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Nature Methods|December 8, 2023
DeepMainmast: integrated protocol of protein structure modeling for cryo-EM with deep learning and structure predictionGenki Terashi, Xiao Wang, Devashish Prasad, et al.
Nature Methods|October 21, 2024
DiffModeler: large macromolecular structure modeling for cryo-EM maps using a diffusion modelXiao Wang, Han Zhu, Genki Terashi, et al.
Bioinformatics (Oxford, England)|November 21, 2019
Protein docking model evaluation by 3D deep convolutional neural networksXiao Wang, Genki Terashi, Charles W Christoffer, et al.
Plos Computational Biology|April 11, 2017
Modeling disordered protein interactions from biophysical principlesLenna X Peterson, Amitava Roy, Charles Christoffer, et al.
Biorxiv : the Preprint Server for Biology|October 31, 2023
Integrated Protocol of Protein Structure Modeling for Cryo-EM with Deep Learning and Structure PredictionGenki Terashi, Xiao Wang, Devashish Prasad, et al.
Protein Science : a Publication of the Protein Society|July 12, 2024
Unveiling the stochastic nature of human heteropolymer ferritin self-assembly mechanismFadi Bou-Abdallah, Jeremie Fish, Genki Terashi, et al.
Bioinformatics (Oxford, England)|March 31, 2021
Protein contact map refinement for improving structure prediction using generative adversarial networksSai Raghavendra Maddhuri Venkata Subramaniya, Genki Terashi, Aashish Jain, et al.
Communications Biology|October 1, 2025
Distance-AF improves predicted protein structure models by AlphaFold2 with user-specified distance constraintsYuanyuan Zhang, Zicong Zhang, Yuki Kagaya, et al.
Biorxiv : the Preprint Server for Biology|December 18, 2023
Distance-AF: Modifying Predicted Protein Structure Models by Alphafold2 with User-Specified Distance ConstraintsYuanyuan Zhang, Zicong Zhang, Yuki Kagaya, et al.
Scientific Reports|April 8, 2021
Analyzing effect of quadruple multiple sequence alignments on deep learning based protein inter-residue distance predictionAashish Jain, Genki Terashi, Yuki Kagaya, et al.
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