Multi-modal co-attention for drug-target interaction annotation and Its Application to SARS-CoV-2

Last update: Nov 14, 2022

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Deep Learning CoaDTI

Overview

CoaDTI

Multi-modal co-attention for drug-target interaction annotation and Its Application to SARS-CoV-2

Abstract

Environment

The test was conducted in the linux server with GTX2080Ti and the running environment is as follows:

python 3.7
pytorch 1.7.1
rdkit
pytorch geometric 1.6.3
Cuda 10.0.130

Data

Human dataset

C.elegans dataset

Binding_DB dataset

How to run

CoaDTI

Run ./code/data_prepare.py to preprocess the dataset.
Run ./code/train.py to train the CoaDTI.

CoaDTI-pro

Run ./code/data_prepare.py to preprocess the dataset.
Run ./code/train.py to train the CoaDTI-pro.

Owner

Layne_Huang

Bioinformatics, BioNLP

GitHub Repository

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Multi-modal co-attention for drug-target interaction annotation and Its Application to SARS-CoV-2

Related tags

Overview

CoaDTI

Abstract

Environment

Data

Human dataset

C.elegans dataset

Binding_DB dataset

How to run

CoaDTI

CoaDTI-pro

Owner

Layne_Huang

[SIGGRAPH Asia 2021] DeepVecFont: Synthesizing High-quality Vector Fonts via Dual-modality Learning.

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Anomaly detection related books, papers, videos, and toolboxes

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ACL'2021: LM-BFF: Better Few-shot Fine-tuning of Language Models

Official PyTorch implementation of "Improving Face Recognition with Large AgeGaps by Learning to Distinguish Children" (BMVC 2021)

Implementation of a Transformer using ReLA (Rectified Linear Attention)

Implementation of Advantage-Weighted Regression: Simple and Scalable Off-Policy Reinforcement Learning

How to Become More Salient? Surfacing Representation Biases of the Saliency Prediction Model

Code for the TIP 2021 Paper "Salient Object Detection with Purificatory Mechanism and Structural Similarity Loss"

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