Exploiting Structural Information in Patent Specifications for Key Compound Prediction-Reference-Cited by-同舟云学术

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Exploiting Structural Information in Patent Specifications for Key Compound Prediction

Published:2012-06-11 Issue:6 Volume:52 Page:1480-1489
ISSN:1549-9596
Container-title:Journal of Chemical Information and Modeling
language:en
Short-container-title:J. Chem. Inf. Model.

Author:

Tyrchan Christian¹,Boström Jonas¹,Giordanetto Fabrizio¹,Winter Jon²,Muresan Sorel³

Affiliation:

1. AstraZeneca R&D, CVGI iMed, Pepparedsleden 1, S-431 83 Mölndal, Sweden

2. AstraZeneca R&D, Oncology iMed, Alderley Park, Macclesfield, Cheshire, SK10 4TG, United Kingdom

3. AstraZeneca R&D, Discovery Sciences Computational Sciences, Pepparedsleden 1, S-431 83 Mölndal, Sweden

Publisher

American Chemical Society (ACS)

Subject

Library and Information Sciences,Computer Science Applications,General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/ci3001293

Reference35 articles.

1. Predicting Key Example Compounds in Competitors' Patent Applications Using Structural Information Alone

2. Basic Overview of Chemoinformatics

3. Quantitative assessment of the expanding complementarity between public and commercial databases of bioactive compounds

4. Chemistry publication – making the revolution

5. Competitiveness in follow-on drug R&D: a race or imitation?

Cited by 17 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. PatCID: an open-access dataset of chemical structures in patent documents;Nature Communications;2024-08-02

2. PatentNetML: A Novel Framework for Predicting Key Compounds in Patents Using Network Science and Machine Learning;Journal of Medicinal Chemistry;2024-01-05

3. Illuminating the druggable genome through patent bioactivity data;PeerJ;2023-05-02

4. Illuminating the Druggable Genome through Patent Bioactivity Data;2022-07-18

5. Optimization of an Imidazo[1,2-a]pyridine Series to Afford Highly Selective Type I1/2 Dual Mer/Axl Kinase Inhibitors with In Vivo Efficacy;Journal of Medicinal Chemistry;2021-09-03

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