Alternatives and similar repositories for Point-Cloud

Users that are interested in Point-Cloud are comparing it to the libraries listed below

• zchwang / DeepRMSD-Vina_Optimization
  DeepRMSD+Vina is a computational framework that integrates ligand binding pose optimization and screening.
  ☆42Updated last year
• zchwang / OnionNet-2
  OnionNet-2 is constructed based on convolutional neural network (CNN) to predict the protein-ligand binding affinity.
  ☆18Updated last year
• ComputArtCMCG / PLANET
  ☆58Updated last year
• oxpig / DEVELOP
  ☆55Updated last year
• briandasantini / cPEPmatch
  Tool to design cyclic peptides that mimic proteins and target their binding partners.
  ☆12Updated 10 months ago
• tiantz17 / PocketAnchor
  Learning Structure-based Pocket Representations for Protein-Ligand Interaction Prediction
  ☆33Updated last year
• stonewiseAIDrugDesign / Lingo3DMol
  ☆54Updated last year
• micahwang / RELATION
  ☆16Updated 2 years ago
• mseok / PIGNet2
  Official implementation of "PIGNet2: a versatile deep learning-based proteinligand interaction prediction model for binding affinity scor…
  ☆18Updated 3 months ago
• zjujdj / InteractionGraphNet
  InteractionGraphNet: a Novel and Efficient Deep Graph Representation Learning Framework for Accurate Protein-Ligand Interaction Predictio…
  ☆44Updated last year
• drorlab / FRAME
  Fragment-based Molecular Expansion
  ☆20Updated last year
• guaguabujianle / GIGN
  ☆43Updated last year
• akiyamalab / cycpeptmp
  Implementation of CycPeptMP, an accurate and efficient model for predicting the membrane permeability of cyclic peptides
  ☆21Updated last week
• j9650 / MedusaGraph
  ☆28Updated 2 years ago
• THGLab / LP-PDBBind
  ☆40Updated last year
• huhlim / alphafold-multistate
  ☆37Updated last year
• sun-heqi / MultiPPIMI
  A deep learning framework for predicting interactions between protein-protein interaction targets and modulators
  ☆14Updated last year
• Zhang-Runze / PackDock
  PackDock: a Diffusion Based Side Chain Packing Model for Flexible Protein-Ligand Docking
  ☆34Updated 7 months ago
• pengxingang / PocketXMol
  Implementation of PocketXMol, the pocket-interacting molecular generative foundation model.
  ☆39Updated this week
• MatthewMasters / EDM-Dock
  ☆32Updated 2 years ago
• hongliangduan / HighFold
  ☆23Updated last year
• Chokyotager / NotYetAnotherNightshade
  Graph variational encoders for drug engineering and potentiation
  ☆29Updated last year
• jacquesboitreaud / OptiMol
  Optimization of binding affinities in chemical space for drug discovery
  ☆36Updated 2 years ago
• zchwang / IGModel
  This is the first model that can simultaneously predict the RMSD of the ligand docking pose and the binding strength against the target.
  ☆18Updated 4 months ago
• cyangNYU / delta_LinF9_XGB
  ☆14Updated 2 years ago
• tiejundong / FlexPose
  FlexPose, a framework for AI-based flexible modeling of protein-ligand binding pose.
  ☆54Updated last year
• karanicolaslab / PROTAC_ternary
  ☆18Updated 2 years ago
• Brian-hongyan / 3D-MCTS
  3D-MCTS: A general structure-based molecule generation method with MCTS.
  ☆42Updated 10 months ago
• biomed-AI / DRlinker
  ☆24Updated 2 years ago
• zhaoqichang / AttentionDTA_TCBB
  AttentionDTA: drug--target binding affinity prediction by sequence-based deep learning with attention mechanism
  ☆12Updated 3 years ago