NPASS Compound

Natural Product: NPC472671

Natural Product ID	NPC472671
Common Name ? The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.	FELAVPUOQIPQFP-KKALZLLWSA-N
IUPAC Name	n.a.
Synonyms
Synthetic Gene Cluster	n.a.
ChEMBL Identifier	CHEMBL3581416
PubChem CID	n.a.
Chemical Classification	CHEMONTID:0000000 [Organic compounds] [CHEMONTID:0000012] Lipids and lipid-like molecules [CHEMONTID:0003909] Fatty Acyls [CHEMONTID:0000324] Fatty acid esters

The Chemical Classification was calculated by Classyfire, a software for chemical taxonomy calculation. Reference: DOI:10.1186/s13321-016-0174-y.

Chemical Representations

RDKit 3D 83 88 0 0 0 0 0 0 0 0999 V2000 -6.0848 -4.8489 1.1323 C 0 0 0 0 0 0 0 0 0 0 0 0 -5.5626 -3.4814 1.1220 C 0 0 0 0 0 0 0 0 0 0 0 0 -4.4192 -3.1533 0.5414 C 0 0 0 0 0 0 0 0 0 0 0 0 -3.6355 -4.2117 -0.1254 C 0 0 0 0 0 0 0 0 0 0 0 0 -3.9496 -1.7724 0.5626 C 0 0 0 0 0 0 0 0 0 0 0 0 -4.6133 -0.8728 1.1253 O 0 0 0 0 0 0 0 0 0 0 0 0 -2.7706 -1.4090 -0.0295 O 0 0 0 0 0 0 0 0 0 0 0 0 -2.2232 -0.1619 -0.0729 C 0 0 0 0 0 0 0 0 0 0 0 0 -2.3786 0.5542 -1.4036 C 0 0 0 0 0 0 0 0 0 0 0 0 -2.5660 2.0251 -1.1007 C 0 0 0 0 0 0 0 0 0 0 0 0 -1.9197 2.4109 0.1740 C 0 0 0 0 0 0 0 0 0 0 0 0 -1.1538 3.7107 -0.1679 C 0 0 0 0 0 0 0 0 0 0 0 0 -0.2143 3.1344 -1.0269 O 0 0 0 0 0 0 0 0 0 0 0 0 0.3623 2.2213 -0.1005 C 0 0 0 0 0 0 0 0 0 0 0 0 -0.7451 1.5857 0.6381 C 0 0 0 0 0 0 0 0 0 0 0 0 -0.9094 0.1084 0.6087 C 0 0 0 0 0 0 0 0 0 0 0 0 0.2875 -0.7020 0.1723 C 0 0 0 0 0 0 0 0 0 0 0 0 0.0588 -1.4748 -1.0537 C 0 0 0 0 0 0 0 0 0 0 0 0 0.8284 -1.9513 -2.0180 C 0 0 0 0 0 0 0 0 0 0 0 0 2.2036 -1.8244 -2.1203 O 0 0 0 0 0 0 0 0 0 0 0 0 3.0727 -1.8054 -0.9889 C 0 0 0 0 0 0 0 0 0 0 0 0 4.4442 -1.7683 -1.5156 C 0 0 0 0 0 0 0 0 0 0 0 0 5.0392 -0.6814 -0.7378 C 0 0 0 0 0 0 0 0 0 0 0 0 3.9234 0.1679 -0.1593 C 0 0 0 0 0 0 0 0 0 0 0 0 2.7742 -0.5116 -0.3166 C 0 0 0 0 0 0 0 0 0 0 0 0 1.5524 0.1330 0.1862 C 0 0 0 0 0 0 0 0 0 0 0 0 1.2611 1.2540 -0.7337 C 0 0 0 0 0 0 0 0 0 0 0 0 2.3371 1.7852 -1.4358 O 0 0 0 0 0 0 0 0 0 0 0 0 1.8392 0.4109 1.6250 C 0 0 0 0 0 0 0 0 0 0 0 0 4.3562 1.4327 0.3919 C 0 0 0 0 0 0 0 0 0 0 0 0 5.9698 -1.1024 0.3227 C 0 0 0 0 0 0 0 0 0 0 0 0 5.7343 -1.8892 1.4320 C 0 0 0 0 0 0 0 0 0 0 0 0 6.8389 -2.0052 2.0994 O 0 0 0 0 0 0 0 0 0 0 0 0 7.8236 -1.3579 1.5367 C 0 0 0 0 0 0 0 0 0 0 0 0 7.3049 -0.7733 0.4055 C 0 0 0 0 0 0 0 0 0 0 0 0 -1.1837 -0.3113 2.0688 C 0 0 0 0 0 0 0 0 0 0 0 0 -2.8844 2.7521 1.2858 C 0 0 0 0 0 0 0 0 0 0 0 0 -2.2223 2.8275 -2.2239 O 0 0 0 0 0 0 0 0 0 0 0 0 -3.1251 3.6419 -2.8946 C 0 0 0 0 0 0 0 0 0 0 0 0 -4.3164 3.6296 -2.4317 O 0 0 0 0 0 0 0 0 0 0 0 0 -2.7629 4.4777 -4.0675 C 0 0 0 0 0 0 0 0 0 0 0 0 -7.1629 -4.8258 1.3704 H 0 0 0 0 0 0 0 0 0 0 0 0 -5.9980 -5.2275 0.0742 H 0 0 0 0 0 0 0 0 0 0 0 0 -5.4968 -5.5427 