Evidence map›Paper›PMID 34302667›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2021

Guardians of the Cell: State-of-the-Art of Membrane Proteins from a Computational Point-of-View.

Nícia Rosário-Ferreira, Catarina Marques-Pereira, Raquel P Gouveia, Joana Mourão, Irina S Moreira

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2021. 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, top 88% 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, 0 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

5 authors at 1 institution in 1 country.

Nícia Rosário-FerreiraCoimbra Chemistry Center, Department of Chemistry, University of Coimbra, Coimbra, Portugal.
Catarina Marques-PereiraCenter for Neuroscience and Cell Biology, Center for Innovative Biomedicine and Biotechnology, University of Coimbra, Coimbra, Portugal.
Raquel P GouveiaCenter for Neuroscience and Cell Biology, Center for Innovative Biomedicine and Biotechnology, University of Coimbra, Coimbra, Portugal.
Joana MourãoCenter for Neuroscience and Cell Biology, University of Coimbra, Coimbra, Portugal.
Irina S MoreiraDepartment of Life Sciences, University of Coimbra, Coimbra, Portugal. irina.moreira@cnc.uc.pt.
University of Coimbra · PT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Membrane proteins (MPs) encompass a large family of proteins with distinct cellular functions, and although representing over 50% of existing pharmaceutical drug targets, their structural and functional information is still very scarce. Over the last years, in silico analysis and algorithm development were essential to characterize MPs and overcome some limitations of experimental approaches. The optimization and improvement of these methods remain an ongoing process, with key advances in MPs' structure, folding, and interface prediction being continuously tackled. Herein, we discuss the latest trends in computational methods toward a deeper understanding of the atomistic and mechanistic details of MPs.

Indexed as

AlgorithmsComputational BiologyComputer SimulationMembrane ProteinsModels, MolecularProtein FoldingMembrane ProteinsComputational methodsInterfacesMachine learningMembrane proteinsMolecular dynamicsSequence–structure–function Prediction

Identifiers

PMID34302667
OpenAlexW3183763126

What Socratic holds

Textmetadata
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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 Socratic graph.