User profiles for Genki Terashi

Genki Terashi

Assistant research scientist, Department of Biological Sciences, Purdue University
Verified email at purdue.edu
Cited by 1611

Bioinformatic approaches for characterizing molecular structure and function of food proteins

H Helmick, A Jain, G Terashi, A Liceaga… - Annual Review of …, 2023 - annualreviews.org
Structural bioinformatics analyzes protein structural models with the goal of uncovering
molecular drivers of food functionality. This field aims to develop tools that can rapidly extract …

CryoREAD: de novo structure modeling for nucleic acids in cryo-EM maps using deep learning

X Wang, G Terashi, D Kihara - Nature Methods, 2023 - nature.com
DNA and RNA play fundamental roles in various cellular processes, where their three-dimensional
structures provide information critical to understanding the molecular mechanisms of …

Prediction of protein assemblies, the next frontier: The CASP14‐CAPRI experiment

…, P Lin, S Huang, C Christoffer, G Terashi… - Proteins: Structure …, 2021 - Wiley Online Library
We present the results for CAPRI Round 50, the fourth joint CASP‐CAPRI protein assembly
prediction challenge. The Round comprised a total of twelve targets, including six dimers, …

Residue-wise local quality estimation for protein models from cryo-EM maps

G Terashi, X Wang… - Nature …, 2022 - nature.com
An increasing number of protein structures are being determined by cryogenic electron
microscopy (cryo-EM). Although the resolution of determined cryo-EM density maps is improving …

Community-wide assessment of protein-interface modeling suggests improvements to design methodology

…, ONA Demerdash, M Takeda-Shitaka, G Terashi… - Journal of molecular …, 2011 - Elsevier
The CAPRI (Critical Assessment of Predicted Interactions) and CASP (Critical Assessment
of protein Structure Prediction) experiments have demonstrated the power of community-wide …

[HTML][HTML] Cryo-EM model validation recommendations based on outcomes of the 2019 EMDataResource challenge

…, M Shekhar, D Si, A Singharoy, G Terashi… - Nature …, 2021 - nature.com
This paper describes outcomes of the 2019 Cryo-EM Model Challenge. The goals were to (1)
assess the quality of models that can be produced from cryogenic electron microscopy (…

Blind prediction of homo‐and hetero‐protein complexes: The CASP13‐CAPRI experiment

…, C Christoffer, G Terashi… - Proteins: Structure …, 2019 - Wiley Online Library
We present the results for CAPRI Round 46, the third joint CASP‐CAPRI protein assembly
prediction challenge. The Round comprised a total of 20 targets including 14 homo‐oligomers …

[HTML][HTML] De novo main-chain modeling for EM maps using MAINMAST

G Terashi, D Kihara - Nature communications, 2018 - nature.com
An increasing number of protein structures are determined by cryo-electron microscopy (cryo-EM)
at near atomic resolution. However, tracing the main-chains and building full-atom …

[HTML][HTML] Real-time structure search and structure classification for AlphaFold protein models

…, V Bharadwaj, C Christoffer, G Terashi… - Communications …, 2022 - nature.com
Last year saw a breakthrough in protein structure prediction, where the AlphaFold2 method
showed a substantial improvement in the modeling accuracy. Following the software release …

Protein docking model evaluation by 3D deep convolutional neural networks

X Wang, G Terashi, CW Christoffer, M Zhu… - …, 2020 - academic.oup.com
Motivation Many important cellular processes involve physical interactions of proteins.
Therefore, determining protein quaternary structures provide critical insights for understanding …