Evidence map›Paper›PMID 28248518›Full record

ArticleBiochemistry2017

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

Daniel R Woldring, Patrick V Holec, Lawrence A Stern, Yang Du, Benjamin J Hackel

Abstract read
In one paragraph

Article in Biochemistry, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing 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

30 citing papers in PubMed.

  1. Article
  2. Article
  3. Engineered B7-H3 Binding in Modular Gp2 Miniproteins.Biotechnology and bioengineering · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. High-throughput protein binder discovery by rapid in vivo selection.bioRxiv : the preprint server for biology · 2025
    Article
  9. Article
  10. Article
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  12. Article
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  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. High-throughput developability assays enable library-scale identification of producible protein scaffold variants.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
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

5 authors.

Daniel R WoldringDepartment of Chemical Engineering and Materials Science, University of Minnesota-Twin Cities , 421 Washington Avenue Southeast, Minneapolis, Minnesota 55455, United States.
Patrick V HolecDepartment of Chemical Engineering and Materials Science, University of Minnesota-Twin Cities , 421 Washington Avenue Southeast, Minneapolis, Minnesota 55455, United States.
Lawrence A SternDepartment of Chemical Engineering and Materials Science, University of Minnesota-Twin Cities , 421 Washington Avenue Southeast, Minneapolis, Minnesota 55455, United States.
Yang DuMolecular and Cellular Physiology, Stanford University , 279 Campus Drive, Stanford, California 94305, United States.
Benjamin J HackelDepartment of Chemical Engineering and Materials Science, University of Minnesota-Twin Cities , 421 Washington Avenue Southeast, Minneapolis, Minnesota 55455, United States.ORCID 0000-0003-3561-9463

Funding

Molecular PET Imaging of MET with Small Protein LigandsR21EB019518 · NIBIB · UNIVERSITY OF MINNESOTA · PI HACKEL, BENJAMIN · 2015 to 2016
$409k
NIBIB NIH HHS R21 EB019518
6 · The paper itself

Abstract

Engineered proteins provide clinically and industrially impactful molecules and utility within fundamental research, yet inefficiencies in discovering lead variants with new desired functionality, while maintaining stability, hinder progress. Improved function, which can result from a few strategic mutations, is fundamentally separate from discovering novel function, which often requires large leaps in sequence space. While a highly diverse combinatorial library covering immense sequence space would empower protein discovery, the ability to sample only a minor subset of sequence space and the typical destabilization of random mutations preclude this strategy. A balance must be reached. At library scale, compounding several destabilizing mutations renders many variants unable to properly fold and devoid of function. Broadly searching sequence space while reducing the level of destabilization may enhance evolution. We exemplify this balance with affibody, a three-helix bundle protein scaffold. Using natural ligand data sets, stability and structural computations, and deep sequencing of thousands of binding variants, a protein library was designed on a sitewise basis with a gradient of mutational levels across 29% of the protein. In direct competition of biased and uniform libraries, both with 1 × 10

Indexed as

Directed Molecular EvolutionPeptide LibraryB7 AntigensCytochromes cGlucosephosphate DehydrogenaseHumansImmunoglobulin GModels, MolecularMuramidaseMutationProtein BindingProtein DenaturationProtein EngineeringProtein StabilityProtein Structure, SecondaryProto-Oncogene Proteins c-metB7 AntigensCD276 protein, humanCytochromes cGlucosephosphate DehydrogenaseImmunoglobulin GMET protein, humanMuramidasePeptide LibraryProto-Oncogene Proteins c-metReceptors, G-Protein-CoupledReceptors, TNF-Related Apoptosis-Inducing LigandTransferrin

Identifiers

PMID28248518
PMCPMC5521020

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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.