1.7596 H 0 0 0 0 0 0 0 0 0 0 0 0 -6.1418 -2.6995 1.6157 H 0 0 0 0 0 0 0 0 0 0 0 0 -3.3399 -4.9439 0.6772 H 0 0 0 0 0 0 0 0 0 0 0 0 -2.6796 -3.8325 -0.5360 H 0 0 0 0 0 0 0 0 0 0 0 0 -4.1944 -4.7799 -0.8764 H 0 0 0 0 0 0 0 0 0 0 0 0 -2.9759 0.4318 0.5573 H 0 0 0 0 0 0 0 0 0 0 0 0 -1.5891 0.3625 -2.1243 H 0 0 0 0 0 0 0 0 0 0 0 0 -3.3906 0.2206 -1.7821 H 0 0 0 0 0 0 0 0 0 0 0 0 -3.6699 2.2302 -0.9374 H 0 0 0 0 0 0 0 0 0 0 0 0 -1.8243 4.4220 -0.6715 H 0 0 0 0 0 0 0 0 0 0 0 0 -0.6615 4.1205 0.7308 H 0 0 0 0 0 0 0 0 0 0 0 0 0.9905 2.9282 0.5224 H 0 0 0 0 0 0 0 0 0 0 0 0 -0.6510 1.9496 1.7111 H 0 0 0 0 0 0 0 0 0 0 0 0 0.5421 -1.5152 0.9115 H 0 0 0 0 0 0 0 0 0 0 0 0 -0.9857 -1.7371 -1.2357 H 0 0 0 0 0 0 0 0 0 0 0 0 0.3085 -2.4963 -2.8030 H 0 0 0 0 0 0 0 0 0 0 0 0 2.8705 -2.6371 -0.2779 H 0 0 0 0 0 0 0 0 0 0 0 0 4.9405 -2.7592 -1.2967 H 0 0 0 0 0 0 0 0 0 0 0 0 4.5264 -1.6649 -2.6266 H 0 0 0 0 0 0 0 0 0 0 0 0 5.6350 -0.0615 -1.4753 H 0 0 0 0 0 0 0 0 0 0 0 0 0.6811 0.7994 -1.6077 H 0 0 0 0 0 0 0 0 0 0 0 0 2.0812 2.6937 -1.7412 H 0 0 0 0 0 0 0 0 0 0 0 0 2.9240 0.2114 1.9234 H 0 0 0 0 0 0 0 0 0 0 0 0 1.6096 1.3609 2.0482 H 0 0 0 0 0 0 0 0 0 0 0 0 1.3516 -0.3576 2.3071 H 0 0 0 0 0 0 0 0 0 0 0 0 5.1598 1.2318 1.1695 H 0 0 0 0 0 0 0 0 0 0 0 0 3.6991 2.1335 0.8422 H 0 0 0 0 0 0 0 0 0 0 0 0 4.9295 2.0174 -0.3952 H 0 0 0 0 0 0 0 0 0 0 0 0 4.7609 -2.3162 1.6599 H 0 0 0 0 0 0 0 0 0 0 0 0 8.8630 -1.2516 1.8323 H 0 0 0 0 0 0 0 0 0 0 0 0 7.8697 -0.1529 -0.3013 H 0 0 0 0 0 0 0 0 0 0 0 0 -0.8018 -1.2927 2.3178 H 0 0 0 0 0 0 0 0 0 0 0 0 -2.2690 -0.3276 2.3035 H 0 0 0 0 0 0 0 0 0 0 0 0 -0.7705 0.4328 2.7894 H 0 0 0 0 0 0 0 0 0 0 0 0 -2.5946 2.1519 2.1850 H 0 0 0 0 0 0 0 0 0 0 0 0 -2.7741 3.8093 1.5864 H 0 0 0 0 0 0 0 0 0 0 0 0 -3.9458 2.5951 0.9977 H 0 0 0 0 0 0 0 0 0 0 0 0 -2.0675 3.9664 -4.7638 H 0 0 0 0 0 0 0 0 0 0 0 0 -2.3958 5.4615 -3.7255 H 0 0 0 0 0 0 0 0 0 0 0 0 -3.7338 4.6973 -4.5979 H 0 0 0 0 0 0 0 0 0 0 0 0 1 2 1 0 2 3 2 3 3 4 1 0 3 5 1 0 5 6 2 0 5 7 1 0 7 8 1 0 8 9 1 0 9 10 1 0 10 11 1 0 11 12 1 0 12 13 1 0 13 14 1 0 14 15 1 0 15 16 1 0 16 17 1 0 17 18 1 0 18 19 2 0 19 20 1 0 20 21 1 0 21 22 1 0 22 23 1 0 23 24 1 0 24 25 2 0 25 26 1 0 26 27 1 0 27 28 1 0 26 29 1 0 24 30 1 0 23 31 1 0 31 32 2 0 32 33 1 0 33 34 1 0 34 35 2 0 16 36 1 0 11 37 1 0 10 38 1 0 38 39 1 0 39 40 2 0 39 41 1 0 16 8 1 0 15 11 1 0 27 14 1 0 26 17 1 0 25 21 1 0 35 31 1 0 1 42 1 0 1 43 1 0 1 44 1 0 2 45 1 0 4 46 1 0 4 47 1 0 4 48 1 0 8 49 1 0 9 50 1 0 9 51 1 0 10 52 1 0 12 53 1 0 12 54 1 0 14 55 1 0 15 56 1 0 17 57 1 0 18 58 1 0 19 59 1 0 21 60 1 0 22 61 1 0 22 62 1 0 23 63 1 0 27 64 1 0 28 65 1 0 29 66 1 0 29 67 1 0 29 68 1 0 30 69 1 0 30 70 1 0 30 71 1 0 32 72 1 0 34 73 1 0 35 74 1 0 36 75 1 0 36 76 1 0 36 77 1 0 37 78 1 0 37 79 1 0 37 80 1 0 41 81 1 0 41 82 1 0 41 83 1 0 M END

