NPASS Compound

Structure

NPC47060 OpenBabel06302215362D 35 39 0 0 1 0 0 0 0 0999 V2000 -3.0335 0.2112 0.0000 C 0 0 0 0 0 0 0 0 0 0 0 0 -2.1012 0.0131 0.0000 C 0 0 0 0 0 0 0 0 0 0 0 0 -1.8067 -0.8934 0.0000 O 0 0 0 0 0 0 0 0 0 0 0 0 -0.8257 1.4297 0.0000 O 0 0 0 0 0 0 0 0 0 0 0 0 -0.0003 0.9531 0.0000 C 0 0 2 0 0 0 0 0 0 0 0 0 0.8253 1.4294 0.0000 C 0 0 2 0 0 0 0 0 0 0 0 0 0.8253 2.3830 0.0000 C 0 0 0 0 0 0 0 0 0 0 0 0 1.6511 2.8599 0.0000 C 0 0 0 0 0 0 0 0 0 0 0 0 2.4770 2.3831 0.0000 C 0 0 2 0 0 0 0 0 0 0 0 0 2.4769 1.4295 0.0000 C 0 0 2 0 0 0 0 0 0 0 0 0 3.3023 0.9530 0.0000 C 0 0 1 0 0 0 0 0 0 0 0 0 4.1281 1.4298 0.0000 C 0 0 0 0 0 0 0 0 0 0 0 0 4.9789 0.9386 0.0000 O 0 0 0 0 0 0 0 0 0 0 0 0 4.1281 2.3834 0.0000 C 0 0 2 0 0 0 0 0 0 0 0 0 4.9789 1.8922 0.0000 C 0 0 0 0 0 0 0 0 0 0 0 0 4.9540 2.8602 0.0000 C 0 0 2 0 0 0 0 0 0 0 0 0 4.9534 3.8128 0.0000 C 0 0 0 0 0 0 0 0 0 0 0 0 4.1281 4.2893 0.0000 C 0 0 0 0 0 0 0 0 0 0 0 0 3.3028 2.8599 0.0000 C 0 0 2 0 0 0 0 0 0 0 0 0 2.4521 3.3511 0.0000 O 0 0 0 0 0 0 0 0 0 0 0 0 5.7790 2.3839 0.0000 C 0 0 0 0 0 0 0 0 0 0 0 0 6.6039 2.8602 0.0000 C 0 0 0 0 0 0 0 0 0 0 0 0 7.4289 2.3839 0.0000 C 0 0 0 0 0 0 0 0 0 0 0 0 7.4289 1.4313 0.0000 C 0 0 0 0 0 0 0 0 0 0 0 0 8.2539 0.9550 0.0000 O 0 0 0 0 0 0 0 0 0 0 0 0 6.6039 0.9550 0.0000 O 0 0 0 0 0 0 0 0 0 0 0 0 5.7790 1.4313 0.0000 C 0 0 0 0 0 0 0 0 0 0 0 0 3.3023 -0.0226 0.0000 O 0 0 0 0 0 0 0 0 0 0 0 0 1.6511 0.9526 0.0000 C 0 0 2 0 0 0 0 0 0 0 0 0 2.4960 0.4649 0.0000 C 0 0 0 0 0 0 0 0 0 0 0 0 1.6514 -0.0005 0.0000 C 0 0 0 0 0 0 0 0 0 0 0 0 0.8258 -0.4768 0.0000 C 0 0 2 0 0 0 0 0 0 0 0 0 0.0000 0.0000 0.0000 C 0 0 2 0 0 0 0 0 0 0 0 0 -0.8448 -0.4879 0.0000 O 0 0 0 0 0 0 0 0 0 0 0 0 0.8257 -1.4524 0.0000 O 0 0 0 0 0 0 0 0 0 0 0 0 1 2 1 0 0 0 0 2 3 2 0 0 0 0 2 4 1 0 0 0 0 5 4 1 6 0 0 0 5 6 1 0 0 0 0 5 33 1 0 0 0 0 6 7 1 0 0 0 0 6 29 1 0 0 0 0 7 8 1 0 0 0 0 9 8 1 1 0 0 0 9 10 1 0 0 0 0 9 19 1 0 0 0 0 10 11 1 0 0 0 0 10 29 1 0 0 0 0 11 12 1 0 0 0 0 11 28 1 1 0 0 0 12 13 2 0 0 0 0 12 14 1 0 0 0 0 14 19 1 0 0 0 0 14 15 1 6 0 0 0 14 16 1 0 0 0 0 16 17 1 0 0 0 0 16 21 1 6 0 0 0 17 18 1 0 0 0 0 18 19 1 0 0 0 0 19 20 1 0 0 0 0 21 27 2 0 0 0 0 21 22 1 0 0 0 0 22 23 2 0 0 0 0 23 24 1 0 0 0 0 24 25 2 0 0 0 0 24 26 1 0 0 0 0 26 27 1 0 0 0 0 29 30 1 6 0 0 0 29 31 1 0 0 0 0 31 32 1 0 0 0 0 32 33 1 0 0 0 0 32 35 1 1 0 0 0 33 34 1 0 0 0 0 M END $$$$

