hkmztrk / SMILESVecProteinRepresentation
Source code for "A novel methodology on distributed representations of proteins using their interacting ligands"
☆28Updated 5 years ago
Alternatives and similar repositories for SMILESVecProteinRepresentation
Users that are interested in SMILESVecProteinRepresentation are comparing it to the libraries listed below
Sorting:
- Code associated with "Biophysical prediction of protein-peptide interactions and signaling networks using machine learning."☆70Updated last year
- PaccMann models for protein language modeling☆42Updated 3 years ago
- Multi-Channel Deep Chemogenomic Modeling of Receptor-Ligand Binding Affinity Prediction for Drug Discovery☆27Updated 4 years ago
- Comparison of active site and full kinase sequences for drug-target affinity prediction and molecular generation. Full paper: https://pub…☆36Updated 2 years ago
- Amino Acid Embedding Representation as Machine Learning Features☆19Updated 6 years ago
- A Python package for extracting protein sequence features☆59Updated 2 years ago
- PyTorch implementation of Parapred (Liberis et al., 2018) with Paratyping (Richardson et al., 2021)☆20Updated last year
- Modelling the Language of Life - Deep Learning Protein Sequences☆72Updated 4 years ago
- HoTS: Sequence-based prediction of binding regions and drug-target interactions.☆26Updated 2 years ago
- Molecular Generation for Desired Transcriptome Changes with Adversarial Autoencoders☆53Updated 4 years ago
- Implementation of ReSimNet for drug response similarity prediction☆40Updated last year
- DistilProtBert implementation, a distilled version of ProtBert model.☆15Updated 2 years ago
- A deep learning framework for high-throughput mechanism-driven phenotype screening☆49Updated 4 years ago
- Open source code for AlphaFold to extract protein embeddings☆26Updated 3 years ago
- MoleculeNet benchmark dataset & MolMapNet dataset☆64Updated 3 years ago
- An unofficial re-implementation of AntiBERTy, an antibody-specific protein language model, in PyTorch.☆24Updated last year
- NLP for Proteins - A paper collection☆13Updated 4 years ago
- DeepGS: Deep Representation Learning of Graphs and Sequences for Drug-Target Binding Affinity Prediction (ECAI 2020)☆26Updated 4 years ago
- DEEPScreen: Virtual Screening with Deep Convolutional Neural Networks Using Compound Images☆113Updated 9 months ago
- Paratope Prediction using Deep Learning☆59Updated last year
- Trainable representation analysis study repository☆42Updated 3 years ago
- RXN for biochemical reactions☆67Updated 2 years ago
- PyTorch implementation of bimodal neural networks for drug-cell (pharmarcogenomics) and drug-protein (proteochemometrics) interaction pre…☆51Updated 11 months ago
- Alignment-free Protein Motif Miner☆16Updated 6 years ago
- TargetDB is a tool to quickly querry multiple publicly available databases and provide an integrated view of the information available ab…☆32Updated 10 months ago
- ☆38Updated 4 years ago
- Epistatic Net is an algorithm which allows for spectral regularization of deep neural networks to predict biological fitness functions (e…☆18Updated 3 years ago
- ☆16Updated 7 years ago
- Predict the structure of immune receptor proteins☆48Updated 6 months ago
- Package for processing and analyzing glycans and their role in biology.☆64Updated this week