NPASS Compound

Structure

NPC71818 OpenBabel06302215342D 38 43 0 0 1 0 0 0 0 0999 V2000 5.1962 -2.0000 0.0000 C 0 0 0 0 0 0 0 0 0 0 0 0 4.3301 -1.5000 0.0000 C 0 0 0 0 0 0 0 0 0 0 0 0 4.3301 -0.5000 0.0000 C 0 0 0 0 0 0 0 0 0 0 0 0 3.4641 0.0000 0.0000 C 0 0 1 0 0 0 0 0 0 0 0 0 3.4641 1.0000 0.0000 C 0 0 0 0 0 0 0 0 0 0 0 0 2.5981 1.5000 0.0000 C 0 0 0 0 0 0 0 0 0 0 0 0 2.5981 2.5000 0.0000 C 0 0 0 0 0 0 0 0 0 0 0 0 3.4641 3.0000 0.0000 C 0 0 0 0 0 0 0 0 0 0 0 0 4.3301 2.5000 0.0000 C 0 0 0 0 0 0 0 0 0 0 0 0 4.3301 1.5000 0.0000 C 0 0 0 0 0 0 0 0 0 0 0 0 5.1962 1.0000 0.0000 C 0 0 0 0 0 0 0 0 0 0 0 0 6.0622 1.5000 0.0000 O 0 0 0 0 0 0 0 0 0 0 0 0 5.1962 0.0000 0.0000 C 0 0 0 0 0 0 0 0 0 0 0 0 6.0622 -0.5000 0.0000 C 0 0 0 0 0 0 0 0 0 0 0 0 6.0622 -1.5000 0.0000 C 0 0 0 0 0 0 0 0 0 0 0 0 6.9282 0.0000 0.0000 O 0 0 0 0 0 0 0 0 0 0 0 0 5.1962 3.0000 0.0000 O 0 0 0 0 0 0 0 0 0 0 0 0 1.7321 3.0000 0.0000 C 0 0 0 0 0 0 0 0 0 0 0 0 1.7321 4.0000 0.0000 O 0 0 0 0 0 0 0 0 0 0 0 0 2.5981 -0.5000 0.0000 C 0 0 1 0 0 0 0 0 0 0 0 0 2.5981 -1.5000 0.0000 C 0 0 0 0 0 0 0 0 0 0 0 0 3.4641 -2.0000 0.0000 C 0 0 0 0 0 0 0 0 0 0 0 0 3.4641 -3.0000 0.0000 C 0 0 0 0 0 0 0 0 0 0 0 0 2.5981 -3.5000 0.0000 C 0 0 0 0 0 0 0 0 0 0 0 0 1.7321 -3.0000 0.0000 C 0 0 0 0 0 0 0 0 0 0 0 0 1.7321 -2.0000 0.0000 C 0 0 0 0 0 0 0 0 0 0 0 0 0.8660 -1.5000 0.0000 C 0 0 0 0 0 0 0 0 0 0 0 0 0.0000 -2.0000 0.0000 O 0 0 0 0 0 0 0 0 0 0 0 0 0.8660 -0.5000 0.0000 C 0 0 0 0 0 0 0 0 0 0 0 0 1.7321 0.0000 0.0000 C 0 0 0 0 0 0 0 0 0 0 0 0 1.7321 1.0000 0.0000 C 0 0 0 0 0 0 0 0 0 0 0 0 0.8660 1.5000 0.0000 C 0 0 0 0 0 0 0 0 0 0 0 0 -0.0000 1.0000 0.0000 C 0 0 0 0 0 0 0 0 0 0 0 0 0.0000 0.0000 0.0000 C 0 0 0 0 0 0 0 0 0 0 0 0 -0.8660 -0.5000 0.0000 O 0 0 0 0 0 0 0 0 0 0 0 0 0.8660 2.5000 0.0000 C 0 0 0 0 0 0 0 0 0 0 0 0 -0.0000 3.0000 0.0000 O 0 0 0 0 0 0 0 0 0 0 0 0 0.8660 -3.5000 0.0000 O 0 0 0 0 0 0 0 0 0 0 0 0 1 15 2 0 0 0 0 1 2 1 0 0 0 0 2 3 2 0 0 0 0 3 13 1 0 0 0 0 4 3 1 6 0 0 0 4 5 1 0 0 0 0 4 20 1 0 0 0 0 5 10 2 0 0 0 0 5 6 1 0 0 0 0 6 7 2 0 0 0 0 7 8 1 0 0 0 0 7 18 1 0 0 0 0 8 9 2 0 0 0 0 9 10 1 0 0 0 0 9 17 1 0 0 0 0 10 11 1 0 0 0 0 11 12 2 0 0 0 0 11 13 1 0 0 0 0 13 14 2 0 0 0 0 14 15 1 0 0 0 0 14 16 1 0 0 0 0 18 19 1 0 0 0 0 20 21 1 1 0 0 0 20 30 1 0 0 0 0 21 26 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 25 26 1 0 0 0 0 25 38 1 0 0 0 0 26 27 1 0 0 0 0 27 28 2 0 0 0 0 27 29 1 0 0 0 0 29 34 2 0 0 0 0 29 30 1 0 0 0 0 30 31 2 0 0 0 0 31 32 1 0 0 0 0 32 33 2 0 0 0 0 32 36 1 0 0 0 0 33 34 1 0 0 0 0 34 35 1 0 0 0 0 36 37 1 0 0 0 0 M END $$$$

