Evidence map›Paper›PMID 19833875›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2009

Computational design of ligand binding is not a solved problem.

Bettina Schreier, Christian Stumpp, Silke Wiesner, Birte Höcker

Open access · greenAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed
4.0field-weighted citation impact, top 6% of its field
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

43 citing papers in PubMed, 101 citations in OpenAlex.

  1. Optimizing Stability in Dynamic Small-Molecule Binding Proteins.Journal of the American Chemical Society · 2026
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  4. bioRxiv : the preprint server for biology · 2023
    Article
  5. Retracing the evolution of a modern periplasmic binding protein.Protein science : a publication of the Protein Society · 2023
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  13. Redesign of LAOBP to bind novel l-amino acid ligands.Protein science : a publication of the Protein Society · 2018
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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

4 authors at 1 institution in 1 country.

Bettina SchreierThe Max Planck Institute for Developmental Biology, Spemannstrasse 35, 72076 Tübingen, Germany.
Christian Stumpp
Silke Wiesner
Birte Höcker
Max Planck Institute for Developmental Biology · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Computational design has been very successful in recent years: multiple novel ligand binding proteins as well as enzymes have been reported. We wanted to know in molecular detail how precise the predictions of the interactions of protein and ligands are. Therefore, we performed a structural analysis of a number of published receptors designed onto the periplasmic binding protein scaffold that were reported to bind to the new ligands with nano- to micromolar affinities. It turned out that most of these designed proteins are not suitable for structural studies due to instability and aggregation. However, we were able to solve the crystal structure of an arabinose binding protein designed to bind serotonin to 2.2 A resolution. While crystallized in the presence of an excess of serotonin, the protein is in an open conformation with no serotonin bound, although the side-chain conformations in the empty binding pocket are very similar to the conformations predicted. During subsequent characterization using isothermal titration calorimetry, CD, and NMR spectroscopy, no indication of binding could be detected for any of the tested designed receptors, whereas wild-type proteins bound their ligands as expected. We conclude that although the computational prediction of side-chain conformations appears to be working, it does not necessarily confer binding as expected. Hence, the computational design of ligand binding is not a solved problem and needs to be revisited.

Indexed as

Binding SitesBiophysical PhenomenaCalorimetryComputational BiologyGlycoproteinsLigandsProtein Structure, SecondaryReceptors, Cell SurfaceGlycoproteinsLigandsReceptors, Cell Surface

Identifiers

PMID19833875
PMCPMC2773959
OpenAlexW2009277434

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.