NPASS Compound

Structure

NPC141836 OpenBabel06302216112D 32 32 0 0 0 0 0 0 0 0999 V2000 9.5263 14.5000 0.0000 C 0 0 0 0 0 0 0 0 0 0 0 0 8.6603 15.0000 0.0000 C 0 0 0 0 0 0 0 0 0 0 0 0 7.7942 14.5000 0.0000 C 0 0 0 0 0 0 0 0 0 0 0 0 7.7942 13.5000 0.0000 C 0 0 0 0 0 0 0 0 0 0 0 0 6.9282 13.0000 0.0000 C 0 0 0 0 0 0 0 0 0 0 0 0 6.9282 12.0000 0.0000 C 0 0 0 0 0 0 0 0 0 0 0 0 6.0622 11.5000 0.0000 C 0 0 0 0 0 0 0 0 0 0 0 0 6.0622 10.5000 0.0000 C 0 0 0 0 0 0 0 0 0 0 0 0 5.1962 10.0000 0.0000 C 0 0 0 0 0 0 0 0 0 0 0 0 5.1962 9.0000 0.0000 C 0 0 0 0 0 0 0 0 0 0 0 0 4.3301 8.5000 0.0000 C 0 0 0 0 0 0 0 0 0 0 0 0 4.3301 7.5000 0.0000 C 0 0 0 0 0 0 0 0 0 0 0 0 3.4641 7.0000 0.0000 C 0 0 0 0 0 0 0 0 0 0 0 0 3.4641 6.0000 0.0000 C 0 0 0 0 0 0 0 0 0 0 0 0 2.5981 5.5000 0.0000 C 0 0 0 0 0 0 0 0 0 0 0 0 2.5981 4.5000 0.0000 C 0 0 0 0 0 0 0 0 0 0 0 0 1.7321 4.0000 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 0.8660 2.5000 0.0000 O 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 O 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 1.7321 -0.0000 0.0000 C 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 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 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 -0.8660 -0.5000 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 -1.7321 0.0000 0.0000 O 0 0 0 0 0 0 0 0 0 0 0 0 -2.5981 -0.5000 0.0000 C 0 0 0 0 0 0 0 0 0 0 0 0 -1.7321 -2.0000 0.0000 O 0 0 0 0 0 0 0 0 0 0 0 0 1 2 1 0 0 0 0 2 3 1 0 0 0 0 3 4 1 0 0 0 0 4 5 1 0 0 0 0 5 6 1 0 0 0 0 6 7 1 0 0 0 0 7 8 1 0 0 0 0 8 9 1 0 0 0 0 9 10 1 0 0 0 0 10 11 1 0 0 0 0 11 12 1 0 0 0 0 12 13 1 0 0 0 0 13 14 1 0 0 0 0 14 15 1 0 0 0 0 15 16 1 0 0 0 0 16 17 1 0 0 0 0 17 18 1 0 0 0 0 18 19 1 0 0 0 0 19 20 1 0 0 0 0 20 21 2 0 0 0 0 20 22 1 0 0 0 0 22 23 2 3 0 0 0 23 24 1 0 0 0 0 24 29 2 0 0 0 0 24 25 1 0 0 0 0 25 26 2 0 0 0 0 26 27 1 0 0 0 0 27 28 2 0 0 0 0 27 32 1 0 0 0 0 28 29 1 0 0 0 0 28 30 1 0 0 0 0 30 31 1 0 0 0 0 M END $$$$

Physi-Chem Properties

Molecular Weight:	446.34
Volume:	506.266
LogP:	9.386
LogD:	4.451
LogS:	-6.826
# Rotatable Bonds:	21
TPSA:	55.76
# H-Bond Aceptor:	4
# H-Bond Donor:	1
# Rings:	1
# Heavy Atoms:	4

MedChem Properties

QED Drug-Likeness Score:	0.124
Synthetic Accessibility Score:	2.245
Fsp3:	0.679
Lipinski Rule-of-5:	Accepted
Pfizer Rule:	Rejected
GSK Rule:	Rejected
BMS Rule:	1
Golden Triangle Rule:	Accepted
Chelating Alert:	1
PAINS Alert:	0

