Alternatives and similar repositories for BMI219-2017-ProteinFolding

Users that are interested in BMI219-2017-ProteinFolding are comparing it to the libraries listed below

• pfnet-research / hierarchical-molecular-learning
  Implementation of "Semi-supervised learning of hierarchical representations of molecules using neural message passing" (arXiv:1711.10168)
  ☆14Updated 6 years ago
• bhi-kimlab / DeepFam
  Deep learning based alignment-free method for protein family modeling and prediction
  ☆16Updated 6 years ago
• AllanSCosta / semantic-protein-folding
  Experiments in protein folding through language modeling
  ☆10Updated 3 years ago
• googleinterns / protein-embedding-retrieval
  ☆34Updated 4 years ago
• duolinwang / CapsNet_PTM
  CapsNet for Protein Post-translational Modification site prediction.
  ☆25Updated 5 years ago
• wentaozhu / protein-cascade-cnn-lstm
  Implementation of IJCAI15 cascade cnn and LSTM for protein secondary structure prediction
  ☆37Updated 8 years ago
• songlab-cal / mogwai
  ☆25Updated 3 years ago
• startcrowd / DiversityNet
  A molecule generation benchmarking platform
  ☆13Updated 7 years ago
• xypan1232 / iDeepV
  iDeepV: predicting RBP binding sites using vector representation learned from sequences with a CNN.
  ☆10Updated 5 years ago
• ddofer / asap
  Amino-Acid Sequence Annotation Predictor (ASAP)
  ☆25Updated 5 years ago
• JinLi711 / UTGN
  Universal Transforming Geometric Network for protein structure prediction.
  ☆8Updated 4 years ago
• ehsanasgari / DeepPrime2Sec
  ☆27Updated 2 years ago
• momeara / DeepSEA
  Similarity Ensemble Approach with deep learning substance fingerprints
  ☆61Updated 8 years ago
• kexinhuang12345 / DrugDataResource
  Datasets for Drug Discovery and Development
  ☆9Updated 4 years ago
• mdtraj / tftraj
  Molecular dynamics trajectory analysis in Tensorflow
  ☆37Updated 7 years ago
• bioinf-jku / interpretable_ml_drug_discovery
  Interpreting graph convolutional filters of target prediction network
  ☆48Updated 6 years ago
• mitmedialab / Evolutron
  A mini-framework to build and train neural networks for molecular biology.
  ☆10Updated 7 years ago
• yotamfr / prot2vec
  protein embedding project
  ☆12Updated 7 years ago
• deepchem / deepdock
  An experimental package for deep learning for molecular docking
  ☆20Updated 5 years ago
• proteneer / khan
  ☆11Updated 6 years ago
• minxueric / ismb2017_lstm
  Chromatin Accessibility Prediction via Convolutional Long Short-Term Memory Networks with k-mer Embedding
  ☆14Updated 6 years ago
• chennnnnyize-zz / Generative-Molecules
  ☆31Updated 6 years ago
• chaoyan1037 / Re-balanced-VAE
  Code for our paper Re-balancing Variational Autoencoder Loss for Molecule Sequence Generation.
  ☆11Updated 2 years ago
• CSBG-LSU / BionoiNet
  Pytorch implementation of BionoiNet, which is a deep learning-based software to classify ligand-binding sites.
  ☆20Updated 3 years ago
• PatWalters / dissecting_hype
  Code to accompany my blog post "Dissecting the Hype With Cheminformatics"
  ☆12Updated 5 years ago
• kheyer / Deep-Synthesis
  A deep learning framework for predicting chemical synthesis
  ☆23Updated 9 months ago
• LamUong / Generate-novel-molecules-with-LSTM
  Novel molecules generation with LSTM
  ☆17Updated 4 years ago
• XuanLin1991 / DeepGS
  DeepGS: Deep Representation Learning of Graphs and Sequences for Drug-Target Binding Affinity Prediction (ECAI 2020)
  ☆26Updated 4 years ago
• Bhattacharya-Lab / PolyFold
  An interactive visual simulator for distance-based protein folding
  ☆24Updated 4 years ago
• rasbt / siteinterlock
  A novel approach to pose selection in protein-ligand docking based on graph theory.
  ☆20Updated 8 years ago