FingerDTA: A Fingerprint-Embedding Framework for Drug-Target Binding Affinity Prediction

Author:

Zhu Xuekai1,Liu Juan1,Zhang Jian1,Yang Zhihui1,Yang Feng1,Zhang Xiaolei1

Affiliation:

1. School of Computer Science, Wuhan University,Wuhan,China,430072

Publisher

Tsinghua University Press

Subject

Artificial Intelligence,Computer Networks and Communications,Computer Science Applications,Information Systems

Reference31 articles.

1. Identification of inhibitors of SARS-Cov-2 in-vitro cellular toxicity in human (Caco-2) cells using a large scale drug repurposing collection;ellinger;ResearchSquare preprint ResearchSquare rs 3 rs-23951/v1,2020

2. Revealing Drug-Target Interactions with Computational Models and Algorithms

3. Interpretable Prediction of Protein-Ligand Interaction by Convolutional Neural Network

4. Comprehensive analysis of kinase inhibitor selectivity

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1. ImageDTA: A Simple Model for Drug–Target Binding Affinity Prediction;ACS Omega;2024-06-24

2. Prediction of Drug-Target Affinity Using Attention Neural Network;International Journal of Molecular Sciences;2024-05-08

3. Detecting Side Effects of Adverse Drug Reactions Through Drug-Drug Interactions Using Graph Neural Networks and Self-Supervised Learning;IEEE Access;2024

4. Predicting Protein-Ligand Binding Affinity with Multi-Scale Structural Features;2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM);2023-12-05

5. De Novo Molecular Structure Generation from Mass Spectra;2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM);2023-12-05

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