nabil_ibtehaz (@nibtehaz) 's Twitter Profile
nabil_ibtehaz

@nibtehaz

computerphile

ID: 1027556259677884416

calendar_today09-08-2018 14:04:38

88 Tweet

29 Followers

76 Following

DailyHealthcareAI (@aipulserx) 's Twitter Profile Photo

How can deep learning be used to accurately predict RNA tertiary structures when experimental determination is costly and time-consuming?Purdue University Nature Communications "NuFold: end-to-end approach for RNA tertiary structure prediction with flexible nucleobase center representation"

How can deep learning be used to accurately predict RNA tertiary structures when experimental determination is costly and time-consuming?<a href="/LifeAtPurdue/">Purdue University</a> <a href="/NatureComms/">Nature Communications</a> 

"NuFold: end-to-end approach for RNA tertiary structure prediction with flexible nucleobase center representation"
Kihara Laboratory (@kiharalab) 's Twitter Profile Photo

"NuFold: end-to-end approach for RNA tertiary structure prediction with flexible nucleobase center representation" by Yuki Kagaya et al. is now out in Nature Communications ! This deep learning method played a key role in our 3rd place finish for RNA in CASP16. nature.com/articles/s4146…

"NuFold: end-to-end approach for RNA tertiary structure prediction with flexible nucleobase center representation" by Yuki Kagaya et al. is now out in <a href="/NatureComms/">Nature Communications</a> !
This deep learning method played a key role in our 3rd place finish for RNA in CASP16.
nature.com/articles/s4146…
Biology+AI Daily (@biologyaidaily) 's Twitter Profile Photo

NuFold: end-to-end approach for RNA tertiary structure prediction with flexible nucleobase center representation Nature Communications 1. NuFold is a novel deep learning-based framework that predicts RNA tertiary structures directly from sequence data, offering a breakthrough in RNA

NuFold: end-to-end approach for RNA tertiary structure prediction with flexible nucleobase center representation <a href="/NatureComms/">Nature Communications</a> 

1. NuFold is a novel deep learning-based framework that predicts RNA tertiary structures directly from sequence data, offering a breakthrough in RNA
Kihara Laboratory (@kiharalab) 's Twitter Profile Photo

Pictures from the CS graduate symposium last week. Swagarika Giri talked about her work on Go2Sum, protein function summarizer, and Daisuke Kihara was on a faculty panel discussion. cs.purdue.edu/gsa/symposium_…

Pictures from the CS graduate symposium last week. Swagarika Giri talked about her work on Go2Sum, protein function summarizer, and Daisuke Kihara was on a faculty panel discussion. cs.purdue.edu/gsa/symposium_…
Kihara Laboratory (@kiharalab) 's Twitter Profile Photo

Flash talk by Yuki Kagaya on the Nufold RNA structure prediction method presented at the CASP16 evaluation meeting: youtube.com/watch?v=IJOnVV… You can run Nufold at Google Colab: colab.research.google.com/github/kiharal… Nufold paper: nature.com/articles/s4146…

Kihara Laboratory (@kiharalab) 's Twitter Profile Photo

New paper online : Learning with Privileged Knowledge Distillation for Improved Peptide–Protein Docking, ACS Omega. The method, Distpepfold, uses student-teacher model to improve peptide docking over AF2. pubs.acs.org/doi/10.1021/ac…

New paper online : Learning with Privileged Knowledge Distillation for Improved Peptide–Protein Docking,  ACS Omega. The method, Distpepfold, uses student-teacher model to improve peptide docking over AF2.
 pubs.acs.org/doi/10.1021/ac…
Kihara Laboratory (@kiharalab) 's Twitter Profile Photo

New paper released! "Distance-AF improves predicted protein structure models by AlphaFold2 with user-specified distance constraints" Yuanyuan Zhang, Zicong Zhang, Y Kagaya, G Terashi, B Zhao, Y Xiong & D Kihara, Communications Biology. Communications Biology nature.com/articles/s4200…

New paper released! "Distance-AF improves predicted protein structure models by AlphaFold2 with user-specified distance constraints"  Yuanyuan Zhang, Zicong Zhang, Y Kagaya, G Terashi, B Zhao, Y Xiong &amp; D  Kihara, Communications Biology.   <a href="/CommsBio/">Communications Biology</a> nature.com/articles/s4200…
Kihara Laboratory (@kiharalab) 's Twitter Profile Photo

New paper:🧬 Queryome: A multi-agent AI system for biomedical literature analysis. Queryome is a deep research system with specialized LLM agents that orchestrate to a wide range of queries based on Pubmed citations. biorxiv.org/content/10.648… Try it: queryome.app

New paper:🧬 Queryome: A multi-agent AI system for biomedical literature analysis.
Queryome is a deep research system with specialized LLM agents that orchestrate to a wide range of queries based on Pubmed citations. 
biorxiv.org/content/10.648…
Try it: queryome.app