Alternatives and similar repositories for DeepSeqPanII:

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

• frankligy / DeepImmuno
  Deep-learning empowered prediction and generation of immunogenic epitopes for T cell immunity
  ☆66Updated last year
• HYsxe / ACME
  Supplementary data for the ACME algorithm
  ☆23Updated 2 years ago
• s6juncheng / BERTMHC
  MHC-peptide class II interaction prediction, binding, presentation
  ☆21Updated 3 years ago
• alexarnimueller / modlAMP
  Python package for peptide sequence generation, peptide descriptor calculation and sequence analysis.
  ☆57Updated last week
• gopuvenkat / MHCAttnNet
  MHCAttnNet: Allele-Peptide predictions for class I & class II MHC alleles
  ☆29Updated 4 years ago
• dmnfarrell / epitopepredict
  Python package and command line tool for epitope prediction
  ☆51Updated 7 months ago
• denisbeslic / denovopipeline
  Pipeline for de novo peptide sequencing (Novor, DeepNovo, SMSNet, PointNovo, Casanovo) and assembly with ALPS.
  ☆39Updated last year
• johli / scrambler
  Interpretation by Deep Generative Masking for Biological Sequences
  ☆37Updated 3 years ago
• xinyu-dev / annotate_v
  Antibody Annotation - Annotate VH and VL sequences (FR and CDR) in Python
  ☆29Updated last year
• lasersonlab / pepsyn
  Peptide library design
  ☆22Updated 4 years ago
• GreiffLab / manuscript_ab_epitope_interaction
  ☆24Updated last year
• duolinwang / MusiteDeep_web
  This repository contains the stand-alone tool for MusiteDeep server
  ☆33Updated 4 years ago
• Rostlab / bindPredict
  Prediction of binding residues for metal ions, nucleic acids, and small molecules.
  ☆32Updated 3 months ago
• 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".
  ☆57Updated 3 years ago
• csi-greifflab / manuscript_insilico_antibody_generation
  ☆24Updated 3 years ago
• patrickbryant1 / SpeedPPI
  Rapid protein-protein interaction network creation from multiple sequence alignments with Deep Learning
  ☆82Updated last year
• tadorfer / protlearn
  A Python package for extracting protein sequence features
  ☆58Updated 2 years ago
• dosorio / Peptides
  An R package to calculate indices and theoretical physicochemical properties of peptides and protein sequences.
  ☆82Updated last year
• GfellerLab / MixMHCpred
  HLA-I ligand predictor
  ☆35Updated 3 months ago
• jjin49 / DeepAttentionPan
  ☆13Updated 4 years ago
• Doudna-lab / GARNET_DL
  ☆36Updated 2 months ago
• IdoSpringer / ERGO
  ERGO is a deep learing based model for predicting TCR-peptide binding.
  ☆17Updated 2 years ago
• Devil625 / Codon_Optimization
  https://www.nature.com/articles/s41598-020-74091-z#Tab1
  ☆40Updated last year
• Rostlab / goPredSim
  ☆44Updated 3 months ago
• PaccMann / paccmann_predictor
  PyTorch implementation of bimodal neural networks for drug-cell (pharmarcogenomics) and drug-protein (proteochemometrics) interaction pre…
  ☆50Updated 10 months ago
• rnajena / EpiDope
  Prediction of B-cell epitopes from amino acid sequences using deep neural networks.
  ☆16Updated 2 years ago
• johli / seqprop
  Stochastic Sequence Propagation - A Keras Model for optimizing DNA, RNA and protein sequences based on a predictor
  ☆47Updated 7 months ago
• alchemab / parapred-pytorch
  PyTorch implementation of Parapred (Liberis et al., 2018) with Paratyping (Richardson et al., 2021)
  ☆19Updated last year
• gf712 / AbPyTools
  Python package for analysis of antibody heavy and light chains
  ☆25Updated 4 years ago
• debbiemarkslab / EVmutation
  Mutation effects predicted from sequence co-variation
  ☆63Updated 7 years ago