GreiffLab / manuscript_ab_epitope_interaction

Related projects: ⓘ

• 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
• debbiemarkslab / EVmutation
  Mutation effects predicted from sequence co-variation
  ☆59Updated 7 years ago
• csi-greifflab / manuscript_insilico_antibody_generation
  ☆22Updated 3 years ago
• lehner-lab / DMS2structure
  Scripts for "Determining protein structures using deep mutagenesis", Schmiedel & Lehner, Nature Genetics, 2019
  ☆17Updated 5 years ago
• IdoSpringer / ERGO
  ERGO is a deep learing based model for predicting TCR-peptide binding.
  ☆17Updated 2 years ago
• xinyu-dev / annotate_v
  Antibody Annotation - Annotate VH and VL sequences (FR and CDR) in Python
  ☆27Updated last year
• Rostlab / bindPredict
  Prediction of binding residues for metal ions, nucleic acids, and small molecules.
  ☆31Updated 2 years ago
• jlparkI / AntPack
  Tools for annotation, processing and ML for antibody sequences
  ☆18Updated this week
• Doudna-lab / GARNET_DL
  ☆24Updated 2 months ago
• Wang-lab-UCSD / RESP
  The code used to generate the results from Parkinson / Hard et al. 2022
  ☆16Updated last year
• idrblab / AnnoPRO
  Feature map and function annotation of Proteins
  ☆27Updated 3 months ago
• alexarnimueller / modlAMP
  Python package for peptide sequence generation, peptide descriptor calculation and sequence analysis.
  ☆51Updated last year
• piercelab / tcrmodel2
  ☆28Updated last week
• graph-part / graph-part
  GraphPart, a data partitioning method for ML on biological sequences
  ☆20Updated 10 months ago
• NKI-AI / STAPLER
  STAPLER (Shared TCR And Peptide Language bidirectional Encoder Representations from transformers) is a language model that uses a joint T…
  ☆25Updated 4 months ago
• brennanaba / ImmuneBuilder
  Predict the structure of immune receptor proteins
  ☆42Updated last month
• oxpig / saab_plus
  ☆23Updated 4 years ago
• rnajena / EpiDope
  Prediction of B-cell epitopes from amino acid sequences using deep neural networks.
  ☆15Updated 2 years ago
• brianhie / evolocity
  Evolutionary velocity with protein language models
  ☆83Updated 10 months ago
• KULL-Centre / _2022_functional-sites-cagiada
  ☆20Updated last year
• beckham-lab / EpHod
  Deep learning prediction of enzyme optimum pH
  ☆22Updated 9 months ago
• tymor22 / protein-vec
  Repository for Protein-Vec, a protein embedding mixture of experts model
  ☆35Updated 7 months ago
• gv20-therapeutics / antibody-in-pytorch
  Machine learning models for antibody sequences in PyTorch
  ☆38Updated 3 years ago
• johli / scrambler
  Interpretation by Deep Generative Masking for Biological Sequences
  ☆34Updated 2 years ago
• dmnfarrell / epitopepredict
  Python package and command line tool for epitope prediction
  ☆48Updated last month
• magnusekeberg / plmDCA
  ☆23Updated this week
• psipred / s4pred
  A tool for accurate prediction of a protein's secondary structure from only it's amino acid sequence
  ☆46Updated last month
• duolinwang / MusiteDeep_web
  This repository contains the stand-alone tool for MusiteDeep server
  ☆28Updated 3 years ago
• yanzhanglab / Graph2GO
  Graph-based representation learning method for protein function prediction
  ☆24Updated 4 years ago
• AIforGreatGood / biotransfer
  Machine learning-driven antibody design
  ☆50Updated last year