Standard InCHIKey	FELAVPUOQIPQFP-KKALZLLWSA-N
Standard InCHI	InChI=1S/C33H42O8/c1-8-17(2)30(36)41-25-14-24(40-19(4)34)31(5)16-39-27-28(31)32(25,6)23-10-12-38-22-13-21(20-9-11-37-15-20)18(3)26(22)33(23,7)29(27)35/h8-12,15,21-25,27-29,35H,13-14,16H2,1-7H3/b17-8+/t21-,22+,23-,24-,25+,27-,28+,29-,31-,32+,33-/m1/s1
SMILES	CC=C(C)C(=O)OC1CC(C2(COC3C2C1(C4C=COC5CC(C(=C5C4(C3O)C)C)C6=COC=C6)C)C)OC(=O)C

Calculated Properties

Physi-Chem Properties

MedChem Properties

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

ADMET: Distribution

ADMET: Metabolism

ADMET: Excretion

ADMET: Toxicity

Species Source

Organism ID	Organism Name	Taxonomy Level	Family	SuperKingdom	Isolation Part	Collection Location	Collection Time	Reference
NPO9173	Munronia henryi	Species	Meliaceae	Eukaryota	whole plants	Wenshan, Yunnan Province, China	2012-Nov	PMID[25798528]
NPO9173	Munronia henryi	Species	Meliaceae	Eukaryota	n.a.	n.a.	n.a.	Database[COCONUT]
NPO9173	Munronia henryi	Species	Meliaceae	Eukaryota	n.a.	n.a.	n.a.	Database[UNPD]

