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The group expresses strong interest and agreement with the publication by highlighting its innovative approach and potential impact, such as the mention of a concise audio summary for accessibility and excitement over the model's ability to differentiate mutational effects, which signifies a noteworthy advancement in the field. The tone is positive and uses words like 'great,' 'big happiness,' and 'see how it works,' indicating enthusiasm and recognition of the model's significance.
Most discussions show strong support and excitement for the published model, emphasizing its accuracy and potential benefits.
Comments highlight high engagement and curiosity, with mentions of practical applications and accessibility through different formats.
Posts demonstrate active participation by sharing summaries, exploring the model's capabilities, and discussing its significance.
The discussions reflect an awareness of the substantial influence the model could have on genomic research and disease prediction tools.
İnsan proteomundaki tüm mutasyonların olası hastalık yapıcı etkilerini tahmin etmek için geliştirdiğimiz PRESCOTT algoritmasına dair çalışmamızın etki çarpanı 10.1 olan Genome Biology dergisinde yayınlandığını görmek büyük bir mutluluk. https://t.co/dU7qLf3XnT
PRESCOTT online in Genome Biology! see how it works on differentiating mutational effects across isoforms, unique genetic heritage, recessive and dominant inheritance modes, gain-of-function mutations at https://t.co/o1rXqlwi0F. Work done with @mtekpinar T.Henry L.David
PRESCOTT: a population aware, epistatic and structural model accurately predicts missense effect https://t.co/9xiKB0t7TB #medRxiv
I created a 10 minutes audio summary of our PRESCOTT paper with @NotebookLM for those who don't like reading length papers or for those visually impaired. It does a great job in general. Take a look at https://t.co/xaZM2fG1P0
PRESCOTT: a population aware, epistatic and structural model accurately predicts missense effect https://www.medrxiv.org/content/10.1101/2024.02.03.24302219v1
RT @medrxivpreprint: PRESCOTT: a population aware, epistatic and structural model accurately predicts missense effect https://t.co/9xiKB0t…
PRESCOTT is a model that accurately predicts how missense mutations affect protein function by using protein sequences, structural data, and population-specific allele frequencies. It also identifies mutational hotspots…
My talk at Variant Effects Seminar on May 6, 2025, covered the PRESCOTT method developed to predict mutational effects, especially for human proteins. PRESCOTT uses sequence, structural data, and population frequencies…
PRESCOTT predicts mutational effects using population, structural, and evolutionary data. This summary facilitates understanding for those who prefer audio or are visually impaired. The model outperforms existing…
I created a 10 minutes audio summary of our PRESCOTT paper with @NotebookLM for those who don't like reading length papers or for those visually impaired. It does a great job in general. Take a look at https://t.co/xaZM2fG1P0
İnsan proteomundaki tüm mutasyonların olası hastalık yapıcı etkilerini tahmin etmek için geliştirdiğimiz PRESCOTT algoritmasına dair çalışmamızın etki çarpanı 10.1 olan Genome Biology dergisinde yayınlandığını görmek büyük bir mutluluk. https://t.co/dU7qLf3XnT
RT @acarbone16: PRESCOTT online in Genome Biology! see how it works on differentiating mutational effects across isoforms, unique genetic h…
PRESCOTT online in Genome Biology! see how it works on differentiating mutational effects across isoforms, unique genetic heritage, recessive and dominant inheritance modes, gain-of-function mutations at https://t.co/o1rXqlwi0F. Work done with @mtekpinar T.Henry L.David
RT @medrxivpreprint: PRESCOTT: a population aware, epistatic and structural model accurately predicts missense effect https://t.co/9xiKB0t…
RT @medrxivpreprint: PRESCOTT: a population aware, epistatic and structural model accurately predicts missense effect https://t.co/9xiKB0t…
PRESCOTT: a population aware, epistatic and structural model accurately predicts missense effect https://www.medrxiv.org/content/10.1101/2024.02.03.24302219v1
PRESCOTT: a population aware, epistatic and structural model accurately predicts missense effect https://t.co/9xiKB0t7TB #medRxiv