Privileged Scaffold Analysis of Natural Products with Deep Learning‐based Indication Prediction Model-Reference-Cited by-同舟云学术

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Privileged Scaffold Analysis of Natural Products with Deep Learning‐based Indication Prediction Model

Published:2020-05-14 Issue:11 Volume:39 Page:2000057
ISSN:1868-1743
Container-title:Molecular Informatics
language:en
Short-container-title:Mol. Inf.

Author:

Lai Junyong¹,Hu Jianxing¹,Wang Yanxing¹,Zhou Xin¹,Li Yibo²,Zhang Liangren¹,Liu Zhenming¹^ORCID

Affiliation:

1. State Key Laboratory of Natural and Biomimetic Drugs School of Pharmaceutical Sciences Peking University Beijing 100191 P. R. China

2. Academy for Advanced Interdisciplinary Studies Peking University Beijing 100191 P. R. China

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

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

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/minf.202000057

Reference31 articles.

1. Natural Products as Sources of New Drugs over the Nearly Four Decades from 01/1981 to 09/2019

2. Drug Discovery and Natural Products: End of an Era or an Endless Frontier?

3. Counting on natural products for drug design

4. Scaffold Architecture and Pharmacophoric Properties of Natural Products and Trade Drugs: Application in the Design of Natural Product-Based Combinatorial Libraries

5. A ‘Rule of Three’ for fragment-based lead discovery?

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