NPASS Compound

Structure

NPC488838 OpenBabel06302215242D 36 40 0 0 1 0 0 0 0 0999 V2000 -4.0556 -1.8854 0.0000 C 0 0 0 0 0 0 0 0 0 0 0 0 -3.8565 -1.0130 0.0000 C 0 0 0 0 0 0 0 0 0 0 0 0 -4.5775 -0.4380 0.0000 C 0 0 2 0 0 0 0 0 0 0 0 0 -5.3763 -0.8992 0.0000 C 0 0 0 0 0 0 0 0 0 0 0 0 -6.1750 -0.4380 0.0000 C 0 0 0 0 0 0 0 0 0 0 0 0 -6.1750 0.4842 0.0000 C 0 0 2 0 0 0 0 0 0 0 0 0 -5.3763 0.9453 0.0000 C 0 0 0 0 0 0 0 0 0 0 0 0 -4.5775 0.4842 0.0000 C 0 0 1 0 0 0 0 0 0 0 0 0 -5.0387 1.2829 0.0000 C 0 0 0 0 0 0 0 0 0 0 0 0 -5.7139 1.2829 0.0000 C 0 0 2 0 0 0 0 0 0 0 0 0 -6.1649 2.0641 0.0000 C 0 0 0 0 0 0 0 0 0 0 0 0 -6.6159 1.2829 0.0000 O 0 0 0 0 0 0 0 0 0 0 0 0 -3.8565 1.0592 0.0000 C 0 0 1 0 0 0 0 0 0 0 0 0 -2.9574 0.8540 0.0000 C 0 0 2 0 0 0 0 0 0 0 0 0 -2.5572 0.0231 0.0000 C 0 0 1 0 0 0 0 0 0 0 0 0 -2.9574 -0.8078 0.0000 C 0 0 1 0 0 0 0 0 0 0 0 0 -2.2908 -1.4452 0.0000 C 0 0 0 0 0 0 0 0 0 0 0 0 -1.4787 -1.0081 0.0000 C 0 0 1 0 0 0 0 0 0 0 0 0 -1.6433 -0.1007 0.0000 C 0 0 0 0 0 0 0 0 0 0 0 0 -1.4312 0.7686 0.0000 C 0 0 0 0 0 0 0 0 0 0 0 0 -0.7844 0.1502 0.0000 C 0 0 0 0 0 0 0 0 0 0 0 0 -0.6725 -1.3964 0.0000 O 0 0 0 0 0 0 0 0 0 0 0 0 0.0669 -0.8923 0.0000 C 0 0 1 0 0 0 0 0 0 0 0 0 0.8731 -1.2806 0.0000 C 0 0 1 0 0 0 0 0 0 0 0 0 1.6124 -0.7765 0.0000 C 0 0 2 0 0 0 0 0 0 0 0 0 1.5455 0.1158 0.0000 C 0 0 1 0 0 0 0 0 0 0 0 0 0.7393 0.5041 0.0000 C 0 0 1 0 0 0 0 0 0 0 0 0 0.6725 1.3964 0.0000 C 0 0 0 0 0 0 0 0 0 0 0 0 1.4118 1.9004 0.0000 O 0 0 0 0 0 0 0 0 0 0 0 0 -0.0000 -0.0000 0.0000 O 0 0 0 0 0 0 0 0 0 0 0 0 2.2849 0.6199 0.0000 O 0 0 0 0 0 0 0 0 0 0 0 0 2.4186 -1.1647 0.0000 O 0 0 0 0 0 0 0 0 0 0 0 0 0.9399 -2.1729 0.0000 O 0 0 0 0 0 0 0 0 0 0 0 0 -3.1622 0.6824 0.0000 O 0 0 0 0 0 0 0 0 0 0 0 0 -2.3995 1.5536 0.0000 O 0 0 0 0 0 0 0 0 0 0 0 0 -4.0556 1.9316 0.0000 O 0 0 0 0 0 0 0 0 0 0 0 0 1 2 2 0 0 0 0 2 16 1 0 0 0 0 2 3 1 0 0 0 0 3 4 1 6 0 0 0 3 8 1 0 0 0 0 4 5 1 0 0 0 0 6 5 1 1 0 0 0 6 7 1 0 0 0 0 6 10 1 0 0 0 0 8 7 1 6 0 0 0 8 9 1 0 0 0 0 8 13 1 0 0 0 0 9 10 1 0 0 0 0 10 11 1 1 0 0 0 10 12 1 0 0 0 0 13 14 1 0 0 0 0 13 36 1 6 0 0 0 14 15 1 0 0 0 0 14 35 1 1 0 0 0 15 19 1 0 0 0 0 15 16 1 0 0 0 0 15 34 1 1 0 0 0 16 17 1 1 0 0 0 17 18 1 0 0 0 0 18 19 1 0 0 0 0 18 22 1 1 0 0 0 19 20 1 0 0 0 0 19 21 1 0 0 0 0 23 22 1 6 0 0 0 23 24 1 0 0 0 0 23 30 1 0 0 0 0 24 25 1 0 0 0 0 24 33 1 1 0 0 0 25 26 1 0 0 0 0 25 32 1 6 0 0 0 26 27 1 0 0 0 0 26 31 1 1 0 0 0 27 28 1 6 0 0 0 27 30 1 0 0 0 0 28 29 1 0 0 0 0 M END $$$$

