rounakvjay / Protein_Sequence_ClassificationLinks
A case study on Pfam dataset to classify protein families.
☆32Updated 5 years ago
Alternatives and similar repositories for Protein_Sequence_Classification
Users that are interested in Protein_Sequence_Classification are comparing it to the libraries listed below
Sorting:
- Modelling the Language of Life - Deep Learning Protein Sequences☆73Updated 4 years ago
- Protein sequence classification with self-supervised pretraining☆82Updated 3 years ago
- A Python package for extracting protein sequence features☆59Updated 2 years ago
- Source code for "A novel methodology on distributed representations of proteins using their interacting ligands"☆28Updated 5 years ago
- A Python-based Effective Feature Generation Tool from DNA, RNA, and Protein Sequences☆96Updated 2 years ago
- A Prot paper related materials☆10Updated 2 years ago
- ☆26Updated 2 years ago
- 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
- Bioinformatics 2020: Graph Neural Networks for DNA Sequence Classification☆33Updated 4 years ago
- ☆47Updated 7 months ago
- TBiNet: A deep neural network for predicting transcription factor binding sites using attention mechanism☆25Updated 4 years ago
- Code for reproducing results of "Unsupervised embeddings is all you need for protein function prediction"☆39Updated 2 years ago
- iFeatureOmega is a comprehensive platform for generating, analyzing and visualizing more than 170 representations for biological sequence…☆31Updated 3 years ago
- DistilProtBert implementation, a distilled version of ProtBert model.☆15Updated 2 years ago
- Prediction of binding residues for metal ions, nucleic acids, and small molecules.☆32Updated 7 months ago
- Improving protein function prediction with synthetic feature samples created by generative adversarial networks☆22Updated 4 years ago
- Multi-Channel Deep Chemogenomic Modeling of Receptor-Ligand Binding Affinity Prediction for Drug Discovery☆28Updated 4 years ago
- NLP for Proteins - A paper collection☆13Updated 4 years ago
- iFeatureOmega is a comprehensive platform for generating, analyzing and visualizing more than 170 representations for biological sequence…☆34Updated last year
- A repository for neural representational learning of RNA secondary structures☆32Updated 5 years ago
- Graph-based representation learning method for protein function prediction☆24Updated 4 years ago
- Template with code & dataset for the "Structural basis for solubility in protein expression systems" challenge at the Copenhagen Bioinfor…☆22Updated 4 years ago
- Deep learning protein-protein binding sites prediction☆20Updated 2 years ago
- A Deep-learning based dOcking decoy eValuation mEthod☆57Updated 2 years ago
- ☆23Updated 2 years ago
- PyTorch implementation of bimodal neural networks for drug-cell (pharmarcogenomics) and drug-protein (proteochemometrics) interaction pre…☆51Updated last year
- PaccMann models for protein language modeling☆42Updated 3 years ago
- ☆25Updated 3 years ago
- Parameter-efficient embeddings for proteins, pretrained using a contrastive loss.☆29Updated 4 years ago
- deep protein solubility prediction☆38Updated 6 years ago