Physi-Chem Properties

Molecular Weight:	490.22
Volume:	481.4
LogP:	0.71
LogD:	0.379
LogS:	-2.187
# Rotatable Bonds:	3
TPSA:	154.5
# H-Bond Aceptor:	9
# H-Bond Donor:	4
# Rings:	5
# Heavy Atoms:	9

MedChem Properties

QED Drug-Likeness Score:	0.443
Synthetic Accessibility Score:	5.198
Fsp3:	0.731
Lipinski Rule-of-5:	Accepted
Pfizer Rule:	Accepted
GSK Rule:	Rejected
BMS Rule:	0
Golden Triangle Rule:	Accepted
Chelating Alert:	0
PAINS Alert:	0

ADMET Properties (ADMETlab2.0)

ADMET: Absorption

Caco-2 Permeability:	-5.523
MDCK Permeability:	6.818737892899662e-05
Pgp-inhibitor:	0.014
Pgp-substrate:	0.997
Human Intestinal Absorption (HIA):	0.579
20% Bioavailability (F20%):	0.311
30% Bioavailability (F30%):	0.925

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):	0.135
Plasma Protein Binding (PPB):	67.52523803710938%
Volume Distribution (VD):	0.504
Pgp-substrate:	24.426387786865234%

ADMET: Metabolism

CYP1A2-inhibitor:	0.016
CYP1A2-substrate:	0.474
CYP2C19-inhibitor:	0.01
CYP2C19-substrate:	0.227
CYP2C9-inhibitor:	0.01
CYP2C9-substrate:	0.063
CYP2D6-inhibitor:	0.016
CYP2D6-substrate:	0.104
CYP3A4-inhibitor:	0.256
CYP3A4-substrate:	0.169

ADMET: Excretion

Clearance (CL):	2.448
Half-life (T1/2):	0.689

ADMET: Toxicity

hERG Blockers:	0.114
Human Hepatotoxicity (H-HT):	0.679
Drug-inuced Liver Injury (DILI):	0.659
AMES Toxicity:	0.016
Rat Oral Acute Toxicity:	0.949
Maximum Recommended Daily Dose:	0.868
Skin Sensitization:	0.201
Carcinogencity:	0.291
Eye Corrosion:	0.004
Eye Irritation:	0.01
Respiratory Toxicity:	0.98

Download Data

Data Type	Select
General Info & Identifiers & Properties
Structure MOL file
Source Organisms
Biological Activities
Similar NPs/Drugs

Natural Product: NPC47060

Natural Product ID:	NPC47060
*Common Name:**	PSAAIBNOXSRLIM-ZAFADMRWSA-N
IUPAC Name:	n.a.
Synonyms:
Standard InCHIKey:	PSAAIBNOXSRLIM-ZAFADMRWSA-N
Standard InCHI:	InChI=1S/C26H34O9/c1-12(27)35-22-16-6-5-15-19(24(16,2)10-17(28)20(22)30)21(31)23(32)25(3)14(8-9-26(15,25)33)13-4-7-18(29)34-11-13/h4,7,11,14-17,19-22,28,30-31,33H,5-6,8-10H2,1-3H3/t14-,15-,16+,17-,19-,20+,21+,22-,24+,25+,26+/m1/s1
SMILES:	CC(=O)O[C@@H]1[C@@H]2CC[C@@H]3[C@H]([C@@H](C(=O)[C@]4(C)[C@H](CC[C@]34O)c3ccc(=O)oc3)O)[C@@]2(C)C[C@H]([C@@H]1O)O
Synthetic Gene Cluster:	n.a.
ChEMBL Identifier:	n.a.
PubChem CID:	21579654
Chemical Classification:**	CHEMONTID:0000000 [Organic compounds] [CHEMONTID:0000012] Lipids and lipid-like molecules [CHEMONTID:0000258] Steroids and steroid derivatives [CHEMONTID:0001125] Steroid lactones [CHEMONTID:0001557] Bufanolides and derivatives

*Note: the InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
**Note: the Chemical Classification was calculated by NPClassifier Version 1.5. Reference: PMID:34662515.

