Taha Y. Taha
@taha801.bsky.social
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reposted by
Taha Y. Taha
Edoardo Gianni
about 2 months ago
How could a simple self-replicating system emerge at the origins of life? RNA polymerase ribozymes can replicate RNA, but existing ones are so large that their self-replication seems impossible. Could they be smaller? Excited to share our latest work in
@science.org
on a new small polymerase. 1/n
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A small polymerase ribozyme that can synthesize itself and its complementary strand
The emergence of a chemical system capable of self-replication and evolution is a critical event in the origin of life. RNA polymerase ribozymes can replicate RNA, but their large size and structural ...
https://www.science.org/doi/10.1126/science.adt2760
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reposted by
Taha Y. Taha
Sarah Gurev
8 months ago
🦠The future of pathogen forecasting needs rigorous benchmarks and domain-specific modeling, not only bigger PLMs. EVEREST is a step in that direction. 🔗Paper:
biorxiv.org/content/10.1...
💻Code + data:
github.com/debbiemarksl...
12/12
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Variant effect prediction with reliability estimation across priority viruses
Viruses pose a significant threat to global health due to their rapid evolution, adaptability, and increasing potential for cross-species transmission. While advances in machine learning and the growi...
https://biorxiv.org/content/10.1101/2025.08.04.668549v1
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I finally know why the cap was designed that way.....
11 months ago
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reposted by
Taha Y. Taha
Jorge Bravo Abad
about 1 year ago
Kraemer et al. use machine learning to model epidemics more efficiently. Their work shows faster forecasting, better handling of incomplete data, and more accurate infection estimates, pointing to improved global health decision making.
www.nature.com/articles/s41...
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Artificial intelligence for modelling infectious disease epidemics - Nature
This Perspective considers the application to infectious disease modelling of AI systems that combine machine learning, computational statistics, information retrieval and data science.
https://www.nature.com/articles/s41586-024-08564-w
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reposted by
Taha Y. Taha
Stephan Hacker
about 1 year ago
Interesting bioRxiv preprint by a team around Charles Craik, Adam Renslo and @theottlab.bsky.social. Inhibitors for Mpro of coronaviruses based on a dihydrouracil chemotype and a propargyl amide warhead as reactive group to engage the catalytic cysteine. #chemsky #ChemBio
www.biorxiv.org/cont...
#chemsky
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Thrilled to share our latest work identifying that
#SARSCoV2
#Omicron
variants harboring an L260F mutation in NSP6 have enhanced replication and pathogenesis. A not so brief thread 🧵
over 1 year ago
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