Genome Biol May 2023 PMID 37173746

Cross-phyla protein annotation by structural prediction and alignment.

Fabian Ruperti, Nikolaos Papadopoulos, Jacob M Musser, Milot Mirdita, Martin Steinegger, Detlev Arendt

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Mentions

Peak: 37 in May 2023

across 2 sources since Jan 2023

Extended reach

38,609

potential audience

Total likes

121

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Mentions per month

Jan 2023 – Nov 2023

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YouTube1 videos

AI synopsis

What people are saying

The posts exhibit a generally positive attitude towards the publication, with some users expressing curiosity through questions like '@embl Wanna know in more?' and others emphasizing the novelty of structural prediction methods. The tone is informal and enthusiastic, indicating interest but limited deep engagement, as most comments focus on recognizing the study's relevance rather than critiquing or analyzing its details.

AgreementModerate agreement

Most posts acknowledge the significance of the publication, with some expressing curiosity about its methods and implications, indicating moderate support.

InterestHigh interest

Social discussions demonstrate strong curiosity, especially when mentioning phrases like 'Wanna know in more?' and discussing 'cross-phyla protein annotation,' signaling high interest.

EngagementModerate engagement

Posts show shallow engagement through repeated mentions of the article's title and general enthusiasm, but few delve deeply into the specifics or critique the methodology.

ImpactModerate impact

While many acknowledge the potential of the research, especially in advancing protein annotation techniques across diverse species, the overall perception is that its influence is promising but not yet revolutionary.

Abstract in brief

The article discusses a new method for protein annotation that uses structural similarity to identify homologous proteins, which is especially useful for non-model organisms like sponges where traditional sequence-based methods are less effective.
The researchers developed a workflow called MorF (MorphologFinder) that leverages openly available tools to predict protein functions, revealing new insights into sponge biology, such as signaling pathways and metabolic activities.
This approach demonstrates that analyzing protein structures can significantly enhance functional predictions, extending our ability to study proteins across diverse species and advancing discoveries in various omics datasets.]

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Protein Annotation Using Structural Prediction and Alignment Techniques

This video introduces a method for protein annotation based on structural similarity, which enhances identification of homologous proteins, especially in non-model organisms like sponges, by leveraging structural…

Social RTCL TV · Aug 21, 2023 20 views

Tominaga K. (tomiken)

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» Cross-phyla protein annotation by structural prediction and alignment | Genome Biology | Full Text https://t.co/BOYViDwAv0

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