ADMET Properties (ADMETlab2.0)

ADMET: Absorption

Caco-2 Permeability:	-5.124
MDCK Permeability:	1.5689241990912706e-05
Pgp-inhibitor:	0.858
Pgp-substrate:	0.367
Human Intestinal Absorption (HIA):	0.003
20% Bioavailability (F20%):	1.0
30% Bioavailability (F30%):	0.999

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):	0.021
Plasma Protein Binding (PPB):	99.78752136230469%
Volume Distribution (VD):	5.588
Pgp-substrate:	0.9473626613616943%

ADMET: Metabolism

CYP1A2-inhibitor:	0.147
CYP1A2-substrate:	0.186
CYP2C19-inhibitor:	0.373
CYP2C19-substrate:	0.065
CYP2C9-inhibitor:	0.098
CYP2C9-substrate:	0.982
CYP2D6-inhibitor:	0.54
CYP2D6-substrate:	0.504
CYP3A4-inhibitor:	0.305
CYP3A4-substrate:	0.077

ADMET: Excretion

Clearance (CL):	5.623
Half-life (T1/2):	0.218

ADMET: Toxicity

hERG Blockers:	0.924
Human Hepatotoxicity (H-HT):	0.02
Drug-inuced Liver Injury (DILI):	0.198
AMES Toxicity:	0.013
Rat Oral Acute Toxicity:	0.028
Maximum Recommended Daily Dose:	0.085
Skin Sensitization:	0.981
Carcinogencity:	0.051
Eye Corrosion:	0.124
Eye Irritation:	0.894
Respiratory Toxicity:	0.825

