Kihara Laboratory (@kiharalab) 's Twitter Profile
Kihara Laboratory

@kiharalab

Bioinformatics, protein modeling, cryoEM, drug screening, function prediction. Daisuke Kihara, professor of Biol/CS, Purdue U. YouTube: alturl.com/gxvah

ID: 271156299

linkhttp://kiharalab.org calendar_today23-03-2011 23:49:17

1,1K Tweet

2,2K Followers

2,2K Following

Communications Biology (@commsbio) 's Twitter Profile Photo

Domain-PFP allows protein function prediction using function-aware domain embedding representations nature.com/articles/s4200…

Purdue Exponent (@purdueexponent) 's Twitter Profile Photo

Researchers in Purdue’s College of Science have created a program named NuFold, which will help progress RNA research by over a decade. purdueexponent.org/campus/general…

Kihara Laboratory (@kiharalab) 's Twitter Profile Photo

Join our webinar on Cryo-EM modeling tools at SBgrid tomorrow (6/10), 12pm EST! "DiffModeler & CryoREAD: Macromolecular and Nucleic Acid Structure Modeling for Cryo-EM Maps", by @gterashi sbgrid.org/webinars/

Yuki Kagaya, Ph.D. (@ykagaya93) 's Twitter Profile Photo

A recent paper on the RNA benchmark dataset, RNAGym, revealed that our NuFold outperforms other methods in predicting RNA 3D structures! Our NuFold is publicly available on our GitHub for everyone! NuFold paper: nature.com/articles/s4146… Code: github.com/kiharalab/NuFo…

A recent paper on the RNA benchmark dataset, RNAGym, revealed that our NuFold outperforms other methods in predicting RNA 3D structures!
Our NuFold is publicly available on our GitHub for everyone!

NuFold paper: nature.com/articles/s4146…
Code: github.com/kiharalab/NuFo…
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…
Pascal Notin (@notinpascal) 's Twitter Profile Photo

🌀 Tertiary structure: 215 diverse 3D structures from recent PDB entries. NuFold leads monomers (0.393 TM-score), AlphaFold3 dominates complexes (0.381 TM-score). Non-Watson-Crick interactions remain a major challenge for all methods 6/9

🌀 Tertiary structure: 215 diverse 3D structures from recent PDB entries. NuFold leads monomers (0.393 TM-score), AlphaFold3 dominates complexes (0.381 TM-score). Non-Watson-Crick interactions remain a major challenge for all methods
6/9
Kihara Laboratory (@kiharalab) 's Twitter Profile Photo

DAQ cryo-EM structure validation score mentioned in the PDBj seminar at the Annual Mtg of Protein Science Society of Japan. You can select protein models from cryo-EM with sufficient DAQ in PDBj pdbj.org Quick intro of DAQ: youtube.com/watch?v=YRAT98…

DAQ cryo-EM structure validation score mentioned in the PDBj seminar at the Annual Mtg of Protein Science Society of Japan. You can select protein models from cryo-EM with sufficient DAQ in PDBj pdbj.org
Quick intro of DAQ: youtube.com/watch?v=YRAT98…
Kihara Laboratory (@kiharalab) 's Twitter Profile Photo

Han Zhu from @purduecs presenting a collaboration project with KEK, Japan at the Annual Meeting of the Protein Science Society of Japan. "Automated Mask Creation and Class Selection in Single Particle Analysis".

Han Zhu from @purduecs presenting a collaboration project with KEK, Japan at the Annual Meeting of the Protein Science Society of Japan.  "Automated Mask Creation and Class Selection in Single Particle Analysis".
Kihara Laboratory (@kiharalab) 's Twitter Profile Photo

Distpepfold, our new peptide docking method is available as a source code and Google Colab notebook! Paper: pubs.acs.org/doi/10.1021/ac… Github: github.com/kiharalab/Dist… Google Colab: colab.research.google.com/drive/1Q1ecUy2…

Distpepfold, our new peptide docking method is available as a source code and Google Colab notebook!
Paper: pubs.acs.org/doi/10.1021/ac…
Github: github.com/kiharalab/Dist…
Google Colab: colab.research.google.com/drive/1Q1ecUy2…
Kihara Laboratory (@kiharalab) 's Twitter Profile Photo

New book chapter online: Translating a GO Term List to Human Readable Function Description Using GO2Sum by Swagarika Jaharlal Giri Udayan Pandey, joonhongpark & Daisuke Kihara Methods in Mol. Biol. The server is available kiharalab.org/go2sum_server/ link.springer.com/protocol/10.10…

New book chapter online: Translating a GO Term List to Human Readable Function Description Using GO2Sum by <a href="/GiriSwagarika/">Swagarika Jaharlal Giri</a> Udayan Pandey, <a href="/joonhongpark111/">joonhongpark</a> &amp; <a href="/d_kihara/">Daisuke Kihara</a> Methods in Mol. Biol. 
The server is available kiharalab.org/go2sum_server/ 
link.springer.com/protocol/10.10…
Kihara Laboratory (@kiharalab) 's Twitter Profile Photo

Happy July the 4th! DAQ-Score DB, cryo-EM model quality assessment DB is updated in the meantime - now for 246,454 PDB chains from 16,519 EM maps. Now Cross Corr + overlap value is provided as a str fitting metric. daqdb.kiharalab.org

Happy July the 4th! DAQ-Score DB, cryo-EM model quality assessment DB is updated in the meantime - now for 246,454 PDB chains from 16,519 EM maps. Now Cross Corr + overlap value is provided as a str fitting metric. daqdb.kiharalab.org
Kihara Laboratory (@kiharalab) 's Twitter Profile Photo

Dr. Eman Alnabati who did her PhD in our lab at Purdue Computer Science is featured by the Saudi Press Agency in a short video. She is now a postdoc at MIT. Great work, Eman!

Kihara Laboratory (@kiharalab) 's Twitter Profile Photo

Joon Hong Park from Purdue Computer Science at American Crystallographic Association (ACA) 2025 meeting. presenting his poster about our cryo-EM structure modeling server. Visit the server for easy and accurate modeling at em.kiharalab.org

Joon Hong Park from <a href="/PurdueCS/">Purdue Computer Science</a> at American Crystallographic Association (ACA) 2025 meeting. presenting his poster  about our cryo-EM structure modeling server.  
Visit the server for easy and accurate modeling at  em.kiharalab.org
Daisuke Kihara (@d_kihara) 's Twitter Profile Photo

At ACA2025 in Chicago, I presented about our DAQ cryo-EM model quality score. アメリカ結晶学会で、電顕からの構造モデルのエラー評価スコア、DAQについて発表しました。ぜひ使ってみてください。 Available at em.kiharalab.org/algorithm/daqs… Quick YouTube tutorial: youtube.com/watch?v=YRAT98…

At ACA2025 in Chicago, I presented about our DAQ cryo-EM model quality score. 
アメリカ結晶学会で、電顕からの構造モデルのエラー評価スコア、DAQについて発表しました。ぜひ使ってみてください。
Available at em.kiharalab.org/algorithm/daqs…
Quick YouTube tutorial: youtube.com/watch?v=YRAT98…
Kihara Laboratory (@kiharalab) 's Twitter Profile Photo

New paper accepted: "Structure Modeling Protocols for Protein Multimer and RNA in CASP16 with Enhanced MSAs, Model Ranking, and Deep Learning" Yuki Kagaya et al., Proteins. This reports our strategies in CASP. The initial submission available at ggnpreprints.authorea.com/doi/full/10.22…