Open Access
Open access
том 1 издание 1 номер публикации 8

Estimation of synthetic accessibility score of drug-like molecules based on molecular complexity and fragment contributions

Peter Ertl 1
Ansgar Schuffenhauer 1
Тип публикацииJournal Article
Дата публикации2009-06-10
scimago Q1
wos Q1
БС1
SJR1.570
CiteScore11.3
Impact factor5.7
ISSN17582946
Physical and Theoretical Chemistry
Computer Science Applications
Library and Information Sciences
Computer Graphics and Computer-Aided Design
Краткое описание
A method to estimate ease of synthesis (synthetic accessibility) of drug-like molecules is needed in many areas of the drug discovery process. The development and validation of such a method that is able to characterize molecule synthetic accessibility as a score between 1 (easy to make) and 10 (very difficult to make) is described in this article. The method for estimation of the synthetic accessibility score (SAscore) described here is based on a combination of fragment contributions and a complexity penalty. Fragment contributions have been calculated based on the analysis of one million representative molecules from PubChem and therefore one can say that they capture historical synthetic knowledge stored in this database. The molecular complexity score takes into account the presence of non-standard structural features, such as large rings, non-standard ring fusions, stereocomplexity and molecule size. The method has been validated by comparing calculated SAscores with ease of synthesis as estimated by experienced medicinal chemists for a set of 40 molecules. The agreement between calculated and manually estimated synthetic accessibility is very good with r2 = 0.89. A novel method to estimate synthetic accessibility of molecules has been developed. This method uses historical synthetic knowledge obtained by analyzing information from millions of already synthesized chemicals and considers also molecule complexity. The method is sufficiently fast and provides results consistent with estimation of ease of synthesis by experienced medicinal chemists. The calculated SAscore may be used to support various drug discovery processes where a large number of molecules needs to be ranked based on their synthetic accessibility, for example when purchasing samples for screening, selecting hits from high-throughput screening for follow-up, or ranking molecules generated by various de novo design approaches.
Найдено 
Найдено 

Топ-30

Журналы

20
40
60
80
100
120
140
160
Journal of Chemical Information and Modeling
145 публикаций, 10.88%
Journal of Cheminformatics
65 публикаций, 4.88%
Journal of Biomolecular Structure and Dynamics
28 публикаций, 2.1%
Chemical Science
26 публикаций, 1.95%
Journal of Medicinal Chemistry
22 публикации, 1.65%
Digital Discovery
22 публикации, 1.65%
Nature Communications
21 публикация, 1.58%
International Journal of Molecular Sciences
19 публикаций, 1.43%
ACS Omega
19 публикаций, 1.43%
Nature Machine Intelligence
18 публикаций, 1.35%
Scientific Reports
17 публикаций, 1.28%
Molecules
16 публикаций, 1.2%
Molecular Informatics
14 публикаций, 1.05%
Briefings in Bioinformatics
14 публикаций, 1.05%
Molecular Diversity
13 публикаций, 0.98%
Journal of Computer-Aided Molecular Design
12 публикаций, 0.9%
Communications Chemistry
11 публикаций, 0.83%
ChemistrySelect
11 публикаций, 0.83%
Lecture Notes in Computer Science
11 публикаций, 0.83%
Journal of Molecular Structure
10 публикаций, 0.75%
Chemistry and Biodiversity
10 публикаций, 0.75%
Bioinformatics
10 публикаций, 0.75%
npj Computational Materials
9 публикаций, 0.68%
Expert Opinion on Drug Discovery
9 публикаций, 0.68%
Methods in Molecular Biology
9 публикаций, 0.68%
Computers in Biology and Medicine
8 публикаций, 0.6%
European Journal of Medicinal Chemistry
8 публикаций, 0.6%
Angewandte Chemie
8 публикаций, 0.6%
Angewandte Chemie - International Edition
8 публикаций, 0.6%
20
40
60
80
100
120
140
160

Издатели

50
100
150
200
250
300
American Chemical Society (ACS)
279 публикаций, 20.93%
Springer Nature
277 публикаций, 20.78%
Elsevier
215 публикаций, 16.13%
Wiley
108 публикаций, 8.1%
Royal Society of Chemistry (RSC)
84 публикации, 6.3%
MDPI
71 публикация, 5.33%
Taylor & Francis
56 публикаций, 4.2%
Cold Spring Harbor Laboratory
49 публикаций, 3.68%
Oxford University Press
37 публикаций, 2.78%
Institute of Electrical and Electronics Engineers (IEEE)
35 публикаций, 2.63%
Frontiers Media S.A.
17 публикаций, 1.28%
Bentham Science Publishers Ltd.
13 публикаций, 0.98%
Association for Computing Machinery (ACM)
10 публикаций, 0.75%
Public Library of Science (PLoS)
6 публикаций, 0.45%
Pleiades Publishing
6 публикаций, 0.45%
F1000 Research
5 публикаций, 0.38%
AIP Publishing
4 публикации, 0.3%
PeerJ
4 публикации, 0.3%
IOP Publishing
4 публикации, 0.3%
American Association for the Advancement of Science (AAAS)
4 публикации, 0.3%
SAGE
3 публикации, 0.23%
Hindawi Limited
3 публикации, 0.23%
Asian Journal of Chemistry
3 публикации, 0.23%
Cambridge University Press
2 публикации, 0.15%
King Saud University
2 публикации, 0.15%
OAE Publishing Inc.
2 публикации, 0.15%
Portland Press
1 публикация, 0.08%
The Russian Academy of Sciences
1 публикация, 0.08%
Taiwan Institute of Chemical Engineers
1 публикация, 0.08%
50
100
150
200
250
300
  • Мы не учитываем публикации, у которых нет DOI.
  • Статистика публикаций обновляется еженедельно.

Вы ученый?

Создайте профиль, чтобы получать персональные рекомендации коллег, конференций и новых статей.
Метрики
1.3k
Поделиться
Цитировать
ГОСТ |
Цитировать
Ertl P., Schuffenhauer A. Estimation of synthetic accessibility score of drug-like molecules based on molecular complexity and fragment contributions // Journal of Cheminformatics. 2009. Vol. 1. No. 1. 8
ГОСТ со всеми авторами (до 50) Скопировать
Ertl P., Schuffenhauer A. Estimation of synthetic accessibility score of drug-like molecules based on molecular complexity and fragment contributions // Journal of Cheminformatics. 2009. Vol. 1. No. 1. 8
RIS |
Цитировать
TY - JOUR
DO - 10.1186/1758-2946-1-8
UR - https://doi.org/10.1186/1758-2946-1-8
TI - Estimation of synthetic accessibility score of drug-like molecules based on molecular complexity and fragment contributions
T2 - Journal of Cheminformatics
AU - Ertl, Peter
AU - Schuffenhauer, Ansgar
PY - 2009
DA - 2009/06/10
PB - Springer Nature
IS - 1
VL - 1
PMID - 20298526
SN - 1758-2946
ER -
BibTex
Цитировать
BibTex (до 50 авторов) Скопировать
@article{2009_Ertl,
author = {Peter Ertl and Ansgar Schuffenhauer},
title = {Estimation of synthetic accessibility score of drug-like molecules based on molecular complexity and fragment contributions},
journal = {Journal of Cheminformatics},
year = {2009},
volume = {1},
publisher = {Springer Nature},
month = {jun},
url = {https://doi.org/10.1186/1758-2946-1-8},
number = {1},
pages = {8},
doi = {10.1186/1758-2946-1-8}
}