ArticleScientific reports2020
IMPROvER: the Integral Membrane Protein Stability Selector.
Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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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.
The trial behind it
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Who cites it
5 citing papers in PubMed, 10 citations in OpenAlex.
- Combined Computational-Biochemical Approach Offers an Accelerated Path to Membrane Protein Solubilization.Journal of chemical information and modeling · 2023Article
- Fluorescence-Detection Size-Exclusion Chromatography-Based Thermostability Assay for Membrane Proteins.Methods in molecular biology (Clifton, N.J.) · 2023Article
- mPPases create a conserved anionic membrane fingerprint as identified via multi-scale simulations.PLoS computational biology · 2022Article
- Novel variants provide differential stabilisation of human equilibrative nucleoside transporter 1 states.Frontiers in molecular biosciences · 2022Article
- A novel high-throughput screen for identifying lipids that stabilise membrane proteins in detergent based solution.PloS one · 2021Article
Corrections and comments
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Authors and funding
8 authors at 3 institutions in 3 countries.
Funding
Abstract
Identifying stabilising variants of membrane protein targets is often required for structure determination. Our new computational pipeline, the Integral Membrane Protein Stability Selector (IMPROvER) provides a rational approach to variant selection by employing three independent approaches: deep-sequence, model-based and data-driven. In silico tests using known stability data, and in vitro tests using three membrane protein targets with 7, 11 and 16 transmembrane helices provided measures of success. In vitro, individual approaches alone all identified stabilising variants at a rate better than expected by random selection. Low numbers of overlapping predictions between approaches meant a greater success rate was achieved (fourfold better than random) when approaches were combined and selections restricted to the highest ranked sites. The mix of information IMPROvER uses can be extracted for any helical membrane protein. We have developed the first general-purpose tool for selecting stabilising variants of [Formula: see text]-helical membrane proteins, increasing efficiency and reducing workload. IMPROvER can be accessed at http://improver.ddns.net/IMPROvER/ .
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Registered trials
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.