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Kihara Protein Bioinformatics Laboratory's Projects

2dkd icon 2dkd

Two-Dimensional Krawtchouk Descriptors for Content Based Local Image Search

acc-unet icon acc-unet

ACC-UNet is A Completely Convolutional UNet model inspired from transformer-based UNets

af2_distaf icon af2_distaf

Embedding generation for Distance-AF using full MSA

attention_ad icon attention_ad

Attention LSTM code for "Activation of gene expression by nucleosome detergents"

contactpfp icon contactpfp

Protein function prediction based on predicted residue-residue contacts

cryoread icon cryoread

CryoREAD: a computational tool using deep learning to automatically build full DNA/RNA atomic structure from cryo-EM map.

daq icon daq

DAQ: Residue-Wise Local Quality Estimation for Protein Models from Cryo-EM Maps

diffmodeler icon diffmodeler

DiffModeler: a diffusion model based protein complex structure modeling tool.

domain-pfp icon domain-pfp

Domain-PFP is a self-supervised method to predict protein functions from the domains

dove icon dove

A Deep-learning based dOcking decoy eValuation mEthod

em-gan icon em-gan

EM-GAN is a computational tool, which enables capturing protein structure information from cryo-EM maps more effectively than raw maps. It is based on 3D deep learning. It is aimed to help protein structure modeling from cryo-EM maps.

emap2sec icon emap2sec

Emap2sec is a computational tool to identify protein secondary structures

emap2secplus icon emap2secplus

Emap2sec+: Detecting Protein and DNA/RNA Structures in Cryo-EM Maps of Intermediate Resolution Using Deep Learning

gnn_dove icon gnn_dove

Code for "Protein Docking Model Evaluation by Graph Neural Networks"

gnn_pocket icon gnn_pocket

The project of pocket prediction based on GNN model

go2sum icon go2sum

GO2Sum is a deep learning based summarizer that generates human-readable summaries for GO term annotations made by protein function prediction methods.

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