Alternatives and similar repositories for ProFun

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

• bio-ontology-research-group / deepgozero
  DeepGO with Fuzzy DL
  ☆30Updated 2 years ago
• xinformatics / alphafold
  Open source code for AlphaFold to extract protein embeddings
  ☆27Updated 3 years ago
• aedera / anc2vec
  Unsupervised neural network for learning embeddings of GO terms.
  ☆18Updated 3 years ago
• zongmingchua / cafa5
  Code for generating model and predictions for CAFA5 competition 2023 (4th place solution)
  ☆13Updated last year
• IBM / ReprogBERT
  Code for ICML 2023 paper "Reprogramming Pretrained Language Models for Antibody Sequence Infilling"
  ☆24Updated 2 years ago
• cgoliver / rnaglib
  Deep learning datasets for RNA 3D and 2.5D structures.
  ☆40Updated last week
• PaccMann / paccmann_kinase_binding_residues
  Comparison of active site and full kinase sequences for drug-target affinity prediction and molecular generation. Full paper: https://pub…
  ☆36Updated 2 years ago
• jafetgado / ThermoProt
  Predict protein thermostability with ML
  ☆19Updated 10 months ago
• ml-jku / mgenerators-failure-modes
  Shows some of the ways molecule generation and optimization can go wrong
  ☆17Updated 2 years ago
• cognano / AVIDa-SARS-CoV-2
  Code for NeurIPS 2024 paper "A SARS-CoV-2 Interaction Dataset and VHH Sequence Corpus for Antibody Language Models"
  ☆13Updated 9 months ago
• yarongef / DistilProtBert
  DistilProtBert implementation, a distilled version of ProtBert model.
  ☆15Updated 2 years ago
• samoturk / mol2vec_notebooks
  Mol2vec notebooks for use with Binder service
  ☆29Updated 7 years ago
• ETHmodlab / molecular_design_with_beam_search
  ☆23Updated 3 years ago
• zzhangzzhang / pLMs-interpretability
  ☆28Updated 9 months ago
• haddocking / prodigy-lig
  Prediction of Protein-Small molecule binding affinities
  ☆17Updated 9 months ago
• GIST-CSBL / HoTS
  HoTS: Sequence-based prediction of binding regions and drug-target interactions.
  ☆26Updated 2 years ago
• JinyuanSun / mutation-stability-data
  ☆17Updated 2 years ago
• babaling / DRPreter
  [IJMS 2022] DRPreter: Interpretable Anticancer Drug Response Prediction Using Knowledge-Guided Graph Neural Networks and Transformer
  ☆10Updated 2 years ago
• john-bradshaw / ml-in-bioinformatics-summer-school-2020
  Tutorial for "Advances in machine learning for molecules" (for Summer School for Machine Learning in Bioinformatics, https://cs.hse.ru/ss…
  ☆20Updated 4 years ago
• LanceKnight / MolKGNN
  MolKGNN is a deep learning model for predicting biological activity or molecular properties. It features in 1. SE(3)-invariance 2. confor…
  ☆13Updated last year
• leojklarner / Q-SAVI
  Drug Discovery under Covariate Shift with Domain-Informed Prior Distributions over Functions
  ☆24Updated 2 years ago
• deskk / AbGPT
  ☆11Updated 10 months ago
• abelavit / PepCNN
  ☆21Updated last year
• NasimAbdollahi / NodeCoder
  NodeCoder is a general framework based on graph convolutional neural network for protein function prediction.
  ☆33Updated last year
• BioinfoMachineLearning / MULTICOM3
  The software system of improving AlphaFold2- and AlphaFold-Multimer-based protein tertiary & quaternary structure prediction. It was deve…
  ☆28Updated last year
• brianhie / uncertainty
  Learning with uncertainty for biological discovery and design
  ☆34Updated 2 years ago
• ratthachat / awesome-biochem-ai
  Curated list on Deep Transformers Applications on Biology and Chemistry
  ☆18Updated 2 years ago
• biofold / ddgun
  predict stability change upon mutation
  ☆28Updated last year
• arontier / A_Prot_Paper
  A Prot paper related materials
  ☆10Updated 2 years ago
• OpenBioML / protein-lm-scaling
  ☆58Updated last year