Physi-Chem Properties

Molecular Weight:	514.28
Volume:	500.736
LogP:	0.874
LogD:	0.291
LogS:	-2.913
# Rotatable Bonds:	3
TPSA:	180.3
# H-Bond Aceptor:	10
# H-Bond Donor:	8
# Rings:	5
# Heavy Atoms:	10

MedChem Properties

QED Drug-Likeness Score:	0.213
Synthetic Accessibility Score:	6.686
Fsp3:	0.923
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:	-5.945
MDCK Permeability:	6.0101177950855345e-05
Pgp-inhibitor:	0.019
Pgp-substrate:	0.971
Human Intestinal Absorption (HIA):	0.943
20% Bioavailability (F20%):	0.832
30% Bioavailability (F30%):	0.73

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):	0.106
Plasma Protein Binding (PPB):	36.00796127319336%
Volume Distribution (VD):	0.408
Pgp-substrate:	52.95353698730469%

ADMET: Metabolism

CYP1A2-inhibitor:	0.008
CYP1A2-substrate:	0.065
CYP2C19-inhibitor:	0.003
CYP2C19-substrate:	0.323
CYP2C9-inhibitor:	0.001
CYP2C9-substrate:	0.024
CYP2D6-inhibitor:	0.002
CYP2D6-substrate:	0.076
CYP3A4-inhibitor:	0.03
CYP3A4-substrate:	0.038

ADMET: Excretion

Clearance (CL):	1.108
Half-life (T1/2):	0.687

ADMET: Toxicity

hERG Blockers:	0.196
Human Hepatotoxicity (H-HT):	0.221
Drug-inuced Liver Injury (DILI):	0.274
AMES Toxicity:	0.208
Rat Oral Acute Toxicity:	0.609
Maximum Recommended Daily Dose:	0.982
Skin Sensitization:	0.427
Carcinogencity:	0.377
Eye Corrosion:	0.003
Eye Irritation:	0.015
Respiratory Toxicity:	0.981

Download Data

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

Natural Product: NPC488838

Natural Product ID:	NPC488838
*Common Name:**	NMARKPQZUYLEIF-MHASSHBESA-N
IUPAC Name:	n.a.
Synonyms:
Standard InCHIKey:	NMARKPQZUYLEIF-MHASSHBESA-N
Standard InCHI:	InChI=1S/C26H42O10/c1-11-13-6-5-12-8-25(13,10-24(12,4)33)20(31)21(32)26(34)14(11)7-16(23(26,2)3)36-22-19(30)18(29)17(28)15(9-27)35-22/h12-22,27-34H,1,5-10H2,2-4H3/t12-,13+,14+,15-,16+,17-,18+,19-,20-,21-,22+,24-,25-,26+/m1/s1
SMILES:	C=C1[C@@H]2CC[C@@H]3C[C@]2(C[C@@]3(C)O)[C@@H]([C@H]([C@]2([C@H]1C[C@@H](C2(C)C)O[C@H]1[C@@H]([C@H]([C@@H]([C@@H](CO)O1)O)O)O)O)O)O
Synthetic Gene Cluster:	n.a.
ChEMBL Identifier:	n.a.
PubChem CID:	n.a.
Chemical Classification:**	CHEMONTID:0000000 [Organic compounds]

*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
NPO26763	Rhododendron micranthum	Species	Ericaceae	Eukaryota	Leaves	n.a.	n.a.	PMID[30452260]
NPO26763	Rhododendron micranthum	Species	Ericaceae	Eukaryota	n.a.	n.a.	n.a.	Database[HerDing]
NPO26763	Rhododendron micranthum	Species	Ericaceae	Eukaryota	n.a.	n.a.	n.a.	Database[TCMID]
NPO26763	Rhododendron micranthum	Species	Ericaceae	Eukaryota	n.a.	n.a.	n.a.	Database[TCM_Taiwan]
NPO26763	Rhododendron micranthum	Species	Ericaceae	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

Activity Type	# Activity
Others	1

Activity Type	# Activity
Organism	1

Target ID	Target Type	Target Name	Target Organism	Activity Type	Activity Relation	Value	Unit	Reference
NPT32	Organism	Mus musculus	Mus musculus	Inhibition	=	50.0	%	PMID[30452260]

☑ 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 NPC488838 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	252
0.1-0.2	2450
0.2-0.3	9725
0.3-0.4	13207
0.4-0.5	6893
0.5-0.6	6116
0.6-0.7	3166
0.7-0.8	832
0.8-0.85	45
0.85-0.9	4
0.9-0.95	2
0.95-1	5

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 NPC488838 and all drugs/candidates.
● The right table: Most similar clinical/approved drugs (Tc>=0.56 or Top200).

range	Tanimoto Coefficient
0-0.1	232
0.1-0.2	2862
0.2-0.3	4219
0.3-0.4	1143
0.4-0.5	328
0.5-0.6	281
0.6-0.7	82
0.7-0.8	3
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

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