Note for Reference:
In addition to directly collecting NP source organism data from primary literature (where reference will provided as NCBI PMID or DOI links), NPASS also integrated them from below databases:
☉ UNPD: Universal Natural Products Database [PMID: 23638153].
☉ StreptomeDB: a database of streptomycetes natural products [PMID: 33051671].
☉ TM-MC: a database of medicinal materials and chemical compounds in Northeast Asian traditional medicine [PMID: 26156871].
☉ TCM@Taiwan: a Traditional Chinese Medicine database [PMID: 21253603].
☉ TCMID: a Traditional Chinese Medicine database [PMID: 29106634].
☉ TCMSP: The traditional Chinese medicine systems pharmacology database and analysis platform [PMID: 24735618].
☉ HerDing: a herb recommendation system to treat diseases using genes and chemicals [PMID: 26980517].
☉ MetaboLights: a metabolomics database [PMID: 27010336].
☉ FooDB: a database of constituents, chemistry and biology of food species [www.foodb.ca].

NP Quantity Composition/Concentration

Organism ID	Organism Name	Organism Material Preparation	Organism Part	NP Quantity (Standard)	NP Quantity (Minimum)	NP Quantity (Maximum)	Quantity Unit	Reference

Note for Reference:
In addition to directly collecting NP quantitative data from primary literature (where reference will provided as NCBI PMID or DOI links), NPASS also integrated NP quantitative records for specific NP domains (e.g., NPS from foods or herbs) from domain-specific databases. These databases include:
☉ DUKE: Dr. Duke's Phytochemical and Ethnobotanical Databases.
☉ PHENOL EXPLORER: is the first comprehensive database on polyphenol content in foods [PMID: 24103452], its homepage can be accessed at here.
☉ FooDB: a database of constituents, chemistry and biology of food species [www.foodb.ca].

Biological Activity

Activity Type	# Activity
Inhibition	4
IC50	5

Activity Type	# Activity
Cell line	5
Organism	4

Molecular-level activity

Target ID	Target Type	Target Name	Target Organism	Activity Type	Activity Relation	Value	Unit	Reference

In vitro activity

Target ID	Target Type	Target Name	Target Organism	Activity Type	Activity Relation	Value	Unit	Reference
NPT116	Cell line	HL-60	Homo sapiens	IC50	>	10000.0	nM	PMID[18975929]
NPT659	Cell line	SMMC-7721	Homo sapiens	IC50	>	10000.0	nM	PMID[23398362]
NPT81	Cell line	A549	Homo sapiens	IC50	>	10000.0	nM	PMID[15161186]
NPT83	Cell line	MCF7	Homo sapiens	IC50	>	10000.0	nM	PMID[17958396]
NPT660	Cell line	SW480	Homo sapiens	IC50	>	10000.0	nM	PMID[19647352]
NPT786	Organism	Tobacco mosaic virus	Tobacco mosaic virus	Inhibition	=	49.3	%	PMID[18077363]
NPT786	Organism	Tobacco mosaic virus	Tobacco mosaic virus	Inhibition	=	38.5	%	PMID[18838581]
NPT786	Organism	Tobacco mosaic virus	Tobacco mosaic virus	Inhibition	=	24.7	%	DrugMatrix in vivo data: Pathology
NPT786	Organism	Tobacco mosaic virus	Tobacco mosaic virus	Inhibition	=	20.1	%	PMID[23489626]

In vivo activity

Target ID	Target Type	Target Name	Target Organism	Activity Type	Activity Relation	Value	Unit	Reference

Experimental ADME

Experiment Model	Experiment Tissue	ADME Type	ADME Relation	ADME Value	ADME Unit	Reference

Experimental Toxicity

Quantitative toxicity

Experiment Model	Experiment Organism	Toxicity Type	Toxicity Relation	Toxicity Value	Toxicity Unit	Reference

Common Abbreviations:
LC: Lethal Concentration; LD: Lethal Dose; LT:Lethal Time; NOAEL: No-observed-adverse-effect Level; BMDL: Benchmark Dose Lower Confidence Limit; BMD: Benchmark Dose; BMC:Benchmark Concentration; LOAEL: Lowest Observed Adverse Effect Level; RfD:Reference Dose; RfC:Reference Concentration; MRL: Minimal Risk Level; MEG: Maximum Exposure Guideline; PAC: Protective Action Criteria

Categorical toxicity labels

Hepatotoxicity	Carcinogenicity	Mutagenicity	Cardiotoxicity	Respiratory Toxicity	Eye Irritation	Endocrine Disruption

