CFam Chemical Families Database
BIDD Pharmainformatics Databases
Click on CFAM IDs and names to search or view in CFAM, click on external IDs to view the entity in its source database.

CFam Family Information

CFAM Family ID CFFBM10270
Family Name Acetylcholinesterase and Cholinesterase inhibitor N-[10-[(6-chloro-1,2,3,4-tetrahydroacridin-9-yl)amino]decyl]-5-hydroxy-7-methoxy-4-oxochromene-2-carboxamide;hydrochloride family
No. of Seeds 6 No. of Other Members 0
Family Centroid CFAMM00400843 Functional Category Bioactive
Superfamily Acetylcholinesterase and Cholinesterase Binder Superfamily 2
Class Class 3421

Cousin Family NamesSeedsMembers
Muscarinic acetylcholine receptor M2 and Acetylcholinesterase ... 4 24
Acetylcholinesterase and Muscarinic acetylcholine receptor M2 ... 2 7
5-hydroxytryptamine receptor 1D and 5-hydroxytryptamine recept... 3 21
Cholinesterase and Acetylcholinesterase inhibitor 4-oxo-N-[9-(... 11 13
Cholinesterase and Acetylcholinesterase inhibitor 5-hydroxy-7-... 5 19
Acetylcholinesterase and Cholinesterase inhibitor 5-methoxy-7-... 1 18
Acetylcholinesterase and Cholinesterase inhibitor AGN-PC-073E7... 2 4
Acetylcholinesterase and Cholinesterase inhibitor AGN-PC-077PI... 4 0


External ID

Functional Category

Molecule Name

CFAMM00400867 CHEMBL2019049 Bioactive N-[10-[(6-chloro-1,2,3,4-tetrahydroacridin-9-yl)amino]decyl]-5,7-dihydroxy-4-oxochromene-2-carboxamide;hydrochloride

Statistics of CFAM Database

CFAM currently contains 490,279 molecules in 87,136 families, 34,880 superfamilies and 11,643 classes.

How to cite our database

C. Zhang, L. Tao, C. Qin, P. Zhang, S.Y. Chen, X. Zeng, F. Xu, Z. Chen, S.Y. Yang and Y.Z. CFam: A Chemical Families Database Based on Iterative Selection of Functional Seeds and Seed-Directed Compound Clustering. Nucl. Acids Res. 43 (D1): D558-D565 (2015) (First published online: November 20, 2014).

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Dr. Chen Yuzong

Deputy Director of Center for Computational Science and Engineering
Professor in Department of Pharmacy
National University of Singapore, Singapore

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Computer-aided Drug Design
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