Alternatives and similar repositories for paccmann_datasets

Users that are interested in paccmann_datasets are comparing it to the libraries listed below

• aqlaboratory / hsm
  Code associated with "Biophysical prediction of protein-peptide interactions and signaling networks using machine learning."
  ☆70Updated last year
• BioinfoMachineLearning / DeepInteract
  A geometric deep learning framework (Geometric Transformers) for predicting protein interface contacts. (ICLR 2022)
  ☆64Updated 3 years ago
• eliberis / parapred
  Paratope Prediction using Deep Learning
  ☆60Updated 2 years ago
• brianhie / uncertainty
  Learning with uncertainty for biological discovery and design
  ☆34Updated 2 years ago
• PaccMann / paccmann_rl
  Code pipeline for the PaccMann^RL in iScience: https://www.cell.com/iscience/fulltext/S2589-0042(21)00237-6
  ☆33Updated 3 years ago
• xinformatics / alphafold
  Open source code for AlphaFold to extract protein embeddings
  ☆27Updated 4 years ago
• IBM / controlled-peptide-generation
  source code for https://arxiv.org/abs/2005.11248 "Accelerating Antimicrobial Discovery with Controllable Deep Generative Models and Molec…
  ☆105Updated 2 years ago
• ba-lab / pdnet
  PDNET: A fully open-source framework for deep learning protein real-valued distances
  ☆36Updated 4 years ago
• cansyl / DEEPScreen
  DEEPScreen: Virtual Screening with Deep Convolutional Neural Networks Using Compound Images
  ☆113Updated last year
• aced125 / AI_in_Drug_Discovery_Progress
  An up-to-date list of papers and code relating to progress in the burgeoning field of AI-Drug Discovery
  ☆43Updated 5 years ago
• ostrokach / proteinsolver
  Graph neural network for generating novel amino acid sequences that fold into proteins with predetermined topologies.
  ☆60Updated 4 years ago
• Shen-Lab / gcWGAN
  Guided Conditional Wasserstein GAN for De Novo Protein Design
  ☆37Updated 4 years ago
• IBM / fold2seq
  Code for Fold2Seq paper from ICML 2021
  ☆50Updated 3 years ago
• ml-jku / lsc
  Large-scale comparison of machine learning methods for drug target prediction on ChEMBL
  ☆35Updated 4 years ago
• drorlab / DIPS
  Database of Interacting Protein Structures (DIPS)
  ☆102Updated last year
• MachineLearningLifeScience / meaningful-protein-representations
  ☆110Updated 3 years ago
• shenwanxiang / ChemBench
  MoleculeNet benchmark dataset & MolMapNet dataset
  ☆63Updated 3 years ago
• skinnider / low-data-generative-models
  ☆20Updated 4 years ago
• psipred / protein-vae
  Variational autoencoder for protein sequences - add metal binding sites and generate sequences for novel topologies
  ☆88Updated 2 years ago
• learningmatter-mit / peptimizer
  Peptide optimization with Machine Learning
  ☆77Updated 2 years ago
• insilicomedicine / BiAAE
  Molecular Generation for Desired Transcriptome Changes with Adversarial Autoencoders
  ☆53Updated 5 years ago
• kiharalab / GNN_DOVE
  Code for "Protein Docking Model Evaluation by Graph Neural Networks"
  ☆59Updated 2 years ago
• cansyl / MDeePred
  Multi-Channel Deep Chemogenomic Modeling of Receptor-Ligand Binding Affinity Prediction for Drug Discovery
  ☆28Updated 4 years ago
• tadorfer / protlearn
  A Python package for extracting protein sequence features
  ☆59Updated 3 years ago
• sirimullalab / DLSCORE
  DLSCORE: A deep learning based scoring function for predicting protein-ligand binding affinity
  ☆48Updated 2 years ago
• kiharalab / DOVE
  A Deep-learning based dOcking decoy eValuation mEthod
  ☆57Updated 2 years ago
• BenevolentAI / DeeplyTough
  DeeplyTough: Learning Structural Comparison of Protein Binding Sites
  ☆166Updated 2 years ago
• sarisabban / RamaNet
  Preforms De novo protein design using machine learning and PyRosetta to generate a novel protein structure
  ☆52Updated 5 months ago
• ericmjl / protein-interaction-network
  Computes a molecular graph for protein structures.
  ☆58Updated last month
• PaccMann / paccmann_proteomics
  PaccMann models for protein language modeling
  ☆43Updated 3 years ago