Alternatives and similar repositories for ACME

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

• pcpLiu / DeepSeqPanII
  A sequence-based pan model for peptide-MHC II binding affinity prediction.
  ☆20Updated 3 years ago
• duolinwang / MusiteDeep_web
  This repository contains the stand-alone tool for MusiteDeep server
  ☆33Updated 4 years ago
• s6juncheng / BERTMHC
  MHC-peptide class II interaction prediction, binding, presentation
  ☆21Updated 3 years ago
• duolinwang / CapsNet_PTM
  CapsNet for Protein Post-translational Modification site prediction.
  ☆25Updated 5 years ago
• frankligy / DeepImmuno
  Deep-learning empowered prediction and generation of immunogenic epitopes for T cell immunity
  ☆68Updated 2 years ago
• pcpLiu / DeepSeqPan
  A sequence-based pan model for peptide-MHC I binding affinity prediction.
  ☆25Updated 6 years ago
• Rostlab / bindPredict
  Prediction of binding residues for metal ions, nucleic acids, and small molecules.
  ☆32Updated 5 months ago
• eliberis / parapred
  Paratope Prediction using Deep Learning
  ☆59Updated 2 years ago
• xinyu-dev / annotate_v
  Antibody Annotation - Annotate VH and VL sequences (FR and CDR) in Python
  ☆30Updated last year
• psipred / FFPredGAN
  Improving protein function prediction with synthetic feature samples created by generative adversarial networks
  ☆22Updated 4 years ago
• mikejhuang / PhageProtVec
  Amino Acid Embedding Representation as Machine Learning Features
  ☆19Updated 6 years ago
• PaccMann / paccmann_predictor
  PyTorch implementation of bimodal neural networks for drug-cell (pharmarcogenomics) and drug-protein (proteochemometrics) interaction pre…
  ☆51Updated last year
• PaccMann / paccmann_proteomics
  PaccMann models for protein language modeling
  ☆42Updated 3 years ago
• aqlaboratory / hsm
  Code associated with "Biophysical prediction of protein-peptide interactions and signaling networks using machine learning."
  ☆70Updated last year
• alexarnimueller / modlAMP
  Python package for peptide sequence generation, peptide descriptor calculation and sequence analysis.
  ☆60Updated 2 months ago
• largelymfs / deepcontact
  DeepContact Software
  ☆26Updated 6 years ago
• dohlee / antiberty-pytorch
  An unofficial re-implementation of AntiBERTy, an antibody-specific protein language model, in PyTorch.
  ☆24Updated last year
• sameerkhurana10 / DSOL_rv0.2
  deep protein solubility prediction
  ☆36Updated 6 years ago
• johli / scrambler
  Interpretation by Deep Generative Masking for Biological Sequences
  ☆37Updated 3 years ago
• gv20-therapeutics / antibody-in-pytorch
  Machine learning models for antibody sequences in PyTorch
  ☆39Updated 4 years ago
• gopuvenkat / MHCAttnNet
  MHCAttnNet: Allele-Peptide predictions for class I & class II MHC alleles
  ☆29Updated 4 years ago
• biomed-AI / GraphSite
  GraphSite: protein-DNA binding site prediction using graph transformer and predicted protein structures
  ☆59Updated 10 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".
  ☆58Updated 4 years ago
• IdoSpringer / ERGO
  ERGO is a deep learing based model for predicting TCR-peptide binding.
  ☆17Updated 2 years ago
• GreiffLab / manuscript_ab_epitope_interaction
  ☆25Updated last year
• Doudna-lab / GARNET_DL
  ☆37Updated 4 months ago
• gf712 / AbPyTools
  Python package for analysis of antibody heavy and light chains
  ☆25Updated 4 years ago
• ElwynWang / DeepFragLib
  ☆29Updated 4 years ago
• vkola-lab / peds2019
  Quantifying the nativeness of antibody sequences using long short-term memory networks
  ☆17Updated 3 years ago
• Furman-Lab / Peptide_docking_with_AF2_and_RosettAfold
  Code and data used in https://doi.org/10.1101/2021.08.01.454656
  ☆53Updated 3 years ago