cansyl / DEEPred

Related projects ⓘ

Alternatives and complementary repositories for DEEPred

• Rostlab / goPredSim
  ☆43Updated last year
• HannesStark / protein-localization
  Using Transformer protein embeddings with a linear attention mechanism to make SOTA de-novo predictions for the subcellular location of p…
  ☆55Updated last year
• brianhie / evolocity
  Evolutionary velocity with protein language models
  ☆83Updated last year
• johli / scrambler
  Interpretation by Deep Generative Masking for Biological Sequences
  ☆36Updated 2 years ago
• varnivey / ipanda
  insilico Pathway Activation Network Decomposition Analysis (iPANDA) package. Owned by Insilico Medicine Inc. iPANDA is a pathway analysis…
  ☆25Updated 7 years ago
• Rostlab / bindPredict
  Prediction of binding residues for metal ions, nucleic acids, and small molecules.
  ☆31Updated 2 years ago
• zongmingchua / cafa5
  Code for generating model and predictions for CAFA5 competition 2023 (4th place solution)
  ☆11Updated 5 months ago
• MedChaabane / deepRAM
  End-to-end deep learning toolkit for predicting protein binding sites and motifs.
  ☆44Updated 5 years ago
• OATML / EVE
  Official repository for the paper "Large-scale clinical interpretation of genetic variants using evolutionary data and deep learning". Jo…
  ☆60Updated 2 years ago
• psipred / DMPfold
  De novo protein structure prediction using iteratively predicted structural constraints
  ☆55Updated 2 years ago
• bio-ontology-research-group / deepgo
  Function prediction using a deep ontology-aware classifier
  ☆80Updated 2 years ago
• QData / ChromeGCN
  Bioinformatics 2020: Graph Neural Networks for DNA Sequence Classification
  ☆33Updated 3 years ago
• aqlaboratory / hsm
  Code associated with "Biophysical prediction of protein-peptide interactions and signaling networks using machine learning."
  ☆71Updated 6 months ago
• frankligy / DeepImmuno
  Deep-learning empowered prediction and generation of immunogenic epitopes for T cell immunity
  ☆63Updated last year
• nstrodt / UDSMProt
  Protein sequence classification with self-supervised pretraining
  ☆83Updated 2 years ago
• yanzhanglab / Graph2GO
  Graph-based representation learning method for protein function prediction
  ☆24Updated 4 years ago
• brennanaba / ImmuneBuilder
  Predict the structure of immune receptor proteins
  ☆47Updated 2 weeks ago
• jertubiana / ProteinMotifRBM
  Learning Protein Constitutive Motifs from Sequence Data: RBM toolbox
  ☆20Updated 5 years ago
• johli / seqprop
  Stochastic Sequence Propagation - A Keras Model for optimizing DNA, RNA and protein sequences based on a predictor
  ☆42Updated 3 months ago
• stamakro / GCN-for-Structure-and-Function
  Code for reproducing results of "Unsupervised embeddings is all you need for protein function prediction"
  ☆39Updated last year
• hendrixlab / bpRNA
  bpRNA: Large-scale Annotation and Analysis of RNA Secondary Structure
  ☆43Updated 11 months ago
• ntranoslab / esm-variants
  ☆66Updated last year
• eternagame / EternaFold
  Improving RNA structure prediction through multitask learning on diverse crowdsourced data.
  ☆49Updated 4 months ago
• BojarLab / glycowork
  Package for processing and analyzing glycans and their role in biology.
  ☆56Updated this week
• mheinzinger / SeqVec
  Modelling the Language of Life - Deep Learning Protein Sequences
  ☆72Updated 3 years ago
• TattaBio / DGEB
  Diverse Genomic Embedding Benchmark
  ☆37Updated last month
• 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
• DasLab / draw_rna
  Draw RNA secondary structures in python.
  ☆43Updated 2 months ago
• oxpig / CaLM
  Protein language model trained on coding DNA
  ☆38Updated last month
• amyxlu / CPCProt
  Parameter-efficient embeddings for proteins, pretrained using a contrastive loss.
  ☆24Updated 4 years ago