Alternatives and similar repositories for ACME

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

• psipred / FFPredGAN
  Improving protein function prediction with synthetic feature samples created by generative adversarial networks
  ☆22Updated 4 years ago
• aqlaboratory / hsm
  Code associated with "Biophysical prediction of protein-peptide interactions and signaling networks using machine learning."
  ☆72Updated last year
• eliberis / parapred
  Paratope Prediction using Deep Learning
  ☆59Updated 2 years ago
• nstrodt / UDSMProt
  Protein sequence classification with self-supervised pretraining
  ☆82Updated 3 years ago
• tadorfer / protlearn
  A Python package for extracting protein sequence features
  ☆59Updated 2 years ago
• sameerkhurana10 / DSOL_rv0.2
  deep protein solubility prediction
  ☆38Updated 6 years ago
• Rostlab / bindPredict
  Prediction of binding residues for metal ions, nucleic acids, and small molecules.
  ☆32Updated 7 months ago
• lucian-ilie / DELPHI
  Deep learning protein-protein binding sites prediction
  ☆20Updated 2 years ago
• pth1993 / DeepCE
  A deep learning framework for high-throughput mechanism-driven phenotype screening
  ☆50Updated 4 years ago
• oxpig / saab_plus
  ☆25Updated 5 years ago
• PaccMann / paccmann_proteomics
  PaccMann models for protein language modeling
  ☆42Updated 3 years ago
• elbasir / DeepCrystal
  DeepCrystal: A Deep Learning Framework for sequence-based Protein Crystallization Prediction
  ☆18Updated last week
• gopuvenkat / MHCAttnNet
  MHCAttnNet: Allele-Peptide predictions for class I & class II MHC alleles
  ☆30Updated 4 years ago
• pcpLiu / DeepSeqPanII
  A sequence-based pan model for peptide-MHC II binding affinity prediction.
  ☆21Updated 3 years ago
• gf712 / AbPyTools
  Python package for analysis of antibody heavy and light chains
  ☆25Updated 4 years ago
• duolinwang / MusiteDeep_web
  This repository contains the stand-alone tool for MusiteDeep server
  ☆34Updated 4 years ago
• mikejhuang / PhageProtVec
  Amino Acid Embedding Representation as Machine Learning Features
  ☆19Updated 6 years ago
• alchemab / parapred-pytorch
  PyTorch implementation of Parapred (Liberis et al., 2018) with Paratyping (Richardson et al., 2021)
  ☆20Updated last year
• gitter-lab / nn4dms
  Neural networks for deep mutational scanning data
  ☆69Updated last month
• jertubiana / ProteinMotifRBM
  Learning Protein Constitutive Motifs from Sequence Data: RBM toolbox
  ☆20Updated 6 years 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".
  ☆59Updated 4 years ago
• PaccMann / paccmann_predictor
  PyTorch implementation of bimodal neural networks for drug-cell (pharmarcogenomics) and drug-protein (proteochemometrics) interaction pre…
  ☆51Updated last year
• alexarnimueller / modlAMP
  Python package for peptide sequence generation, peptide descriptor calculation and sequence analysis.
  ☆60Updated 4 months ago
• churchlab / UniRep-analysis
  Analysis and figure code from Alley et al. 2019.
  ☆59Updated 2 years ago
• tomiilab / DeepECA
  ☆18Updated 5 years ago
• mrzResearchArena / PyFeat
  A Python-based Effective Feature Generation Tool from DNA, RNA, and Protein Sequences
  ☆96Updated 2 years ago
• IdoSpringer / ERGO
  ERGO is a deep learing based model for predicting TCR-peptide binding.
  ☆17Updated 2 years ago
• amyxlu / CPCProt
  Parameter-efficient embeddings for proteins, pretrained using a contrastive loss.
  ☆29Updated 4 years ago
• ba-lab / pdnet
  PDNET: A fully open-source framework for deep learning protein real-valued distances
  ☆35Updated 4 years ago
• samsinai / VAE_protein_function
  Protein function prediction using a variational autoencoder
  ☆94Updated 7 years ago