Physi-Chem Properties

Molecular Weight:	510.13
Volume:	509.509
LogP:	6.053
LogD:	2.731
LogS:	-4.747
# Rotatable Bonds:	3
TPSA:	161.84
# H-Bond Aceptor:	8
# H-Bond Donor:	8
# Rings:	6
# Heavy Atoms:	8

MedChem Properties

QED Drug-Likeness Score:	0.151
Synthetic Accessibility Score:	2.947
Fsp3:	0.067
Lipinski Rule-of-5:	Rejected
Pfizer Rule:	Accepted
GSK Rule:	Rejected
BMS Rule:	1
Golden Triangle Rule:	Rejected
Chelating Alert:	0
PAINS Alert:	0

ADMET Properties (ADMETlab2.0)

ADMET: Absorption

Caco-2 Permeability:	-6.097
MDCK Permeability:	5.900182259210851e-06
Pgp-inhibitor:	0.026
Pgp-substrate:	0.0
Human Intestinal Absorption (HIA):	1.0
20% Bioavailability (F20%):	0.842
30% Bioavailability (F30%):	1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):	0.001
Plasma Protein Binding (PPB):	94.26590728759766%
Volume Distribution (VD):	0.465
Pgp-substrate:	10.992453575134277%

ADMET: Metabolism

CYP1A2-inhibitor:	0.886
CYP1A2-substrate:	0.101
CYP2C19-inhibitor:	0.062
CYP2C19-substrate:	0.044
CYP2C9-inhibitor:	0.577
CYP2C9-substrate:	0.459
CYP2D6-inhibitor:	0.029
CYP2D6-substrate:	0.232
CYP3A4-inhibitor:	0.04
CYP3A4-substrate:	0.03

ADMET: Excretion

Clearance (CL):	3.938
Half-life (T1/2):	0.426

ADMET: Toxicity

hERG Blockers:	0.005
Human Hepatotoxicity (H-HT):	0.027
Drug-inuced Liver Injury (DILI):	0.98
AMES Toxicity:	0.493
Rat Oral Acute Toxicity:	0.016
Maximum Recommended Daily Dose:	0.606
Skin Sensitization:	0.958
Carcinogencity:	0.065
Eye Corrosion:	0.003
Eye Irritation:	0.917
Respiratory Toxicity:	0.049

Download Data

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

Natural Product: NPC71818

Natural Product ID:	NPC71818
*Common Name:**	UKTUEGXCIOJVKY-ZEQRLZLVSA-N
IUPAC Name:	n.a.
Synonyms:
Standard InCHIKey:	UKTUEGXCIOJVKY-ZEQRLZLVSA-N
Standard InCHI:	InChI=1S/C30H22O8/c31-11-13-7-17-23(15-3-1-5-19(33)25(15)29(37)27(17)21(35)9-13)24-16-4-2-6-20(34)26(16)30(38)28-18(24)8-14(12-32)10-22(28)36/h1-10,23-24,31-36H,11-12H2/t23-,24-/m0/s1
SMILES:	c1cc2[C@@H](c3cc(cc(c3C(=O)c2c(c1)O)O)CO)[C@H]1c2cccc(c2C(=O)c2c1cc(cc2O)CO)O
Synthetic Gene Cluster:	n.a.
ChEMBL Identifier:	n.a.
PubChem CID:	11706168
Chemical Classification:**	CHEMONTID:0000000 [Organic compounds] [CHEMONTID:0002448] Benzenoids [CHEMONTID:0000018] Anthracenes

*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
NPO28260	Senna alexandrina	Species	Fabaceae	Eukaryota	n.a.	seed	n.a.	PMID[17345316]
NPO28260	Senna alexandrina	Species	Fabaceae	Eukaryota	n.a.	n.a.	n.a.	Database[TCMID]
NPO5990	Frangula alnus	Species	Rhamnaceae	Eukaryota	n.a.	n.a.	n.a.	Database[TCMID]
NPO28260	Senna alexandrina	Species	Fabaceae	Eukaryota	n.a.	n.a.	n.a.	Database[TM-MC]
NPO28260	Senna alexandrina	Species	Fabaceae	Eukaryota	n.a.	n.a.	n.a.	Database[UNPD]
NPO5990	Frangula alnus	Species	Rhamnaceae	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 NPC71818 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	356
0.1-0.2	1513
0.2-0.3	3113
0.3-0.4	9300
0.4-0.5	10501
0.5-0.6	5450
0.6-0.7	9068
0.7-0.8	3106
0.8-0.85	214
0.85-0.9	66
0.9-0.95	7
0.95-1	3

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 NPC71818 and all drugs/candidates.
● The right table: Most similar clinical/approved drugs (Tc>=0.56 or Top200).

range	Tanimoto Coefficient
0-0.1	331
0.1-0.2	931
0.2-0.3	1335
0.3-0.4	2733
0.4-0.5	2210
0.5-0.6	1164
0.6-0.7	386
0.7-0.8	53
0.8-0.85	2
0.85-0.9	5
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