Evidence map›Paper›PMID 19177362›Full record

ArticleProtein science : a publication of the Protein Society2009

OptGraft: A computational procedure for transferring a binding site onto an existing protein scaffold.

Hossein Fazelinia, Patrick C Cirino, Costas D Maranas

Abstract read
In one paragraph

Article in Protein science : a publication of the Protein Society, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

  1. A computational method for design of connected catalytic networks in proteins.Protein science : a publication of the Protein Society · 2019
    Article
  2. Article
  3. Computational approaches forBioscience reports · 2017
    Review
  4. Computational tools for the evaluation of laboratory-engineered biocatalysts.Chemical communications (Cambridge, England) · 2016
    Review
  5. Article
  6. Article
  7. Computational strategies for the design of new enzymatic functions.Archives of biochemistry and biophysics · 2015
    Review
  8. Article
  9. Article
  10. Article
  11. A matching algorithm for catalytic residue site selection in computational enzyme design.Protein science : a publication of the Protein Society · 2011
    Article
  12. Review
  13. Evolution: a guide to perturb protein function and networks.Current opinion in structural biology · 2010
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Hossein FazeliniaDepartment of Chemical Engineering, The Pennsylvania State University, University Park, Pennsylvania 16802 , USA.
Patrick C Cirino
Costas D Maranas

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

One of the many challenging tasks of protein design is the introduction of a completely new function into an existing protein scaffold. In this study, we introduce a new computational procedure OptGraft for placing a novel binding pocket onto a protein structure so as its geometry is minimally perturbed. This is accomplished by introducing a two-level procedure where we first identify where are the most appropriate locations to graft the new binding pocket into the protein fold by minimizing the departure from a set of geometric restraints using mixed-integer linear optimization. On identifying the suitable locations that can accommodate the new binding pocket, CHARMM energy calculations are employed to identify what mutations in the neighboring residues, if any, are needed to ensure that the minimum energy conformation of the binding pocket conserves the desired geometry. This computational framework is benchmarked against the results available in the literature for engineering a copper binding site into thioredoxin protein. Subsequently, OptGraft is used to guide the transfer of a calcium-binding pocket from thermitase protein (PDB: 1thm) into the first domain of CD2 protein (PDB:1hng). Experimental characterization of three de novo redesigned proteins with grafted calcium-binding centers demonstrated that they all exhibit high affinities for terbium (Kd) approximately 22, 38, and 55 microM) and can selectively bind calcium over magnesium.

Indexed as

AlgorithmsAzurinBinding SitesCalciumCalcium-Binding ProteinsComputational BiologyCopperEscherichia coliFluorescence Resonance Energy TransferKineticsMagnesiumModels, MolecularMutagenesis, Site-DirectedMutationProtein EngineeringProtein Structure, TertiaryAzurinCalciumCalcium-Binding ProteinsCopperMagnesiumSerine EndopeptidasesTerbiumthermitaseThioredoxins

Identifiers

PMID19177362
PMCPMC2708043

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.