetric Badge
    Chapter 4 Computational Design of Ligand Binding Proteins
  6. Altmetric Badge
    Chapter 5 PocketOptimizer and the Design of Ligand Binding Sites.
  7. Altmetric Badge
    Chapter 6 Proteus and the Design of Ligand Binding Sites.
  8. Altmetric Badge
    Chapter 7 A Structure-Based Design Protocol for Optimizing Combinatorial Protein Libraries.
  9. Altmetric Badge
    Chapter 8 Computational Design of Ligand Binding Proteins
  10. Altmetric Badge
    Chapter 9 Computational Design of Ligand Binding Proteins
  11. Altmetric Badge
    Chapter 10 Computational Design of Multinuclear Metalloproteins Using Unnatural Amino Acids.
  12. Altmetric Badge
    Chapter 11 De Novo Design of Metalloproteins and Metalloenzymes in a Three-Helix Bundle.
  13. Altmetric Badge
    Chapter 12 Design of Light-Controlled Protein Conformations and Functions.
  14. Altmetric Badge
    Chapter 13 Computational Introduction of Catalytic Activity into Proteins.
  15. Altmetric Badge
    Chapter 14 Computational Design of Ligand Binding Proteins
  16. Altmetric Badge
    Chapter 15 Design of Specific Peptide-Protein Recognition.
  17. Altmetric Badge
    Chapter 16 Computational Design of DNA-Binding Proteins.
  18. Altmetric Badge
    Chapter 17 Motif-Driven Design of Protein-Protein Interfaces.
  19. Altmetric Badge
    Chapter 18 Computational Design of Ligand Binding Proteins
  20. Altmetric Badge
    Chapter 19 Computational Design of Ligand Binding Proteins
  21. Altmetric Badge
    Chapter 20 Computational Design of Protein Linkers.
  22. Altmetric Badge
    Chapter 21 Modeling of Protein-RNA Complex Structures Using Computational Docking Methods.
Attention for Chapter 7: A Structure-Based Design Protocol for Optimizing Combinatorial Protein Libraries.
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
12 Dimensions

Readers on

mendeley
9 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Chapter title
A Structure-Based Design Protocol for Optimizing Combinatorial Protein Libraries.
Chapter number 7
Book title
Computational Design of Ligand Binding Proteins
Published in
Methods in molecular biology, January 2016
DOI 10.1007/978-1-4939-3569-7_7
Pubmed ID
Book ISBNs
978-1-4939-3567-3, 978-1-4939-3569-7
Authors

Mark W. Lunt, Christopher D. Snow

Editors

Barry L. Stoddard

Abstract

Protein variant libraries created via site-directed mutagenesis are a powerful approach to engineer improved proteins for numerous applications such as altering enzyme substrate specificity. Conventional libraries commonly use a brute force approach: saturation mutagenesis via degenerate codons that encode all 20 natural amino acids. In contrast, this chapter describes a protocol for designing "smarter" degenerate codon libraries via direct combinatorial optimization in "library space."Several case studies illustrate how it is possible to design degenerate codon libraries that are highly enriched for favorable, low-energy sequences as assessed using a standard all-atom scoring function. There is much to gain for experimental protein engineering laboratories willing to think beyond site saturation mutagenesis. In the common case that the exact experimental screening budget is not fixed, it is particularly helpful to perform a Pareto analysis to inspect favorable libraries at a range of possible library sizes.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Other 2 22%
Researcher 2 22%
Student > Bachelor 1 11%
Student > Ph. D. Student 1 11%
Professor 1 11%
Other 0 0%
Unknown 2 22%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 22%
Agricultural and Biological Sciences 2 22%
Linguistics 1 11%
Neuroscience 1 11%
Engineering 1 11%
Other 0 0%
Unknown 2 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 26 December 2017.
All research outputs
#18,453,763
of 22,865,319 outputs
Outputs from Methods in molecular biology
#7,923
of 13,127 outputs
Outputs of similar age
#284,496
of 393,648 outputs
Outputs of similar age from Methods in molecular biology
#846
of 1,470 outputs
Altmetric has tracked 22,865,319 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,127 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 24th percentile – i.e., 24% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 393,648 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,470 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.