Note for Reference:
In addition to directly collecting NP quantitative data from primary literature (where reference will provided as NCBI PMID or DOI links), NPASS also integrated NP toxicity records from domain-specific databases. These databases include:
☉ ToxValDB: a curated database that compiles quantitative toxicity values for chemicals from diverse public sources to support toxicological research and risk assessment.
☉ TOXRIC: a comprehensive, free-to-access, online database providing toxicological/feature data. The toxicity labels are retrieved from this database. [PMID: 36400569]

Chemically structural similarity

Similar Active Natural Products in NPASS

Top-200 similar NPs were calculated against the active-NP-set (includes approximately 50,000 NPs with experimentally-derived bioactivity available in NPASS)

Similarity is measured using the Tanimoto coefficient (Tc) , which compares the binary fingerprints of two molecules. Tc is calculated as the intersection divided by the union of '1' bits in the fingerprints, ranging from 0 to 1, with 1 indicating highest similarity.

● The left chart: Distribution of similarity level between NPC472671 and all remaining natural products in the NPASS database.
● The right table: Most similar natural products (Tc>=0.5 or Top200).

range	Tanimoto Coefficient
0-0.1	13502
0.1-0.2	34745
0.2-0.3	1520
0.3-0.4	50
0.4-0.5	17
0.5-0.6	13
0.6-0.7	4
0.7-0.8	0
0.8-0.85	0
0.85-0.9	0
0.9-0.95	0
0.95-1	0

Similarity Score	Similarity Level	Natural Product ID
0.7586	Intermediate Similarity	NPC610307
0.7333	Intermediate Similarity	NPC608851
0.7174	Intermediate Similarity	NPC307781
0.7174	Intermediate Similarity	NPC472670
0.7174	Intermediate Similarity	NPC264690
0.7174	Intermediate Similarity	NPC601577
0.6782	Remote Similarity	NPC601664
0.6211	Remote Similarity	NPC599832
0.6042	Remote Similarity	NPC470792
0.6022	Remote Similarity	NPC29695
0.5914	Remote Similarity	NPC182427
0.5859	Remote Similarity	NPC608643
0.5773	Remote Similarity	NPC308205
0.5758	Remote Similarity	NPC610301
0.5577	Remote Similarity	NPC11062
0.549	Remote Similarity	NPC472673
0.5385	Remote Similarity	NPC27541
0.5312	Remote Similarity	NPC34421
0.5312	Remote Similarity	NPC237259
0.5253	Remote Similarity	NPC475066
0.5204	Remote Similarity	NPC98206
0.5152	Remote Similarity	NPC609027
0.5143	Remote Similarity	NPC126984

Similar Clinical/Approved Drugs

Similarity level is defined by Tanimoto coefficient (Tc) between two molecules.

● The left chart: Distribution of similarity level between NPC472671 and all drugs/candidates.
● The right table: Most similar clinical/approved drugs (Tc>=0.5 or Top200).

range	Tanimoto Coefficient
0-0.1	4270
0.1-0.2	4846
0.2-0.3	34
0.3-0.4	0
0.4-0.5	0
0.5-0.6	0
0.6-0.7	0
0.7-0.8	0
0.8-0.85	0
0.85-0.9	0
0.9-0.95	0
0.95-1	0

Similarity Score	Similarity Level	Drug ID	Developmental Stage
		NPD

Bioactivity similarity

Similar Natural Products in NPASS

Similarity level is defined by Bioactivity similarity was calculated based on bioactivity descriptors of compounds. The bioactivity descriptors were calculated by a recently developed AI algorithm Chemical Checker (CC) [Nature Biotechnology, 38:1087–1096, 2020; Nature Communications, 12:3932, 2021], which evaluated bioactivity similarities at five levels:
☉ A: chemistry similarity;
☉ B: biological targets similarity;
☉ C: networks similarity;
☉ D: cell-based bioactivity similarity;
☉ E: similarity based on clinical data.
Those 5 categories of CC bioactivity descriptors were calculated and then subjected to manifold projection using UMAP algorithm, to project all NPs on a 2-Dimensional space. The current NP was highlighted with a small circle in the 2-D map. Below figures: left-to-right, A-to-E.

A: chemistry similarity

B: biological targets similarity

C: networks similarity

D: cell-based bioactivity similarity

E: similarity based on clinical data