rickyHong / DeepMind-alphafold-replLinks
https://github.com/deepmind/deepmind-research
☆44Updated 6 years ago
Alternatives and similar repositories for DeepMind-alphafold-repl
Users that are interested in DeepMind-alphafold-repl are comparing it to the libraries listed below
Sorting:
- Generation and Classification of Drug Like molecule usings Neural Networks☆65Updated 6 years ago
- https://moalquraishi.wordpress.com/2018/12/09/alphafold-casp13-what-just-happened/☆50Updated 6 years ago
- Protein function prediction using a variational autoencoder☆94Updated 7 years ago
- Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different dom…☆120Updated 4 years ago
- Code for the paper: ChemGAN challenge for drug discovery: can AI reproduce natural chemical diversity? arXiv preprint arXiv:1708.08227.☆113Updated 2 years ago
- Implementation of the paper - Generative Recurrent Networks for De Novo Drug Design.☆117Updated 2 years ago
- A PyTorch framework for prediction of tertiary protein structure☆188Updated 4 years ago
- ☆34Updated 4 years ago
- This repository contains code for reproducing results in our paper Interpreting Potts and Transformer Protein Models Through the Lens of …☆58Updated 2 years ago
- Gold medal #2 Kaggle "Predicting Molecular Properties" compatition☆61Updated 6 years ago
- ☆61Updated 6 years ago
- ☆53Updated 8 years ago
- ☆152Updated 5 years ago
- End-to-end guide design for CRISPR/Cas9 with machine learning☆134Updated 2 years ago
- Similarity Ensemble Approach with deep learning substance fingerprints☆61Updated 9 years ago
- MiniFold: Deep Learning for Protein Structure Prediction inspired by DeepMind AlphaFold algorithm☆211Updated 4 years ago
- Protein order and disorder data for Keras, Tensor Flow and Edward frameworks with automated update cycle made for continuous learning app…☆169Updated 3 years ago
- Deep learning based alignment-free method for protein family modeling and prediction☆16Updated 7 years ago
- A mini-framework to build and train neural networks for molecular biology.☆10Updated 7 years ago
- Recurrent Geometric Networks for end-to-end differentiable learning of protein structure☆326Updated 6 years ago
- Predicting protein structure through sequence modeling☆111Updated 5 years ago
- Prediction of protein contact map☆20Updated 4 years ago
- EnzyNet: enzyme classification using 3D convolutional neural networks on spatial representation☆208Updated 2 years ago
- Objective-Reinforced Generative Adversarial Networks (ORGAN) for Sequence Generation Models☆240Updated 2 years ago
- This repository contains the code, and access to the pretrained models and datasets for the paper: "Automated analysis of high-content mi…☆50Updated 8 years ago
- Interpreting graph convolutional filters of target prediction network☆48Updated 6 years ago
- ULMFiT for Genomic Sequence Data☆286Updated 5 years ago
- PyTorch library of layers acting on protein representations☆119Updated last year
- ☆51Updated 5 years ago
- Molecular Generation for Desired Transcriptome Changes with Adversarial Autoencoders☆53Updated 5 years ago