Prediction of designer-recombinases for DNA editing with generative deep learning.

Lukas Theo Schmitt, Maciej Paszkowski-Rogacz, Florian Jug, Frank Buchholz

December 2022 Nat Commun

Synopsis of Social media discussions

The overall tone of the discussions reflects strong curiosity and recognition of the research's importance, as seen in comments like 'prediction of designer-recombinases' being a 'new result' and mentions of seminars and applications. Words such as 'congratulations,' 'excited,' and 'interested' emphasize positive reception and anticipation of impact, despite limited direct critique or deep technical engagement.

A
Agreement
 Moderate agreement

Most posts acknowledge the significance of the research, with some expressing pride and congratulating the researchers, indicating a generally positive reception.

I
Interest
 High level of interest

The discussions show high interest, highlighted by mentions of upcoming seminars, the application of deep learning techniques, and enthusiasm for the research's potential, using words like 'interested' and 'excited'.

E
Engagement
 Moderate level of engagement

While several discussions reference the methods and applications, the tone suggests curiosity rather than deep technical debate, with some posts sharing links and summaries, implying moderate engagement.

I
Impact
 Moderate level of impact

The perception is that this research could be impactful, especially in fields like DNA editing and bioinformatics, but there's no strong evidence of predictions about transformative industry changes or policy shifts at this stage.

Social Mentions

YouTube

1 Videos

Twitter

42 Posts

News

2 Articles

Metrics

Video Views

50

Total Likes

71

Extended Reach

307,983

Social Features

45

Timeline: Posts about article

Top Social Media Posts

Posts referencing the article

Predicting Designer Recombinases for DNA Editing Using Deep Learning

Predicting Designer Recombinases for DNA Editing Using Deep Learning

This video discusses the prediction of designer recombinases for DNA editing utilizing generative deep learning techniques, highlighting recent advances in protein engineering.

STEM RTCL TV

April 29, 2023

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    RT @BuchholzLab_TUD: Many congratulations to our alumni @LukasTSchmitt for receiving the Dresden Excellence Award 2023 for his PhD work in…
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  • Buchholz Lab
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  • SaxoChiLD
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    January 2, 2023

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Abstract Synopsis