NPASS Compound

Structure

NPC286697 OpenBabel06302215592D 23 22 0 0 1 0 0 0 0 0999 V2000 1.7321 3.0000 0.0000 C 0 0 0 0 0 0 0 0 0 0 0 0 0.8660 3.5000 0.0000 C 0 0 0 0 0 0 0 0 0 0 0 0 0.0000 3.0000 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 2 0 0 0 0 0 0 0 0 0 -1.7321 -0.0000 0.0000 C 0 0 1 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 -3.4641 -0.0000 0.0000 C 0 0 0 0 0 0 0 0 0 0 0 0 -4.3301 0.5000 0.0000 C 0 0 1 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 -6.9282 -0.0000 0.0000 C 0 0 0 0 0 0 0 0 0 0 0 0 -7.7942 0.5000 0.0000 C 0 0 0 0 0 0 0 0 0 0 0 0 -8.6603 -0.0000 0.0000 C 0 0 0 0 0 0 0 0 0 0 0 0 -9.5263 0.5000 0.0000 C 0 0 0 0 0 0 0 0 0 0 0 0 -10.3923 -0.0000 0.0000 C 0 0 0 0 0 0 0 0 0 0 0 0 -11.2583 0.5000 0.0000 C 0 0 0 0 0 0 0 0 0 0 0 0 -12.1244 -0.0000 0.0000 O 0 0 0 0 0 0 0 0 0 0 0 0 -11.2583 1.5000 0.0000 O 0 0 0 0 0 0 0 0 0 0 0 0 -4.3301 1.5000 0.0000 O 0 0 0 0 0 0 0 0 0 0 0 0 -1.7321 -1.0000 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 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 6 23 1 1 0 0 0 7 8 1 0 0 0 0 7 22 1 6 0 0 0 8 9 2 0 0 0 0 9 10 1 0 0 0 0 10 11 1 0 0 0 0 10 21 1 1 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 2 0 0 0 0 18 20 1 0 0 0 0 M END $$$$

Physi-Chem Properties

Molecular Weight:	330.24
Volume:	358.562
LogP:	2.968
LogD:	1.296
LogS:	-3.514
# Rotatable Bonds:	15
TPSA:	97.99
# H-Bond Aceptor:	5
# H-Bond Donor:	4
# Rings:	0
# Heavy Atoms:	5

MedChem Properties

QED Drug-Likeness Score:	0.273
Synthetic Accessibility Score:	3.415
Fsp3:	0.833
Lipinski Rule-of-5:	Accepted
Pfizer Rule:	Accepted
GSK Rule:	Accepted
BMS Rule:	1
Golden Triangle Rule:	Accepted
Chelating Alert:	0
PAINS Alert:	0

ADMET Properties (ADMETlab2.0)

ADMET: Absorption

Caco-2 Permeability:	-5.529
MDCK Permeability:	5.386658449424431e-05
Pgp-inhibitor:	0.028
Pgp-substrate:	0.671
Human Intestinal Absorption (HIA):	0.883
20% Bioavailability (F20%):	0.998
30% Bioavailability (F30%):	0.999

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):	0.194
Plasma Protein Binding (PPB):	91.9446792602539%
Volume Distribution (VD):	0.56
Pgp-substrate:	2.2800893783569336%

ADMET: Metabolism

CYP1A2-inhibitor:	0.069
CYP1A2-substrate:	0.188
CYP2C19-inhibitor:	0.017
CYP2C19-substrate:	0.158
CYP2C9-inhibitor:	0.033
CYP2C9-substrate:	0.991
CYP2D6-inhibitor:	0.004
CYP2D6-substrate:	0.082
CYP3A4-inhibitor:	0.006
CYP3A4-substrate:	0.012

ADMET: Excretion

Clearance (CL):	1.938
Half-life (T1/2):	0.871

ADMET: Toxicity

hERG Blockers:	0.018
Human Hepatotoxicity (H-HT):	0.375
Drug-inuced Liver Injury (DILI):	0.049
AMES Toxicity:	0.009
Rat Oral Acute Toxicity:	0.369
Maximum Recommended Daily Dose:	0.936
Skin Sensitization:	0.605
Carcinogencity:	0.018
Eye Corrosion:	0.003
Eye Irritation:	0.141
Respiratory Toxicity:	0.687

