kiharalab Goto Github PK
Name: Kihara Protein Bioinformatics Laboratory
Type: Organization
Bio: Software developed in the Kihara Lab
Location: Purdue University, IN, USA
Blog: http://kiharalab.org
Name: Kihara Protein Bioinformatics Laboratory
Type: Organization
Bio: Software developed in the Kihara Lab
Location: Purdue University, IN, USA
Blog: http://kiharalab.org
Two-Dimensional Krawtchouk Descriptors for Content Based Local Image Search
ACC-UNet is A Completely Convolutional UNet model inspired from transformer-based UNets
Embedding generation for Distance-AF using full MSA
Attention LSTM code for "Activation of gene expression by nucleosome detergents"
Making Protein folding accessible to all!
Embedding generation for Distance-AF
Making Protein folding accessible to all!
Contact map denoising using GANs
Protein function prediction based on predicted residue-residue contacts
CryoREAD: a computational tool using deep learning to automatically build full DNA/RNA atomic structure from cryo-EM map.
DAQ: Residue-Wise Local Quality Estimation for Protein Models from Cryo-EM Maps
DeepMainmast
DiffModeler: a diffusion model based protein complex structure modeling tool.
Public version for Distance-AF
Public version for DistPepFold
Domain-PFP is a self-supervised method to predict protein functions from the domains
A Deep-learning based dOcking decoy eValuation mEthod
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 is a computational tool to identify protein secondary structures
Emap2sec+: Detecting Protein and DNA/RNA Structures in Cryo-EM Maps of Intermediate Resolution Using Deep Learning
Code for "Protein Docking Model Evaluation by Graph Neural Networks"
The project of pocket prediction based on GNN model
GO2Sum is a deep learning based summarizer that generates human-readable summaries for GO term annotations made by protein function prediction methods.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.