The rise of deep learning and transformations in bioactivity prediction power of molecular modeling tools-Reference-Cited by-同舟云学术

The rise of deep learning and transformations in bioactivity prediction power of molecular modeling tools

Published:2021-09-16 Issue:5 Volume:98 Page:954-967
ISSN:1747-0277
Container-title:Chemical Biology & Drug Design
language:en
Short-container-title:Chem Biol Drug Des

Author:

Bule Mohammed¹²³^ORCID,Jalalimanesh Nafiseh³,Bayrami Zahra³,Baeeri Maryam³,Abdollahi Mohammad³⁴^ORCID

Affiliation:

1. Department of Pharmacy College of Medicine and Health Sciences Ambo University Ambo Ethiopia

2. Department of Medicinal Chemistry School of Pharmacy Tehran University of Medical Sciences Tehran Iran

3. Toxicology and Diseases Group Pharmaceutical Sciences Research Center (PSRC) The Institute of Pharmaceutical Sciences (TIPS) Tehran University of Medical Sciences Tehran Iran

4. Department of Toxicology and Pharmacology School of Pharmacy Tehran University of Medical Sciences Tehran Iran

Publisher

Wiley

Subject

Molecular Medicine,Biochemistry,Drug Discovery,Pharmacology,Organic Chemistry

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/cbdd.13750

Reference109 articles.

1. State-of-the-art in artificial neural network applications: A survey

2. Accurate refinement of docked protein complexes using evolutionary information and deep learning

3. iNNvestigate neural networks!;Alber M.;Journal of Machine Learning Research,2019

4. In silicoADME-Tox modeling: progress and prospects

5. BgN-Score and BsN-Score: Bagging and boosting based ensemble neural networks scoring functions for accurate binding affinity prediction of protein-ligand complexes

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