Alternatives and similar repositories for TransDTI

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

• GIST-CSBL / HoTS
  HoTS: Sequence-based prediction of binding regions and drug-target interactions.
  ☆28Updated 3 years ago
• pth1993 / DeepCE
  A deep learning framework for high-throughput mechanism-driven phenotype screening
  ☆52Updated 4 years ago
• xinyu-dev / annotate_v
  Antibody Annotation - Annotate VH and VL sequences (FR and CDR) in Python
  ☆30Updated 2 years ago
• alchemab / parapred-pytorch
  PyTorch implementation of Parapred (Liberis et al., 2018) with Paratyping (Richardson et al., 2021)
  ☆20Updated 2 years ago
• gv20-therapeutics / antibody-in-pytorch
  Machine learning models for antibody sequences in PyTorch
  ☆41Updated 4 years ago
• aqlaboratory / hsm
  Code associated with "Biophysical prediction of protein-peptide interactions and signaling networks using machine learning."
  ☆71Updated last year
• piercelab / tcrmodel2
  ☆45Updated 9 months ago
• NasimAbdollahi / NodeCoder
  NodeCoder is a general framework based on graph convolutional neural network for protein function prediction.
  ☆34Updated last year
• samsledje / ConPLex_dev
  ☆54Updated last year
• HarveyYan / RNAonGraph
  A repository for neural representational learning of RNA secondary structures
  ☆32Updated 5 years ago
• gitter-lab / nn4dms
  Neural networks for deep mutational scanning data
  ☆71Updated 7 months ago
• astrazeneca-cgr-publications / DrugnomeAI-release
  ☆19Updated last year
• ky66 / ROBIN
  An analysis of a new experimentally-derived nucleic acid binding chemical library
  ☆26Updated 2 years ago
• Doudna-lab / GARNET_DL
  ☆36Updated 11 months ago
• biomed-AI / GraphSite
  GraphSite: protein-DNA binding site prediction using graph transformer and predicted protein structures
  ☆61Updated last year
• alchemab / antiberta
  Public repository describing training and testing of AntiBERTa.
  ☆61Updated 2 years ago
• jiangdada1221 / TEINet
  TEINet: a deep learning framework for prediction of TCR-epitope binding specificity
  ☆16Updated 2 years ago
• YihePang / DisoFLAG
  Accurate prediction of protein intrinsic disorder and its functions using graph-based interaction protein language model
  ☆24Updated last year
• biomed-AI / GPSite
  Geometry-aware protein binding site predictor
  ☆25Updated last year
• CongLabCode / RoseTTAFold2-PPI
  Fast deep learning methods for large-scale protein-protein interaction screening
  ☆114Updated 5 months ago
• AIforGreatGood / biotransfer
  Machine learning-driven antibody design
  ☆62Updated 2 years ago
• PaccMann / paccmann_predictor
  PyTorch implementation of bimodal neural networks for drug-cell (pharmarcogenomics) and drug-protein (proteochemometrics) interaction pre…
  ☆54Updated 5 months ago
• GreiffLab / manuscript_ab_epitope_interaction
  ☆25Updated 2 years ago
• dahjan / DMS_opt
  ☆74Updated 5 years ago
• dohlee / antiberty-pytorch
  An unofficial re-implementation of AntiBERTy, an antibody-specific protein language model, in PyTorch.
  ☆26Updated last year
• csi-greifflab / manuscript_insilico_antibody_generation
  ☆23Updated 4 years ago
• TencentAILabHealthcare / ER-BERT
  ☆14Updated 2 years ago
• broadinstitute / EmmaEmb
  ☆16Updated 4 months ago
• MachineLearningLifeScience / meaningful-protein-representations
  ☆110Updated 3 years ago
• gozsari / ProtFeat
  ProtFeat is protein feature extraction tool that utilizes POSSUM and iFeature.
  ☆20Updated last year