Download Data

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

Natural Product: NPC286697

Natural Product ID:	NPC286697
*Common Name:**	MDIUMSLCYIJBQC-AUXPREMHSA-N
IUPAC Name:	n.a.
Synonyms:
Standard InCHIKey:	MDIUMSLCYIJBQC-AUXPREMHSA-N
Standard InCHI:	InChI=1S/C18H34O5/c1-2-3-7-11-16(20)17(21)14-13-15(19)10-8-5-4-6-9-12-18(22)23/h13-17,19-21H,2-12H2,1H3,(H,22,23)/b14-13+/t15-,16-,17-/m1/s1
SMILES:	CCCCC[C@H]([C@@H](/C=C/[C@@H](CCCCCCCC(=O)O)O)O)O
Synthetic Gene Cluster:	n.a.
ChEMBL Identifier:	n.a.
PubChem CID:	9923590
Chemical Classification:**	CHEMONTID:0000000 [Organic compounds] [CHEMONTID:0000012] Lipids and lipid-like molecules [CHEMONTID:0003909] Fatty Acyls [CHEMONTID:0000262] Fatty acids and conjugates [CHEMONTID:0002949] Long-chain fatty acids

*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
NPO26327	Chaenomeles sinensis	Species	Rosaceae	Eukaryota	n.a.	n.a.	n.a.	PMID[14600382]
NPO26327	Chaenomeles sinensis	Species	Rosaceae	Eukaryota	Twigs	n.a.	n.a.	PMID[25894905]
NPO26327	Chaenomeles sinensis	Species	Rosaceae	Eukaryota	Twigs	n.a.	n.a.	PMID[28358502]
NPO19048	Pinellia ternata	Species	Araceae	Eukaryota	n.a.	n.a.	n.a.	Database[HerDing]
NPO26327	Chaenomeles sinensis	Species	Rosaceae	Eukaryota	n.a.	n.a.	n.a.	Database[HerDing]
NPO26327	Chaenomeles sinensis	Species	Rosaceae	Eukaryota	n.a.	n.a.	n.a.	Database[TCMID]
NPO3813	Chaenomeles speciosa	Species	Rosaceae	Eukaryota	n.a.	n.a.	n.a.	Database[TCMID]
NPO19048	Pinellia ternata	Species	Araceae	Eukaryota	n.a.	n.a.	n.a.	Database[TCMID]
NPO3813	Chaenomeles speciosa	Species	Rosaceae	Eukaryota	n.a.	n.a.	n.a.	Database[TCM_Taiwan]
NPO19048	Pinellia ternata	Species	Araceae	Eukaryota	n.a.	n.a.	n.a.	Database[TCM_Taiwan]
NPO19048	Pinellia ternata	Species	Araceae	Eukaryota	n.a.	n.a.	n.a.	Database[TM-MC]
NPO3813	Chaenomeles speciosa	Species	Rosaceae	Eukaryota	n.a.	n.a.	n.a.	Database[TM-MC]
NPO26327	Chaenomeles sinensis	Species	Rosaceae	Eukaryota	n.a.	n.a.	n.a.	Database[TM-MC]
NPO26327	Chaenomeles sinensis	Species	Rosaceae	Eukaryota	n.a.	n.a.	n.a.	Database[UNPD]
NPO19048	Pinellia ternata	Species	Araceae	Eukaryota	n.a.	n.a.	n.a.	Database[UNPD]
NPO3813	Chaenomeles speciosa	Species	Rosaceae	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 NPC286697 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	164
0.1-0.2	1666
0.2-0.3	7244
0.3-0.4	17791
0.4-0.5	8865
0.5-0.6	5065
0.6-0.7	1523
0.7-0.8	332
0.8-0.85	19
0.85-0.9	20
0.9-0.95	5
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 NPC286697 and all drugs/candidates.
● The right table: Most similar clinical/approved drugs (Tc>=0.56 or Top200).

range	Tanimoto Coefficient
0-0.1	132
0.1-0.2	2502
0.2-0.3	3727
0.3-0.4	1978
0.4-0.5	619
0.5-0.6	127
0.6-0.7	38
0.7-0.8	24
0.8-0.85	2
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