Lowpassfilter / tCNNS-ProjectLinks
twin CNN channels on drugs and cancer cell lines
☆8Updated 6 years ago
Alternatives and similar repositories for tCNNS-Project
Users that are interested in tCNNS-Project are comparing it to the libraries listed below
Sorting:
- The Supplementary data in the paper "A Survey and Systematic Assessment of Computational Methods for Drug Response Prediction"☆11Updated 5 years ago
- Methods of druglikeness prediction☆16Updated 2 years ago
- DeepConv-DTI: Prediction of drug-target interactions via deep learning with convolution on protein sequences☆76Updated 3 years ago
- This repository provides an implementation of the DTiGEMSplus tool, a network-based method for computational Drug-Target Interaction pred…☆27Updated 3 years ago
- A unified framework for predicting drug-target interactions, binding affinities and activation/inhibition mechanisms.☆46Updated 5 months ago
- ☆31Updated 5 months ago
- ☆17Updated 10 months ago
- A bi-directional attention neural network for compound–protein interaction and binding affinity prediction.☆32Updated 2 years ago
- ☆49Updated last year
- TEIM: TCR-Epitope Interaction Modeling☆50Updated last year
- Interpretable PROTAC degradation prediction with structure-informed deep ternary attention framework☆11Updated this week
- ☆45Updated last year
- MONN: a Multi-Objective Neural Network for Predicting Pairwise Non-Covalent Interactions and Binding Affinities between Compounds and Pro…☆102Updated 4 years ago
- A deep generative neural network based approach to impute drug response☆21Updated 4 years ago
- HoTS: Sequence-based prediction of binding regions and drug-target interactions.☆26Updated 2 years ago
- Integrative modeling of PROTAC-mediated ternary complex☆27Updated 3 years ago
- ☆11Updated last year
- Machine learning models for antibody sequences in PyTorch☆39Updated 4 years ago
- A repository of compound-target annotations in support of Systematic Chemogenetic Library Assembly☆17Updated 5 years ago
- A Python implementation for training a neural network for predicting drug-protein interactions using Keras and Tensorflow☆18Updated 7 years ago
- MGA☆43Updated 4 years ago
- Sequence-to-drug concept adds a perspective on drug design. It can serve as an alternative method to SBDD, particularly for proteins that…☆68Updated last year
- ☆12Updated last year
- Deep Generative Models for Drug Combination (Graph Set) Generation given Hierarchical Disease Network Embedding☆30Updated 2 years ago
- ☆63Updated 2 years ago
- Multi-modal co-attention for drug-target interaction annotation and Its Application to SARS-CoV-2☆17Updated 2 years ago
- DeePred-BBB is a deep Neural network-based model for prediction of blood brain barrier permeability of compounds using Simplified Molecul…☆23Updated 2 years ago
- a deep learning architecture for RNA-ligand binding sites prediction☆18Updated last year
- A novel graph neural network strategy with the Vina distance optimization terms to predict protein-ligand binding affinity☆31Updated last year
- This is The repository for Paper "AttentionSiteDTI: Attention Based Model for Predicting Drug-Target Interaction Using Graph Representati…☆44Updated last year