DeepBBBP: High Accuracy Blood‐brain‐barrier Permeability Prediction with a Mixed Deep Learning Model-Reference-Cited by-同舟云学术

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DeepBBBP: High Accuracy Blood‐brain‐barrier Permeability Prediction with a Mixed Deep Learning Model

Published:2022-04-25 Issue:10 Volume:41 Page:2100315
ISSN:1868-1743
Container-title:Molecular Informatics
language:en
Short-container-title:Molecular Informatics

Author:

Cherian Parakkal Sheryl¹,Datta Riya¹^ORCID,Das Dibyendu²

Affiliation:

1. Department of Chemistry CHRIST (Deemed to be University) Hosur Road Bengaluru 560029 India

2. Intel Bengaluru 560103 India

Publisher

Wiley

Subject

Organic Chemistry,Computer Science Applications,Drug Discovery,Molecular Medicine,Structural Biology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/minf.202100315

Reference45 articles.

1. Use of machine learning approaches for novel drug discovery

2. A Recurrent Neural Network model to predict blood–brain barrier permeability

3. A Review of Methods for Computational Prediction of Blood-Brain Partitioning

4. Qualitative prediction of blood–brain barrier permeability on a large and refined dataset

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4. An Effective Ensemble Deep Learning Framework for Blood-brain Barrier Permeability Prediction;2024 IEEE Conference on Artificial Intelligence (CAI);2024-06-25

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