Alternatives and similar repositories for LC-PLM:

Users that are interested in LC-PLM are comparing it to the libraries listed below

• leojklarner / Q-SAVI
  Drug Discovery under Covariate Shift with Domain-Informed Prior Distributions over Functions
  ☆24Updated last year
• NVlabs / protcomposer
  ☆28Updated 3 weeks ago
• leojklarner / context-guided-diffusion
  Code for the paper Context-Guided Diffusion for Out-of-Distribution Molecular and Protein Design
  ☆36Updated 8 months ago
• masa-ue / ProDifEvo-Refinement
  Evolutionary Algorithm with Diffusion Models for Protein Design
  ☆17Updated last month
• phermosilla / IEConv_proteins
  Intrinsic-Extrinsic Convolution and Pooling for Learning on 3D Protein Structures
  ☆48Updated 3 years ago
• GT4SD / multitask_text_and_chemistry_t5
  Code for "Unifying Molecular and Textual Representations via Multi-task Language Modelling" @ ICML 2023
  ☆37Updated 6 months ago
• Dunni3 / keypoint-diffusion
  A diffusion model for structure-based drug design with faster inference from learned representations of protein structure.
  ☆28Updated last year
• ml-jku / hyper-dti
  HyperPCM: Robust task-conditioned modeling of drug-target interactions
  ☆36Updated 5 months ago
• Minys233 / Dynaformer
  ☆31Updated 9 months ago
• zhiqiangzhongddu / KDD2023_KaGML_DrugDiscovery_Tutorial
  Materials for KDD2023 tutorial: Knowledge-augmented Graph Machine Learning for Drug Discovery: from Precision to Interpretability
  ☆21Updated last year
• chao1224 / ProteinDT
  A Text-guided Protein Design Framework, Nat Mach Intell 2025
  ☆56Updated 2 months ago
• chao1224 / MoleculeSDE
  A Group Symmetric Stochastic Differential Equation Model for Molecule Multi-modal Pretraining, ICML'23
  ☆32Updated last year
• VITA-Group / HotProtein
  [ICLR 2023] "HotProtein: A Novel Framework for Protein Thermostability Prediction and Editing" by Tianlong Chen*, Chengyue Gong*, Daniel …
  ☆30Updated 2 years ago
• aws-samples / eggnet-equivariant-graph-of-graph-neural-network
  ☆10Updated last year
• Profluent-Internships / MMDiff
  Joint Sequence-Structure Generation of Nucleic Acid and Protein Complexes with SE(3)-Discrete Diffusion
  ☆56Updated 10 months ago
• genedisco / genedisco
  GeneDisco is a benchmark suite for evaluating active learning algorithms for experimental design in drug discovery.
  ☆37Updated last year
• andreeadeac22 / graph_coattention
  Work on designing a graph co-attention algorithm.
  ☆18Updated last year
• zaixizhang / FAIR
  NeurIPS 2023 Spotlight paper: Full atom protein pocket design via iterative refinement
  ☆46Updated last year
• DeepGraphLearning / PEER_Benchmark
  PEER Benchmark, appear at NeurIPS 2022 Dataset and Benchmark Track (https://arxiv.org/abs/2206.02096)
  ☆89Updated 2 years ago
• valence-labs / mood-experiments
  Molecular Out-Of-Distribution
  ☆37Updated last year
• ky66 / ROBIN
  An analysis of a new experimentally-derived nucleic acid binding chemical library
  ☆21Updated 2 years ago
• IBM / ReprogBERT
  Code for ICML 2023 paper "Reprogramming Pretrained Language Models for Antibody Sequence Infilling"
  ☆23Updated last year
• ml-jku / mgenerators-failure-modes
  Shows some of the ways molecule generation and optimization can go wrong
  ☆16Updated last year
• schwallergroup / mhnn
  Molecular Hypergraph Neural Network
  ☆34Updated 8 months ago
• fork123aniket / Molecule-Graph-Generation
  Molecule Graph Generation using Graph Convolutional Networks-based Variational Graph AutoEncoders (VGAE) in PyTorch
  ☆23Updated 4 months ago
• smiles724 / GNN-Bottleneck
  ☆39Updated 2 years ago
• ml-jku / vnegnn
  ☆32Updated last month
• azminewasi / Awesome-MoML-ICLR25
  ALL Molecular ML papers from ICLR'25.
  ☆22Updated last week
• liudan111 / PLM-interact
  PLM-interact: extending protein language models to predict protein-protein interactions.
  ☆20Updated 3 months ago
• LanceKnight / MolKGNN
  MolKGNN is a deep learning model for predicting biological activity or molecular properties. It features in 1. SE(3)-invariance 2. confor…
  ☆13Updated last year