Alternatives and similar repositories for RL-MLZerD

Users that are interested in RL-MLZerD are comparing it to the libraries listed below

• Sundw-818 / DSR
  The code for NeurIPS 2023 paper DSR
  ☆13Updated last year
• binghong-ml / MolEvol
  Source code for ICLR 2021 paper: "Molecule Optimization by Explainable Evolution"
  ☆30Updated 4 years ago
• KeatingLab / PixelDB
  ☆13Updated 7 years ago
• haddocking / binding-affinity-benchmark
  Protein-protein binding affinity benchmark
  ☆15Updated 6 months ago
• zhenglz / OnionNet-SFCT
  Improving protein–ligand docking and screening accuracies by incorporating a scoring function correction term
  ☆28Updated 9 months ago
• mgreenig / IgCraft
  Versatile human antibody sequence design
  ☆18Updated 3 months ago
• HeliXonProtein / proximal-exploration
  PyTorch implementation for our paper "Proximal Exploration for Model-guided Protein Sequence Design"
  ☆36Updated 2 years ago
• AspirinCode / GENiPPI
  Interface-aware molecular generative framework for protein-protein interaction modulators
  ☆15Updated 8 months ago
• LDeng0205 / confidence-bootstrapping
  Implementation of the Confidence Bootstrapping procedure for protein-ligand docking.
  ☆26Updated last year
• Kuhlman-Lab / PIPPack
  Implementation of Protein Invariant Point Packer (PIPPack)
  ☆35Updated last year
• strauchlab / scaffold_design
  ☆18Updated last year
• MattMcPartlon / protein-docking
  Code for "A Deep Learning Framework for Flexible Docking and Design"
  ☆16Updated 2 years ago
• ohuelab / Solubility_AfDesign
  Controlling the usage of hydrophobic residues on AfDesign for binder peptide design with AlphaFold hallucination protocol
  ☆32Updated 2 years ago
• lupoglaz / DeepLocalProteinDocking
  Learning protein representation for rigid-body docking
  ☆22Updated 5 years ago
• CarbonMatrixLab / AbX
  Official open-source of Antibody Design Using a Score-based Diffusion Model Guided by Evolutionary, Physical, and Geometric Constraints
  ☆39Updated 2 months ago
• kthrn22 / Predict-Binding-Affinity-using-GNN
  Predict binding affinity of ligand-protein complexes using Graph Neural Networks. The model is implemented using PyTorch Geometric and ba…
  ☆12Updated 2 years ago
• psalveso / pyRIF
  Using Rotamer Interaction Fields from RIFGen/Dock in python
  ☆16Updated 4 years ago
• sarisabban / RMSD
  Calculate the RMSD between two protein structures
  ☆12Updated 3 years ago
• ElwynWang / DeepFragLib
  ☆29Updated 5 years ago
• HankerWu / TamGent
  Tailoring Molecules for Protein Pockets: a Transformer-based Generative Solution for Structured-based Drug Design
  ☆20Updated 2 years ago
• sarpaykent / GBPNet
  ☆20Updated 3 years ago
• compbiomed-unito / acdc-nn
  ☆21Updated 2 years ago
• lamm-mit / ProteinMechanicsDiffusionDesign
  ☆28Updated last year
• strauchlab / iNNterfaceDesign
  ☆20Updated 2 years ago
• oxpig / PointVS
  SE(3)-equivariant point cloud networks for virtual screening
  ☆11Updated 2 years ago
• capoe / libpqr
  Bias-controlled 3D generative framework for structure-based ligand design
  ☆17Updated 2 years ago
• Shen-Lab / gcWGAN
  Guided Conditional Wasserstein GAN for De Novo Protein Design
  ☆37Updated 4 years ago
• Furman-Lab / Peptide_docking_with_AF2_and_RosettAfold
  Code and data used in https://doi.org/10.1101/2021.08.01.454656
  ☆53Updated 3 years ago
• anton-bushuiev / PPIformer
  Learning to design protein-protein interactions with enhanced generalization (ICLR 2024)
  ☆46Updated 7 months ago
• Immortals-33 / Scaffold-Lab
  A comprehensive benchmark on the performances of multiple protein backbone generative models.
  ☆64Updated 3 months ago