Evidence map›Paper›PMID 37885591›Full record

ArticleJACS Au2023

Identifying Selectivity Filters in Protein Biosensor for Ligand Screening.

Mohammad Sahil, Jayanti Singh, Subhankar Sahu, Sushant Kumar Pal, Ajit Yadav, Ruchi Anand, Jagannath Mondal

Open access · goldAbstract read
In one paragraph

Article in JACS Au, 2023. 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
1.9field-weighted citation impact, top 13% 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

0 citing papers in PubMed, 6 citations in OpenAlex.

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

7 authors at 2 institutions in 1 country.

Mohammad SahilTata Institute of Fundamental Research, Hyderabad, 500046, India.
Jayanti SinghDepartment of Chemistry, Indian Institute of Technology, Mumbai, 400076, India.
Subhankar SahuDepartment of Chemistry, Indian Institute of Technology, Mumbai, 400076, India.
Sushant Kumar PalDepartment of Chemistry, Indian Institute of Technology, Mumbai, 400076, India.ORCID https://orcid.org/0000-0002-6193-9762
Ajit YadavDepartment of Chemistry, Indian Institute of Technology, Mumbai, 400076, India.
Ruchi AnandDepartment of Chemistry, Indian Institute of Technology, Mumbai, 400076, India.ORCID https://orcid.org/0000-0002-2045-3758
Jagannath MondalTata Institute of Fundamental Research, Hyderabad, 500046, India.ORCID https://orcid.org/0000-0003-1090-5199
Indian Institute of Technology Bombay · INTata Institute of Fundamental Research · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Specialized sensing mechanisms in bacteria enable the identification of cognate ligands with remarkable selectivity in highly xenobiotic-polluted environments where these ligands are utilized as energy sources. Here, via integrating all-atom computer simulation, biochemical assay, and isothermal titration calorimetry measurements, we determine the molecular basis of MopR, a phenol biosensor's complex selection process of ligand entry. Our results reveal a set of strategically placed selectivity filters along the ligand entry pathway of MopR. These filters act as checkpoints, screening diverse aromatic ligands at the protein surface based on their chemical features and sizes. Ligands meeting specific criteria are allowed to enter the sensing site in an orientation-dependent manner. Sequence and structural analyses demonstrate the conservation of this ligand entry mechanism across the sensor class, with individual amino acids along the selectivity filter path playing a critical role in ligand selection. Together, this investigation highlights the importance of interactions with the ligand entry pathway, in addition to interactions within the binding pocket, in achieving ligand selectivity in biological sensing. The findings enhance our understanding of ligand selectivity in bacterial phenol biosensors and provide insights for rational expansion of the biosensor repertoire, particularly for the biotechnologically relevant class of aromatic pollutants.

Identifiers

PMID37885591
PMCPMC10598577
OpenAlexW4386827409

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.