Species Source

Organism ID	Organism Name	Taxonomy Level	Family	SuperKingdom	Isolation Part	Collection Location	Collection Time	Reference
NPO6062	Acacia mearnsii	Species	Fabaceae	Eukaryota	n.a.	bark	n.a.	PMID[21192716]
NPO8255	Cinnamomum aromaticum	Species	Lauraceae	Eukaryota	n.a.	bark	n.a.	PMID[21875098]
NPO8255	Cinnamomum aromaticum	Species	Lauraceae	Eukaryota	n.a.	n.a.	n.a.	PMID[24868863]
NPO8255	Cinnamomum aromaticum	Species	Lauraceae	Eukaryota	n.a.	n.a.	n.a.	PMID[25089845]
NPO4121	Sorbus commixta	Species	Rosaceae	Eukaryota	n.a.	n.a.	n.a.	PMID[26878936]
NPO8255	Cinnamomum aromaticum	Species	Lauraceae	Eukaryota	Twigs	n.a.	n.a.	PMID[28682072]
NPO8255	Cinnamomum aromaticum	Species	Lauraceae	Eukaryota	Twigs	n.a.	n.a.	PMID[29883114]
NPO8255	Cinnamomum aromaticum	Species	Lauraceae	Eukaryota	Bark	n.a.	n.a.	Database[FooDB]
NPO8255	Cinnamomum aromaticum	Species	Lauraceae	Eukaryota	Leaf	n.a.	n.a.	Database[FooDB]
NPO8255	Cinnamomum aromaticum	Species	Lauraceae	Eukaryota		n.a.	n.a.	Database[FooDB]
NPO8255	Cinnamomum aromaticum	Species	Lauraceae	Eukaryota	n.a.	n.a.		Database[FooDB]
NPO6062	Acacia mearnsii	Species	Fabaceae	Eukaryota	n.a.	n.a.	n.a.	Database[HerDing]
NPO9089	Dioscorea panthaica	Species	Dioscoreaceae	Eukaryota	n.a.	n.a.	n.a.	Database[HerDing]
NPO2611	Dalbergia variabilis	Species	Fabaceae	Eukaryota	n.a.	n.a.	n.a.	Database[HerDing]
NPO8255	Cinnamomum aromaticum	Species	Lauraceae	Eukaryota	n.a.	n.a.		Database[Phenol-Explorer]
NPO8255	Cinnamomum aromaticum	Species	Lauraceae	Eukaryota	n.a.	n.a.	n.a.	Database[TCMID]
NPO9089	Dioscorea panthaica	Species	Dioscoreaceae	Eukaryota	n.a.	n.a.	n.a.	Database[TCMID]
NPO2611	Dalbergia variabilis	Species	Fabaceae	Eukaryota	n.a.	n.a.	n.a.	Database[TCMID]
NPO6062	Acacia mearnsii	Species	Fabaceae	Eukaryota	n.a.	n.a.	n.a.	Database[TCMID]
NPO2611	Dalbergia variabilis	Species	Fabaceae	Eukaryota	n.a.	n.a.	n.a.	Database[TCM_Taiwan]
NPO8255	Cinnamomum aromaticum	Species	Lauraceae	Eukaryota	n.a.	n.a.	n.a.	Database[TM-MC]
NPO9089	Dioscorea panthaica	Species	Dioscoreaceae	Eukaryota	n.a.	n.a.	n.a.	Database[TM-MC]
NPO9089	Dioscorea panthaica	Species	Dioscoreaceae	Eukaryota	n.a.	n.a.	n.a.	Database[UNPD]
NPO10265	Streptomyces tsusimaensis	Species	Streptomycetaceae	Bacteria	n.a.	n.a.	n.a.	Database[UNPD]
NPO8255	Cinnamomum aromaticum	Species	Lauraceae	Eukaryota	n.a.	n.a.	n.a.	Database[UNPD]
NPO4121	Sorbus commixta	Species	Rosaceae	Eukaryota	n.a.	n.a.	n.a.	Database[UNPD]
NPO6062	Acacia mearnsii	Species	Fabaceae	Eukaryota	n.a.	n.a.	n.a.	Database[UNPD]
NPO2611	Dalbergia variabilis	Species	Fabaceae	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	NP ID	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

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

☑ Note for Activity Records:
☉ The quantitative biological activities were primarily integrated from ChEMBL (Version-30) database and were also directly collected from PubMed literature. PubMed PMID was provided as the reference link for each activity record.

Chemically structural similarity: I. Similar Active Natural Products in NPASS

Top-200 similar NPs were calculated against the active-NP-set (includes 4,3285 NPs with experimentally-derived bioactivity available in NPASS)

Similarity level is defined by Tanimoto coefficient (Tc) between two molecules. Tc lies between [0, 1] where '1' indicates the highest similarity. What is Tanimoto coefficient

● The left chart: Distribution of similarity level between NPC47060 and all remaining natural products in the NPASS database.
● The right table: Most similar natural products (Tc>=0.56 or Top200).

range	Tanimoto Coefficient
0-0.1	397
0.1-0.2	1470
0.2-0.3	2964
0.3-0.4	5500
0.4-0.5	10248
0.5-0.6	9146
0.6-0.7	8211
0.7-0.8	4222
0.8-0.85	377
0.85-0.9	128
0.9-0.95	30
0.95-1	4

Similarity Score	Similarity Level	Natural Product ID

Chemically structural similarity: II. Similar Clinical/Approved Drugs

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

● The left chart: Distribution of similarity level between NPC47060 and all drugs/candidates.
● The right table: Most similar clinical/approved drugs (Tc>=0.56 or Top200).

range	Tanimoto Coefficient
0-0.1	333
0.1-0.2	871
0.2-0.3	1821
0.3-0.4	2685
0.4-0.5	2056
0.5-0.6	998
0.6-0.7	319
0.7-0.8	59
0.8-0.85	7
0.85-0.9	1
0.9-0.95	0
0.95-1	0

Similarity Score	Similarity Level	Drug ID	Developmental Stage

Bioactivity similarity: Similar Natural Products in NPASS

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