Download Data

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

Natural Product: NPC141836

Natural Product ID:	NPC141836
*Common Name:**	SESLBPIXVOYQJJ-UHFFFAOYSA-N
IUPAC Name:	n.a.
Synonyms:
Standard InCHIKey:	SESLBPIXVOYQJJ-UHFFFAOYSA-N
Standard InCHI:	InChI=1S/C28H46O4/c1-3-4-5-6-7-8-9-10-11-12-13-14-15-16-17-18-23-32-28(30)22-20-25-19-21-26(29)27(24-25)31-2/h19-22,24,29H,3-18,23H2,1-2H3
SMILES:	CCCCCCCCCCCCCCCCCCOC(=O)C=Cc1ccc(c(c1)OC)O
Synthetic Gene Cluster:	n.a.
ChEMBL Identifier:	n.a.
PubChem CID:	149044
Chemical Classification:**	CHEMONTID:0000000 [Organic compounds] [CHEMONTID:0000261] Phenylpropanoids and polyketides [CHEMONTID:0000476] Cinnamic acids and derivatives [CHEMONTID:0001391] Hydroxycinnamic acids and derivatives [CHEMONTID:0000059] Coumaric acids 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
NPO3762	Amentotaxus argotaenia	Species	Taxaceae	Eukaryota	Leaves; Twigs	n.a.	n.a.	PMID[32633512]
NPO1191	Castanea mollissima	Species	Fagaceae	Eukaryota	n.a.	n.a.	n.a.	Database[HerDing]
NPO7334	Embelia barbeyana	Species	Primulaceae	Eukaryota	n.a.	n.a.	n.a.	Database[HerDing]
NPO4144	Scutia buxifolia	Species	Rhamnaceae	Eukaryota	n.a.	n.a.	n.a.	Database[HerDing]
NPO4144	Scutia buxifolia	Species	Rhamnaceae	Eukaryota	n.a.	n.a.	n.a.	Database[TCMID]
NPO1191	Castanea mollissima	Species	Fagaceae	Eukaryota	n.a.	n.a.	n.a.	Database[TCMID]
NPO3102	Arachniodes exilis	Species	Dryopteridaceae	Eukaryota	n.a.	n.a.	n.a.	Database[TCMID]
NPO7334	Embelia barbeyana	Species	Primulaceae	Eukaryota	n.a.	n.a.	n.a.	Database[TCMID]
NPO9522	Pericopsis angolensis	Species	Fabaceae	Eukaryota	n.a.	n.a.	n.a.	Database[TCMID]
NPO12322	Amomum krervanh	Species	Zingiberaceae	Eukaryota	n.a.	n.a.	n.a.	Database[TCMID]
NPO1191	Castanea mollissima	Species	Fagaceae	Eukaryota	n.a.	n.a.	n.a.	Database[TCM_Taiwan]
NPO12322	Amomum krervanh	Species	Zingiberaceae	Eukaryota	n.a.	n.a.	n.a.	Database[TM-MC]
NPO7334	Embelia barbeyana	Species	Primulaceae	Eukaryota	n.a.	n.a.	n.a.	Database[UNPD]
NPO10775	Verbascum fruticulosum	Species	Scrophulariaceae	Eukaryota	n.a.	n.a.	n.a.	Database[UNPD]
NPO9785	Dictyota binghamiae	Species	Dictyotaceae	Eukaryota	n.a.	n.a.	n.a.	Database[UNPD]
NPO7867	Cytisus caramanicus	Species	Fabaceae	Eukaryota	n.a.	n.a.	n.a.	Database[UNPD]
NPO5205	Gymnoascus reesii	Species	Gymnoascaceae	Eukaryota	n.a.	n.a.	n.a.	Database[UNPD]
NPO9311	Parkia clappertoniana	Species	Fabaceae	Eukaryota	n.a.	n.a.	n.a.	Database[UNPD]
NPO4144	Scutia buxifolia	Species	Rhamnaceae	Eukaryota	n.a.	n.a.	n.a.	Database[UNPD]
NPO10588	Diploschistes violarius	Species	Graphidaceae	Eukaryota	n.a.	n.a.	n.a.	Database[UNPD]
NPO9051	Delesseria sanguinea	Species	Delesseriaceae	Eukaryota	n.a.	n.a.	n.a.	Database[UNPD]
NPO10177	Eria linearifolia	Species	Orchidaceae	Eukaryota	n.a.	n.a.	n.a.	Database[UNPD]
NPO9522	Pericopsis angolensis	Species	Fabaceae	Eukaryota	n.a.	n.a.	n.a.	Database[UNPD]
NPO3102	Arachniodes exilis	Species	Dryopteridaceae	Eukaryota	n.a.	n.a.	n.a.	Database[UNPD]
NPO28130	Neonotonia wightii	Species	Fabaceae	Eukaryota	n.a.	n.a.	n.a.	Database[UNPD]
NPO822	Cressa cretica	Species	Convolvulaceae	Eukaryota	n.a.	n.a.	n.a.	Database[UNPD]
NPO3007	Heliotropium bovei	Species	Heliotropiaceae	Eukaryota	n.a.	n.a.	n.a.	Database[UNPD]
NPO3762	Amentotaxus argotaenia	Species	Taxaceae	Eukaryota	n.a.	n.a.	n.a.	Database[UNPD]
NPO11832	Pinus banksiana	Species	Pinaceae	Eukaryota	n.a.	n.a.	n.a.	Database[UNPD]
NPO1191	Castanea mollissima	Species	Fagaceae	Eukaryota	n.a.	n.a.	n.a.	Database[UNPD]
NPO12322	Amomum krervanh	Species	Zingiberaceae	Eukaryota	n.a.	n.a.	n.a.	Database[UNPD]
NPO12895	Polypodiodes niponica	Species	Polypodiaceae	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 NPC141836 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	241
0.1-0.2	1344
0.2-0.3	4245
0.3-0.4	10449
0.4-0.5	7839
0.5-0.6	4549
0.6-0.7	9980
0.7-0.8	3396
0.8-0.85	461
0.85-0.9	149
0.9-0.95	32
0.95-1	12

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 NPC141836 and all drugs/candidates.
● The right table: Most similar clinical/approved drugs (Tc>=0.56 or Top200).

range	Tanimoto Coefficient
0-0.1	224
0.1-0.2	862
0.2-0.3	1759
0.3-0.4	2641
0.4-0.5	1776
0.5-0.6	1058
0.6-0.7	713
0.7-0.8	109
0.8-0.85	6
0.85-0.9	2
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