Evidence map›Paper›PMID 26397806›Full record

ArticleBiochemistry2015

Toward Computationally Designed Self-Reporting Biosensors Using Leave-One-Out Green Fluorescent Protein.

Yao-Ming Huang, Shounak Banerjee, Donna E Crone, Christian D Schenkelberg, Derek J Pitman, Patrick M Buck, Christopher Bystroff

Open access · greenAbstract read
In one paragraph

Article in Biochemistry, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.5field-weighted citation impact, top 33% 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

9 citing papers in PubMed, 12 citations in OpenAlex.

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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

7 authors at 1 institution in 1 country.

Yao-Ming HuangDepartment of Bioengineering and Therapeutic Sciences, University of California, San Francisco , San Francisco, California 94158, United States.
Shounak Banerjee
Donna E Crone
Christian D Schenkelberg
Derek J Pitman
Patrick M Buck
Christopher Bystroff
University of California, San Francisco · US

Funding

Computational design of specific binding proteins using Leave-One-OutR01GM099827 · NIGMS · RENSSELAER POLYTECHNIC INSTITUTE · PI BONDOS, SARAH E, BYSTROFF, CHRISTOPHER · 2012 to 2021
$2.9M
Computational design of specific binding proteins using Leave-One-OutR21GM088838 · NIGMS · RENSSELAER POLYTECHNIC INSTITUTE · PI BYSTROFF, CHRISTOPHER · 2009 to 2010
$397k
NIGMS NIH HHS GM099827NIGMS NIH HHS R01 GM099827NIGMS NIH HHS R21 GM088838
6 · The paper itself

Abstract

Leave-one-out green fluorescent protein (LOOn-GFP) is a circularly permuted and truncated GFP lacking the nth β-strand element. LOO7-GFP derived from the wild-type sequence (LOO7-WT) folds and reconstitutes fluorescence upon addition of β-strand 7 (S7) as an exogenous peptide. Computational protein design may be used to modify the sequence of LOO7-GFP to fit a different peptide sequence, while retaining the reconstitution activity. Here we present a computationally designed leave-one-out GFP in which wild-type strand 7 has been replaced by a 12-residue peptide (HA) from the H5 antigenic region of the Thailand strain of H5N1 influenza virus hemagglutinin. The DEEdesign software was used to generate a sequence library with mutations at 13 positions around the peptide, coding for approximately 3 × 10(5) sequence combinations. The library was coexpressed with the HA peptide in E. coli and colonies were screened for in vivo fluorescence. Glowing colonies were sequenced, and one (LOO7-HA4) with 7 mutations was purified and characterized. LOO7-HA4 folds, fluoresces in vivo and in vitro, and binds HA. However, binding results in a decrease in fluorescence instead of the expected increase, caused by the peptide-induced dissociation of a novel, glowing oligomeric complex instead of the reconstitution of the native structure. Efforts to improve binding and recover reconstitution using in vitro evolution produced colonies that glowed brighter and matured faster. Two of these were characterized. One lost all affinity for the HA peptide but glowed more brightly in the unbound oligomeric state. The other increased in affinity to the HA peptide but still did not reconstitute the fully folded state. Despite failing to fold completely, peptide binding by computational design was observed and was improved by directed evolution. The ratio of HA to S7 binding increased from 0.0 for the wild-type sequence (no binding) to 0.01 after computational design (weak binding) and to 0.48 (comparable binding) after in vitro evolution. The novel oligomeric state is composed of an open barrel.

Indexed as

Amino Acid SequenceAntigens, ViralBiosensing TechniquesEscherichia coliFluorescenceGreen Fluorescent ProteinsHemagglutininsHumansInfluenza A Virus, H5N1 SubtypeInfluenza, HumanModels, MolecularMolecular Sequence DataMutationProtein FoldingViral ProteinsAntigens, ViralGreen Fluorescent ProteinsHemagglutininsViral Proteins

Identifiers

PMID26397806
PMCPMC4939794
OpenAlexW2303338210

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Registered trials

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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.