Structure

Physi-Chem Properties

Molecular Weight:  826.44
Volume:  807.827
LogP:  0.73
LogD:  1.089
LogS:  -2.33
# Rotatable Bonds:  9
TPSA:  262.36
# H-Bond Aceptor:  16
# H-Bond Donor:  9
# Rings:  7
# Heavy Atoms:  16

MedChem Properties

QED Drug-Likeness Score:  0.12
Synthetic Accessibility Score:  6.091
Fsp3:  0.905
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:  -6.016
MDCK Permeability:  0.00012201550998724997
Pgp-inhibitor:  0.282
Pgp-substrate:  0.008
Human Intestinal Absorption (HIA):  0.987
20% Bioavailability (F20%):  0.993
30% Bioavailability (F30%):  0.986

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):  0.098
Plasma Protein Binding (PPB):  77.99687194824219%
Volume Distribution (VD):  0.377
Pgp-substrate:  18.70030975341797%

ADMET: Metabolism

CYP1A2-inhibitor:  0.0
CYP1A2-substrate:  0.817
CYP2C19-inhibitor:  0.0
CYP2C19-substrate:  0.657
CYP2C9-inhibitor:  0.0
CYP2C9-substrate:  0.052
CYP2D6-inhibitor:  0.0
CYP2D6-substrate:  0.083
CYP3A4-inhibitor:  0.064
CYP3A4-substrate:  0.029

ADMET: Excretion

Clearance (CL):  1.121
Half-life (T1/2):  0.068

ADMET: Toxicity

hERG Blockers:  0.002
Human Hepatotoxicity (H-HT):  0.177
Drug-inuced Liver Injury (DILI):  0.01
AMES Toxicity:  0.101
Rat Oral Acute Toxicity:  0.195
Maximum Recommended Daily Dose:  0.02
Skin Sensitization:  0.0
Carcinogencity:  0.047
Eye Corrosion:  0.003
Eye Irritation:  0.003
Respiratory Toxicity:  0.055

Download Data

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

  Natural Product: NPC253060

Natural Product ID:  NPC253060
Common Name*:   YRHWKFMGEDDGIJ-UHFFFAOYSA-N
IUPAC Name:   n.a.
Synonyms:  
Standard InCHIKey:  YRHWKFMGEDDGIJ-UHFFFAOYSA-N
Standard InCHI:  InChI=1S/C42H66O16/c1-37(36(53)54-6)11-13-42(35(51)52)14-12-40(4)20(21(42)15-37)7-8-26-38(2)16-22(45)32(39(3,19-44)25(38)9-10-41(26,40)5)56-24-18-55-33(30(49)28(24)47)58-34-31(50)29(48)27(46)23(17-43)57-34/h7,21-34,43-50H,8-19H2,1-6H3,(H,51,52)
SMILES:  CC1(CCC2(CCC3(C)C(=CCC4C5(C)CC(C(C(C)(CO)C5CCC34C)OC3COC(C(C3O)O)OC3C(C(C(C(CO)O3)O)O)O)O)C2C1)C(=O)O)C(=O)OC
Synthetic Gene Cluster:   n.a.
ChEMBL Identifier:   n.a.
PubChem CID:   125210
Chemical Classification**:  
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000259] Prenol lipids
        • [CHEMONTID:0001553] Triterpenoids

*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
NPO20652 Phytolacca acinosa Species Phytolaccaceae Eukaryota n.a. n.a. n.a. PMID[12932140]
NPO17551 Phytolacca americana Species Phytolaccaceae Eukaryota roots n.a. n.a. PMID[18177012]
NPO17551 Phytolacca americana Species Phytolaccaceae Eukaryota Seeds n.a. n.a. PMID[26595875]
NPO17551 Phytolacca americana Species Phytolaccaceae Eukaryota Fruit n.a. n.a. Database[FooDB]
NPO17551 Phytolacca americana Species Phytolaccaceae Eukaryota Shoot n.a. n.a. Database[FooDB]
NPO17551 Phytolacca americana Species Phytolaccaceae Eukaryota n.a. n.a. Database[FooDB]
NPO2469 Erythrophleum couminga Species Fabaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO13887 Erythrophleum suaveolens Species Fabaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO31348 Phytolacca esculenta Species Phytolaccaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO17551 Phytolacca americana Species Phytolaccaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO20490 Erythrophleum ivorense Species Fabaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO12071 Erythrophleum guineense Species Fabaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO12071 Erythrophleum guineense Species Fabaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO17551 Phytolacca americana Species Phytolaccaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO13887 Erythrophleum suaveolens Species Fabaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO2469 Erythrophleum couminga Species Fabaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO20490 Erythrophleum ivorense Species Fabaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO20652 Phytolacca acinosa Species Phytolaccaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO12071 Erythrophleum guineense Species Fabaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO20490 Erythrophleum ivorense Species Fabaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO2469 Erythrophleum couminga Species Fabaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO20652 Phytolacca acinosa Species Phytolaccaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO17551 Phytolacca americana Species Phytolaccaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO13887 Erythrophleum suaveolens Species Fabaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO31348 Phytolacca esculenta Species Phytolaccaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO17551 Phytolacca americana Species Phytolaccaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO20652 Phytolacca acinosa Species Phytolaccaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO20652 Phytolacca acinosa Species Phytolaccaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO2469 Erythrophleum couminga Species Fabaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO17551 Phytolacca americana Species Phytolaccaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO12071 Erythrophleum guineense Species Fabaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO13887 Erythrophleum suaveolens Species Fabaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO20490 Erythrophleum ivorense 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 NPC253060 and all remaining natural products in the NPASS database.
●  The right table: Most similar natural products (Tc>=0.56 or Top200).

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 NPC253060 and all drugs/candidates.
●  The right table: Most similar clinical/approved drugs (Tc>=0.56 or Top200).

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