Evidence map›Paper›PMID 39409420›Full record

ArticleSensors (Basel, Switzerland)2024

Challenges and Solutions for Leave-One-Out Biosensor Design in the Context of a Rugged Fitness Landscape.

Shounak Banerjee, Keith Fraser, Donna E Crone, Jinal C Patel, Sarah E Bondos, Christopher Bystroff

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Shounak BanerjeeLos Alamos National Laboratory, Los Alamos, NM 87545, USA.
Keith FraserBiological Sciences, Rensselaer Polytechnic Institute, Troy, NY 12180, USA.
Donna E CroneBiological Sciences, Rensselaer Polytechnic Institute, Troy, NY 12180, USA.
Jinal C PatelBiological Sciences, Rensselaer Polytechnic Institute, Troy, NY 12180, USA.
Sarah E BondosMedical Physiology, Texas A&M University, College Station, TX 77843, USA.
Christopher BystroffBiological Sciences, Rensselaer Polytechnic Institute, Troy, NY 12180, USA.

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
NIGMS NIH HHS R01 GM099827NIH HHS 5R01GM099827-09
6 · The paper itself

Abstract

The leave-one-out (LOO) green fluorescent protein (GFP) approach to biosensor design combines computational protein design with split protein reconstitution. LOO-GFPs reversibly fold and gain fluorescence upon encountering the target peptide, which can be redefined by computational design of the LOO site. Such an approach can be used to create reusable biosensors for the early detection of emerging biological threats. Enlightening biophysical inferences for nine LOO-GFP biosensor libraries are presented, with target sequences from dengue, influenza, or HIV, replacing beta strands 7, 8, or 11. An initially low hit rate was traced to components of the energy function, manifesting in the over-rewarding of over-tight side chain packing. Also, screening by colony picking required a low library complexity, but designing a biosensor against a peptide of at least 12 residues requires a high-complexity library. This double-bind was solved using a "piecemeal" iterative design strategy. Also, designed LOO-GFPs fluoresced in the unbound state due to unwanted dimerization, but this was solved by fusing a fully functional prototype LOO-GFP to a fiber-forming protein,

Indexed as

Biosensing TechniquesGreen Fluorescent ProteinsHemagglutinin Glycoproteins, Influenza VirusGreen Fluorescent ProteinsHemagglutinin Glycoproteins, Influenza Viruschromophorecomputational designgreen fluorescent proteinultrabithorax fibers

Identifiers

PMID39409420
PMCPMC11478963

What OpenQuestion holds

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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.