PaccMann / paccmann_predictor

Related projects: ⓘ

• aqlaboratory / hsm
  Code associated with "Biophysical prediction of protein-peptide interactions and signaling networks using machine learning."
  ☆70Updated 4 months ago
• pth1993 / DeepCE
  A deep learning framework for high-throughput mechanism-driven phenotype screening
  ☆46Updated 3 years ago
• cansyl / MDeePred
  Multi-Channel Deep Chemogenomic Modeling of Receptor-Ligand Binding Affinity Prediction for Drug Discovery
  ☆27Updated 3 years ago
• TeamSundar / TransDTI
  TransDTI: Transformer-based language models for estimating DTIs and building a drug-recommendation workflow
  ☆11Updated last year
• johli / scrambler
  Interpretation by Deep Generative Masking for Biological Sequences
  ☆34Updated 2 years ago
• astrazeneca-cgr-publications / DrugnomeAI-release
  ☆14Updated this week
• HarveyYan / RNAonGraph
  A repository for neural representational learning of RNA secondary structures
  ☆30Updated 4 years ago
• gv20-therapeutics / antibody-in-pytorch
  Machine learning models for antibody sequences in PyTorch
  ☆38Updated 3 years ago
• gitter-lab / nn4dms
  Neural networks for deep mutational scanning data
  ☆66Updated 8 months ago
• Rostlab / bindPredict
  Prediction of binding residues for metal ions, nucleic acids, and small molecules.
  ☆31Updated 2 years ago
• brianhie / uncertainty
  Learning with uncertainty for biological discovery and design
  ☆33Updated last year
• alchemab / parapred-pytorch
  PyTorch implementation of Parapred (Liberis et al., 2018) with Paratyping (Richardson et al., 2021)
  ☆18Updated last year
• dohlee / antiberty-pytorch
  An unofficial re-implementation of AntiBERTy, an antibody-specific protein language model, in PyTorch.
  ☆22Updated 5 months ago
• frankligy / DeepImmuno
  Deep-learning empowered prediction and generation of immunogenic epitopes for T cell immunity
  ☆59Updated last year
• eliberis / parapred
  Paratope Prediction using Deep Learning
  ☆59Updated last year
• Superzchen / iFeatureOmega-CLI
  iFeatureOmega is a comprehensive platform for generating, analyzing and visualizing more than 170 representations for biological sequence…
  ☆25Updated last year
• chembl / tractability_pipeline_v2
  Pipeline for assessing the tractability of potential targets (starting from Gene IDs)
  ☆20Updated last month
• churchlab / low-N-protein-engineering
  Code and data to reproduce analyses in Biswas et al. (2020) "Low-N protein engineering with data-efficient deep learning".
  ☆56Updated 3 years ago
• Wang-lab-UCSD / RESP
  The code used to generate the results from Parkinson / Hard et al. 2022
  ☆16Updated last year
• alexarnimueller / modlAMP
  Python package for peptide sequence generation, peptide descriptor calculation and sequence analysis.
  ☆51Updated last year
• jiangdada1221 / TEINet
  TEINet: a deep learning framework for prediction of TCR-epitope binding specificity
  ☆13Updated last year
• debbiemarkslab / SeqDesign
  Protein design and variant prediction using autoregressive generative models
  ☆88Updated 7 months ago
• xinyu-dev / annotate_v
  Antibody Annotation - Annotate VH and VL sequences (FR and CDR) in Python
  ☆27Updated last year
• baranwa2 / MetabolicPathwayPrediction
  ☆28Updated 11 months ago
• GIST-CSBL / HoTS
  HoTS: Sequence-based prediction of binding regions and drug-target interactions.
  ☆25Updated last year
• GreiffLab / manuscript_ab_epitope_interaction
  ☆22Updated 8 months ago
• mikejhuang / PhageProtVec
  Amino Acid Embedding Representation as Machine Learning Features
  ☆18Updated 6 years ago
• rnajena / EpiDope
  Prediction of B-cell epitopes from amino acid sequences using deep neural networks.
  ☆15Updated 2 years ago
• duolinwang / MusiteDeep_web
  This repository contains the stand-alone tool for MusiteDeep server
  ☆28Updated 3 years ago
• oxpig / saab_plus
  ☆23Updated 4 years ago