Genki Terashi

Assistant Research Scientist @Purdue University My research projects: Protein structure modeling, prediction, Protein structure Modeling from cryoEM data.

[Genki Terashi @GTerashi]

Very excited to share our new paper DAQ-score, just published in @naturemethods .
Our deep learning method can estimate the local quality of the protein structure model from cryo-EM data.
DAQ is available on Google Colab:
https://t.co/1CvPpCtS1B
Paper:
https://t.co/V0RIjs9ZoT

[Genki Terashi @GTerashi]

Another new preprint of DMcloud, our cryo-EM modeling method for medium- to low-resolution maps. DMcloud uses local model fitting to place compatible protein or DNA/RNA models into enhanced EM maps. https://t.co/PdGAkGZNRK

[Genki Terashi @GTerashi]

Our recent preprint introduces DAQplugin, a ChimeraX plugin for interactive residue-wise validation of cryo-EM protein models. DAQplugin brings DAQ scoring directly into model inspection on your laptop. https://t.co/G4wZvFIdj9

[Kihara Laboratory @kiharalab]

We will host a ~30 min webinar introducing EM-server for cryo-EM structure modeling on May 6 (Wed) 12:30pm (Eastern Time). Will introduce DAQ-Score plugin & CryoZeta.
EM-Server: https://t.co/zCv7L2LFcI
Registration link: https://t.co/xx9H6Q9d0D
Hope to see you there!

[Daisuke Kihara @d_kihara]

うちのラボで作成、管理している電顕のための生体高分子のモデリングツールのウェブサイト、EM-Serverのウェビナーを行います。最近のツール２点を中心にお話します。
日本時間だと深夜１時半ですが、３０分と短いので遅くまで起きてる方は参加をお待ちしております。
https://t.co/U2P2MHU2SH

[Kihara Laboratory @kiharalab]

New collaboration paper with Bou-Abdallah lab just released! Multivalent recognition of ferritin by full-length NCOA4 enables robust ferritinophagy, Srivastava, @GTerashi et al., Protein Science
https://t.co/LaALPOaxfm

[Kihara Laboratory @kiharalab]

We have a postdoc opening. Please check
https://t.co/uZSf9Rimoa

[Genki Terashi @GTerashi]

Our new book chapter has just been published!

In this chapter, we introduce our recent work in computational structural biology and practical applications of our tools available on https://t.co/oLD3xvFnLR.
You can read the chapter here:
https://t.co/qdtNdzmV9r

[Kihara Laboratory @kiharalab]

We’ve rebuilt our Protein Function Prediction server!
New:
• Domain-PFP: self-supervised, domain-aware function prediction
• GO2Sum: converts GO terms into UniProt-style functional summaries
All methods (PFP, Phylo-PFP, ESG) now in one interface.
https://t.co/ROdnXR1Yth

[Dongwook Kim @dwkimdencoda]

Intellicule is hiring a part-time Software Engineer to advance our computational biology tools for protein design, nanobody engineering, and Cryo electron microscopy (cryo-EM) based drug discovery.
Submit resume and cover letter to [email protected]

[Kihara Laboratory @kiharalab]

New collaboration paper with the Bou-Abdallah lab at SUNY Potsdam: "Ferritin iron uptake and oxidation are dynamically modulated by nucleotide phosphate architecture via electrostatic gating", International Journal of Biological Macromolecules. https://t.co/Pu31TpKizk

[bioRxiv Bioinfo @biorxiv_bioinfo]

Accurate Macromolecular Complex Modeling for Cryo-EM with CryoZeta https://t.co/4J38NQmOZr #biorxiv_bioinfo

[Kihara Laboratory @kiharalab]

🚀 First DAQ-Score DB update of 2026 is live!
Cryo-EM protein model quality evaluations now cover 266,577 protein chains.
🔗 https://t.co/Anv8eyCiTT
🏁Check out also our New ChimeraX plugin! It lets you check DAQ scores during modeling!
https://t.co/q98zmpLoLq

[Daisuke Kihara @d_kihara]

DAQ-Score、新春アップデート第一弾🎍
ChimeraXプラグインも作りました！
モデリングしながらDAQ-Scoreをinteractiveに確認できます。ぜひ論文で構造バリデーションにご利用ください。

[Genki Terashi @GTerashi]

DAQ for ChimeraX is now released! DAQplugin computes residue-wise DAQ scores directly in ChimeraX. By comparing cryo-EM maps with atomic models, users can quickly identify potential problems, such as sequence shifts or incorrectly assigned residues.
https://t.co/yUCjzK1Va1

[Kihara Laboratory @kiharalab]

December Update of DAQ-Score DB! Quality evaluations of protein models from cryo-EM. Now includes evaluation of 258,956 protein chains. Check at https://t.co/MmQzn1BJjk
It is very easy to compute DAQ for your protein model: https://t.co/oXoKmREBZX

[Kihara Laboratory @kiharalab]

New paper in collaboration with Jinghui Luo lab at PSI Paul Scherrer Inst. "Structural Insights and Functional Dynamics of β-Lactoglobulin Fibrils", @NanoLetters
We used DeepMainmast for structure modeling.
https://t.co/OYae5itpV6

[Purdue Institute for Cancer Research @PUCancerInst]

🔬 *Advancing Precision Medicine* 🗞️
Congrats to Purdue Institute for Cancer Research member Daisuke Kihara and his team at Intellicule on receiving a Small Business Innovation Research Phase I grant from the @NIH.

The project aims to expand and advance structural modeling and analysis for drug discovery using cryo-EM by utilizing state-of-the-art deep-learning techniques, helping scientists design better, more targeted treatments for cancer and other diseases. https://t.co/vLRev6JkIN

[Purdue Innovates @PurdueInnovates]

Intellicule, which licenses @LifeAtPurdue intellectual property, has received a $217K SBIR grant from the @NIH to develop software that could impact precision medicine.

Read more about it: https://t.co/6adK1DuMCW

#Purdue #PurdueInnovates

[The Postdoctoral @thepostdoctoral]

Intellicule receives NIH grant to develop biomolecular modeling software - Purdue University - Kihara is a professor of biological sciences and computer science in Purdue University's College of Science. He also is a member of the Purdue ... - https://t.co/244XIdqQRJ

[さ お り @saoresearch]

博士号取得を目指す50歳以上の方に向けた支援事業です。国籍、性別、文系理系を問わないそうです。締切は12月5日です。

https://t.co/KTfSd4ddSe