Alternatives and similar repositories for awesome-drug-pair-scoring

Users that are interested in awesome-drug-pair-scoring are comparing it to the libraries listed below

• insilicomedicine / BiAAE
  Molecular Generation for Desired Transcriptome Changes with Adversarial Autoencoders
  ☆53Updated 4 years ago
• snap-stanford / multiscale-interactome
  ☆67Updated last year
• kexinhuang12345 / SkipGNN
  SkipGNN: Predicting Molecular Interactions with Skip-Graph Networks (Scientific Reports)
  ☆64Updated 5 years ago
• AstraZeneca / skywalkR
  code for Gogleva et al manuscript
  ☆45Updated 2 years ago
• drug2ways / drug2ways
  A Python package for drug discovery by analyzing causal paths on multiscale networks
  ☆27Updated 11 months ago
• nrohani / NDD
  Drug-Drug Interaction Predicting by Neural Network Using Integrated Similarity
  ☆29Updated 4 years ago
• QData / ChromeGCN
  Bioinformatics 2020: Graph Neural Networks for DNA Sequence Classification
  ☆33Updated 4 years ago
• xnuohz / awesome-drug-discovery
  A collection of drug discovery, classification and representation learning papers with deep learning.
  ☆42Updated 3 years ago
• PaccMann / paccmann_datasets
  pytoda - PaccMann PyTorch Dataset Classes. Read the docs: https://paccmann.github.io/paccmann_datasets/
  ☆28Updated 8 months ago
• cansyl / DEEPScreen
  DEEPScreen: Virtual Screening with Deep Convolutional Neural Networks Using Compound Images
  ☆113Updated 11 months ago
• snap-stanford / miner-data
  ☆64Updated 5 years ago
• tadorfer / protlearn
  A Python package for extracting protein sequence features
  ☆59Updated 2 years ago
• BoHuangLab / Protein-Localization-Transformer
  Code for CELL-E: Biological Zero-Shot Text-to-Image Synthesis for Protein Localization Prediction
  ☆29Updated last year
• AstraZeneca / awesome-drug-discovery-knowledge-graphs
  A collection of research papers, datasets and software related to knowledge graphs for drug discovery. Accompanies the paper "A review of…
  ☆229Updated last month
• dsi-bdi / biokg
  A Knowledge Graph for Relational Learning On Biological Data
  ☆100Updated last year
• virtualramblas / awesome-deep-learning-4-life-sciences
  A collection of resources for Deep Learning in Python for Life Sciences (with focus on biotech and pharma).
  ☆135Updated this week
• tadorfer / nlprot
  NLP for Proteins - A paper collection
  ☆13Updated 4 years ago
• googleinterns / protein-embedding-retrieval
  ☆34Updated 4 years ago
• shenwanxiang / ChemBench
  MoleculeNet benchmark dataset & MolMapNet dataset
  ☆63Updated 3 years ago
• mikejhuang / PhageProtVec
  Amino Acid Embedding Representation as Machine Learning Features
  ☆19Updated 6 years ago
• MachineLearningLifeScience / meaningful-protein-representations
  ☆109Updated 3 years ago
• dglai / Graph-Neural-Networks-in-Life-Sciences
  ☆216Updated 2 years ago
• kimmo1019 / DeepCDR
  Cancer Drug Response Prediction via a Hybrid Graph Convolutional Network
  ☆84Updated 2 years ago
• genedisco / genedisco
  GeneDisco is a benchmark suite for evaluating active learning algorithms for experimental design in drug discovery.
  ☆38Updated last year
• pth1993 / DeepCE
  A deep learning framework for high-throughput mechanism-driven phenotype screening
  ☆50Updated 4 years ago
• aqlaboratory / hsm
  Code associated with "Biophysical prediction of protein-peptide interactions and signaling networks using machine learning."
  ☆71Updated last year
• gcorso / NeuroSEED
  Implementation of Neural Distance Embeddings for Biological Sequences (NeuroSEED) in PyTorch (NeurIPS 2021)
  ☆73Updated last year
• john-bradshaw / ml-in-bioinformatics-summer-school-2020
  Tutorial for "Advances in machine learning for molecules" (for Summer School for Machine Learning in Bioinformatics, https://cs.hse.ru/ss…
  ☆20Updated 4 years ago
• wanwenzeng / deepdrug
  DeepDrug: A general graph-based deep learning framework for drug relation prediction
  ☆60Updated 2 years ago
• baranwa2 / MetabolicPathwayPrediction
  ☆36Updated last year